Index (Mahout Map-Reduce 0.13.0 API)

A B C D E F G H I J K L M N O P Q R S T U V W X Y

A

AbstractCandidateItemsStrategy - Class in org.apache.mahout.cf.taste.impl.recommender: Abstract base implementation for retrieving candidate items to recommend
AbstractCandidateItemsStrategy() - Constructor for class org.apache.mahout.cf.taste.impl.recommender.AbstractCandidateItemsStrategy
AbstractCluster - Class in org.apache.mahout.clustering
AbstractCluster() - Constructor for class org.apache.mahout.clustering.AbstractCluster
AbstractCluster(Vector, int) - Constructor for class org.apache.mahout.clustering.AbstractCluster
AbstractCluster(Vector, Vector, int) - Constructor for class org.apache.mahout.clustering.AbstractCluster
AbstractClusteringPolicy - Class in org.apache.mahout.clustering.iterator
AbstractClusteringPolicy() - Constructor for class org.apache.mahout.clustering.iterator.AbstractClusteringPolicy
AbstractDataModel - Class in org.apache.mahout.cf.taste.impl.model: Contains some features common to all implementations.
AbstractDataModel() - Constructor for class org.apache.mahout.cf.taste.impl.model.AbstractDataModel
AbstractDifferenceRecommenderEvaluator - Class in org.apache.mahout.cf.taste.impl.eval: Abstract superclass of a couple implementations, providing shared functionality.
AbstractDifferenceRecommenderEvaluator() - Constructor for class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator
AbstractDifferenceRecommenderEvaluator.PreferenceEstimateCallable - Class in org.apache.mahout.cf.taste.impl.eval
AbstractFactorizer - Class in org.apache.mahout.cf.taste.impl.recommender.svd: base class for Factorizers, provides ID to index mapping
AbstractFactorizer(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.AbstractFactorizer
AbstractIDMigrator - Class in org.apache.mahout.cf.taste.impl.model
AbstractIDMigrator() - Constructor for class org.apache.mahout.cf.taste.impl.model.AbstractIDMigrator
AbstractItemSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
AbstractItemSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.AbstractItemSimilarity
AbstractJDBCComponent - Class in org.apache.mahout.cf.taste.impl.common.jdbc: A helper class with common elements for several JDBC-related components.
AbstractJDBCComponent() - Constructor for class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent
AbstractJDBCIDMigrator - Class in org.apache.mahout.cf.taste.impl.model: Implementation which stores the reverse long-to-String mapping in a database.
AbstractJDBCIDMigrator(DataSource, String, String) - Constructor for class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator
AbstractJob - Class in org.apache.mahout.common: Superclass of many Mahout Hadoop "jobs".
AbstractJob() - Constructor for class org.apache.mahout.common.AbstractJob
AbstractLongPrimitiveIterator - Class in org.apache.mahout.cf.taste.impl.common
AbstractLongPrimitiveIterator() - Constructor for class org.apache.mahout.cf.taste.impl.common.AbstractLongPrimitiveIterator
AbstractNaiveBayesClassifier - Class in org.apache.mahout.classifier.naivebayes: Class implementing the Naive Bayes Classifier Algorithm.
AbstractNaiveBayesClassifier(NaiveBayesModel) - Constructor for class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier
AbstractOnlineLogisticRegression - Class in org.apache.mahout.classifier.sgd: Generic definition of a 1 of n logistic regression classifier that returns probabilities in response to a feature vector.
AbstractOnlineLogisticRegression() - Constructor for class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
AbstractParameter<T> - Class in org.apache.mahout.common.parameters
AbstractParameter(Class<T>, String, String, Configuration, T, String) - Constructor for class org.apache.mahout.common.parameters.AbstractParameter
AbstractRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
AbstractRecommender(DataModel, CandidateItemsStrategy) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
AbstractRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
AbstractVectorClassifier - Class in org.apache.mahout.classifier: Defines the interface for classifiers that take a vector as input.
AbstractVectorClassifier() - Constructor for class org.apache.mahout.classifier.AbstractVectorClassifier
ABtDenseOutJob - Class in org.apache.mahout.math.hadoop.stochasticsvd: Computes ABt products, then first step of QR which is pushed down to the reducer.
ABtDenseOutJob.ABtMapper - Class in org.apache.mahout.math.hadoop.stochasticsvd: So, here, i preload A block into memory.
ABtDenseOutJob.QRReducer - Class in org.apache.mahout.math.hadoop.stochasticsvd: QR first step pushed down to reducer.
ABtJob - Class in org.apache.mahout.math.hadoop.stochasticsvd: Computes ABt products, then first step of QR which is pushed down to the reducer.
ABtJob.ABtMapper - Class in org.apache.mahout.math.hadoop.stochasticsvd: So, here, i preload A block into memory.
ABtJob.QRReducer - Class in org.apache.mahout.math.hadoop.stochasticsvd: QR first step pushed down to reducer.
ABtMapper() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.ABtMapper
ABtMapper() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.ABtMapper
accum - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer
accum - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductCombiner
accum - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductReducer
accumDots(int, double, double[]) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.Omega
accumDots(int, double, Vector) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.Omega
AdaptiveLogisticRegression - Class in org.apache.mahout.classifier.sgd: This is a meta-learner that maintains a pool of ordinary OnlineLogisticRegression learners.
AdaptiveLogisticRegression() - Constructor for class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
AdaptiveLogisticRegression(int, int, PriorFunction) - Constructor for class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression: Uses AdaptiveLogisticRegression.DEFAULT_THREAD_COUNT and AdaptiveLogisticRegression.DEFAULT_POOL_SIZE
AdaptiveLogisticRegression(int, int, PriorFunction, int, int) - Constructor for class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
AdaptiveLogisticRegression.TrainingExample - Class in org.apache.mahout.classifier.sgd
AdaptiveLogisticRegression.Wrapper - Class in org.apache.mahout.classifier.sgd: Provides a shim between the EP optimization stuff and the CrossFoldLearner.
AdaptiveWordValueEncoder - Class in org.apache.mahout.vectorizer.encoders: Encodes words into vectors much as does WordValueEncoder while maintaining an adaptive dictionary of values seen so far.
AdaptiveWordValueEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.AdaptiveWordValueEncoder
add(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
add(SimilarItems) - Method in class org.apache.mahout.cf.taste.impl.similarity.precompute.FileSimilarItemsWriter
add(SimilarItems) - Method in interface org.apache.mahout.cf.taste.similarity.precompute.SimilarItemsWriter
add(int[], int[]) - Static method in class org.apache.mahout.classifier.df.data.DataUtils: Deprecated.

foreach i : array1[i] += array2[i]
add(int, double) - Method in class org.apache.mahout.classifier.evaluation.Auc: Adds a score to the AUC buffers.
add(int, int) - Method in class org.apache.mahout.classifier.evaluation.Auc
add(Integer) - Method in class org.apache.mahout.common.IntegerTuple: add an entry to the end of the list
add(String) - Method in class org.apache.mahout.common.StringTuple: add an entry to the end of the list
add(State<T, U>) - Method in class org.apache.mahout.ep.EvolutionaryProcess
add(Vector) - Method in class org.apache.mahout.math.neighborhood.BruteSearch
add(Vector) - Method in class org.apache.mahout.math.neighborhood.FastProjectionSearch: Add a new Vector to the Searcher that will be checked when getting the nearest neighbors.
add(Vector) - Method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch
add(Vector) - Method in class org.apache.mahout.math.neighborhood.ProjectionSearch: Adds a WeightedVector into the set of projections for later searching.
add(Vector) - Method in class org.apache.mahout.math.neighborhood.Searcher: Add a new Vector to the Searcher that will be checked when getting the nearest neighbors.
addAll(long[]) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
addAll(FastIDSet) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
addAll(Iterable<? extends Vector>) - Method in class org.apache.mahout.math.neighborhood.Searcher: Adds all the data elements in the Searcher.
addAllMatrixSlices(Iterable<MatrixSlice>) - Method in class org.apache.mahout.math.neighborhood.Searcher: Adds all the data elements in the Searcher.
addAllMatrixSlicesAsWeightedVectors(Iterable<MatrixSlice>) - Method in class org.apache.mahout.math.neighborhood.Searcher
addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage
addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage
addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
addDatum(double) - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverage
addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
addDatum(double, double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
addDatum(double, double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverageAndStdDev
addDependency(Refreshable) - Method in class org.apache.mahout.cf.taste.impl.common.RefreshHelper: Add a dependency to be refreshed first when the encapsulating object does.
addFlag(String, String, String) - Method in class org.apache.mahout.common.AbstractJob: Add an option with no argument whose presence can be checked for using containsKey method on the map returned by AbstractJob.parseArguments(String[]);
addInputOption() - Method in class org.apache.mahout.common.AbstractJob: Add the default input directory option, '-i' which takes a directory name as an argument.
addInstance(String, ClassifierResult) - Method in class org.apache.mahout.classifier.ConfusionMatrix
addInstance(String, String) - Method in class org.apache.mahout.classifier.ConfusionMatrix
addInstance(double, double) - Method in class org.apache.mahout.classifier.RegressionResultAnalyzer
addInstance(String, ClassifierResult) - Method in class org.apache.mahout.classifier.ResultAnalyzer
addInteractionToVector(String, String, double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder: Adds a value to a vector.
addInteractionToVector(byte[], byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder: Adds a value to a vector.
addModel(OnlineLogisticRegression) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
addOption(String, String, String) - Method in class org.apache.mahout.common.AbstractJob: Add an option to the the set of options this job will parse when AbstractJob.parseArguments(String[]) is called.
addOption(String, String, String, boolean) - Method in class org.apache.mahout.common.AbstractJob: Add an option to the the set of options this job will parse when AbstractJob.parseArguments(String[]) is called.
addOption(String, String, String, String) - Method in class org.apache.mahout.common.AbstractJob: Add an option to the the set of options this job will parse when AbstractJob.parseArguments(String[]) is called.
addOption(Option) - Method in class org.apache.mahout.common.AbstractJob: Add an arbitrary option to the set of options this job will parse when AbstractJob.parseArguments(String[]) is called.
addOutputOption() - Method in class org.apache.mahout.common.AbstractJob: Add the default output directory option, '-o' which takes a directory name as an argument.
addPointToCanopies(Vector, Collection<Canopy>) - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer: Deprecated.

This is the same algorithm as the reference but inverted to iterate over existing canopies instead of the points.
addSample(int, String, double) - Method in class org.apache.mahout.math.stats.GlobalOnlineAuc
addSample(int, double) - Method in class org.apache.mahout.math.stats.GlobalOnlineAuc
addSample(int, String, double) - Method in class org.apache.mahout.math.stats.GroupedOnlineAuc
addSample(int, double) - Method in class org.apache.mahout.math.stats.GroupedOnlineAuc
addSample(int, String, double) - Method in interface org.apache.mahout.math.stats.OnlineAuc
addSample(int, double) - Method in interface org.apache.mahout.math.stats.OnlineAuc
addText(byte[]) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder: Adds text to the internal word counter, but delays converting it to vector form until flush is called.
addText(CharSequence) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder: Adds text to the internal word counter, but delays converting it to vector form until flush is called.
addToHistory(int, Vector) - Method in class org.apache.mahout.classifier.sgd.RankingGradient
addToVector(String, double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.AdaptiveWordValueEncoder: Adds a value to a vector.
addToVector(byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.ConstantValueEncoder
addToVector(byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.ContinuousValueEncoder: Adds a value to a vector.
addToVector(String, Vector) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder: Adds a value expressed in string form to a vector.
addToVector(byte[], Vector) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder: Adds a value expressed in byte array form to a vector.
addToVector(String, double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder: Adds a weighted value expressed in string form to a vector.
addToVector(byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
addToVector(String, double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder: Adds a value to a vector.
addToVector(byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder: Adds a value to a vector.
addToVector(byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder: Adds a value to a vector after tokenizing it by splitting on non-alphanum characters.
addToVector(byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.WordValueEncoder: Adds a value to a vector.
adjust(int) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
AFFINITY_DIMENSIONS - Static variable in class org.apache.mahout.clustering.spectral.Keys
AffinityMatrixInputJob - Class in org.apache.mahout.clustering.spectral
AffinityMatrixInputMapper - Class in org.apache.mahout.clustering.spectral: Handles reading the files representing the affinity matrix.
AffinityMatrixInputMapper() - Constructor for class org.apache.mahout.clustering.spectral.AffinityMatrixInputMapper
AffinityMatrixInputReducer - Class in org.apache.mahout.clustering.spectral: Tasked with taking each DistributedRowMatrix entry and collecting them into vectors corresponding to rows.
AffinityMatrixInputReducer() - Constructor for class org.apache.mahout.clustering.spectral.AffinityMatrixInputReducer
age(double, double, double) - Method in class org.apache.mahout.classifier.sgd.ElasticBandPrior
age(double, double, double) - Method in class org.apache.mahout.classifier.sgd.L1
age(double, double, double) - Method in class org.apache.mahout.classifier.sgd.L2
age(double, double, double) - Method in interface org.apache.mahout.classifier.sgd.PriorFunction: Applies the regularization to a coefficient.
age(double, double, double) - Method in class org.apache.mahout.classifier.sgd.TPrior
age(double, double, double) - Method in class org.apache.mahout.classifier.sgd.UniformPrior
aggregate(double, double) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CosineSimilarity
aggregate(double, double) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CountbasedMeasure
aggregate(double, double) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.EuclideanDistanceSimilarity
aggregate(double, double) - Method in interface org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.VectorSimilarityMeasure
AggregateAndRecommendReducer - Class in org.apache.mahout.cf.taste.hadoop.item: computes prediction values for each user
AggregateAndRecommendReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.AggregateAndRecommendReducer
allItemFeatures() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
allSimilarItemIDs(long) - Method in class org.apache.mahout.cf.taste.impl.similarity.AbstractItemSimilarity
allSimilarItemIDs(long) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity
allSimilarItemIDs(long) - Method in class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity
allSimilarItemIDs(long) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity
allSimilarItemIDs(long) - Method in interface org.apache.mahout.cf.taste.similarity.ItemSimilarity
AllSimilarItemsCandidateItemsStrategy - Class in org.apache.mahout.cf.taste.impl.recommender: returns the result of ItemSimilarity.allSimilarItemIDs(long) as candidate items
AllSimilarItemsCandidateItemsStrategy(ItemSimilarity) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.AllSimilarItemsCandidateItemsStrategy
AllUnknownItemsCandidateItemsStrategy - Class in org.apache.mahout.cf.taste.impl.recommender
AllUnknownItemsCandidateItemsStrategy() - Constructor for class org.apache.mahout.cf.taste.impl.recommender.AllUnknownItemsCandidateItemsStrategy
allUserFeatures() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
alpha(double) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
alpha(double) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression: Chainable configuration option.
ALPHA_I - Static variable in class org.apache.mahout.classifier.naivebayes.training.ThetaMapper
alphaI() - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
alphaI() - Method in class org.apache.mahout.classifier.naivebayes.training.ComplementaryThetaTrainer
ALSWRFactorizer - Class in org.apache.mahout.cf.taste.impl.recommender.svd: factorizes the rating matrix using "Alternating-Least-Squares with Weighted-λ-Regularization" as described in "Large-scale Collaborative Filtering for the Netflix Prize" also supports the implicit feedback variant of this approach as described in "Collaborative Filtering for Implicit Feedback Datasets" available at http://research.yahoo.com/pub/2433
ALSWRFactorizer(DataModel, int, double, int, boolean, double, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.ALSWRFactorizer
ALSWRFactorizer(DataModel, int, double, int, boolean, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.ALSWRFactorizer
ALSWRFactorizer(DataModel, int, double, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.ALSWRFactorizer
ANALYZER_CLASS - Static variable in class org.apache.mahout.vectorizer.DocumentProcessor
ANALYZER_NAME - Static variable in class org.apache.mahout.vectorizer.EncodingMapper
ANALYZER_NAME_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
analyzerOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator: Returns a default command line option for specifying a Lucene analyzer class
AnalyzerUtils - Class in org.apache.mahout.common.lucene
appendRow(double[]) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver: api for row-by-row addition
apply(String, int, Vector, AbstractVectorClassifier) - Method in class org.apache.mahout.classifier.sgd.DefaultGradient: Provides a default gradient computation useful for logistic regression.
apply(String, int, Vector, AbstractVectorClassifier) - Method in interface org.apache.mahout.classifier.sgd.Gradient
apply(String, int, Vector, AbstractVectorClassifier) - Method in class org.apache.mahout.classifier.sgd.MixedGradient
apply(String, int, Vector, AbstractVectorClassifier) - Method in class org.apache.mahout.classifier.sgd.RankingGradient
apply(T, double[]) - Method in interface org.apache.mahout.ep.EvolutionaryProcess.Function
apply(double) - Method in class org.apache.mahout.ep.Mapping.Exponential
apply(double) - Method in class org.apache.mahout.ep.Mapping.Identity
apply(double) - Method in class org.apache.mahout.ep.Mapping.LogLimit
apply(double) - Method in class org.apache.mahout.ep.Mapping.SoftLimit
applyGivensInPlace(double, double, double[], double[], int, int) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
applyGivensInPlace(double, double, Vector, Vector, int, int) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
applyGivensInPlace(double, double, int, int, Matrix) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
argMap - Variable in class org.apache.mahout.common.AbstractJob
asFormatString(String[]) - Method in class org.apache.mahout.clustering.AbstractCluster
asFormatString() - Method in class org.apache.mahout.clustering.canopy.Canopy: Deprecated.
asFormatString(String[]) - Method in interface org.apache.mahout.clustering.Cluster: Produce a custom, human-friendly, printable representation of the Cluster.
asFormatString() - Method in class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
asFormatString() - Method in class org.apache.mahout.clustering.kmeans.Kluster
asJson(String[]) - Method in class org.apache.mahout.clustering.AbstractCluster
asJson(String[]) - Method in interface org.apache.mahout.clustering.Cluster: Produce a JSON representation of the Cluster.
assign(HmmModel) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel: Assign the content of another HMM model to this one
asString(String) - Method in class org.apache.mahout.vectorizer.encoders.ConstantValueEncoder
asString(String) - Method in class org.apache.mahout.vectorizer.encoders.ContinuousValueEncoder: Converts a value into a form that would help a human understand the internals of how the value is being interpreted.
asString(String) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder: Converts a value into a form that would help a human understand the internals of how the value is being interpreted.
asString(String) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder: Converts a value into a form that would help a human understand the internals of how the value is being interpreted.
asString(String) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder: Converts a value into a form that would help a human understand the internals of how the value is being interpreted.
asString(String) - Method in class org.apache.mahout.vectorizer.encoders.WordValueEncoder: Converts a value into a form that would help a human understand the internals of how the value is being interpreted.
Auc - Class in org.apache.mahout.classifier.evaluation: Computes AUC and a few other accuracy statistics without storing huge amounts of data.
Auc(double) - Constructor for class org.apache.mahout.classifier.evaluation.Auc: Allocates a new data-structure for accumulating information about AUC and a few other accuracy measures.
Auc() - Constructor for class org.apache.mahout.classifier.evaluation.Auc
auc() - Method in class org.apache.mahout.classifier.evaluation.Auc: Computes the AUC of points seen so far.
auc() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression: What is the AUC for the current best member of the population.
auc() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
auc() - Method in class org.apache.mahout.math.stats.GlobalOnlineAuc
auc() - Method in class org.apache.mahout.math.stats.GroupedOnlineAuc
auc() - Method in interface org.apache.mahout.math.stats.OnlineAuc
AverageAbsoluteDifferenceRecommenderEvaluator - Class in org.apache.mahout.cf.taste.impl.eval: A RecommenderEvaluator which computes the average absolute difference between predicted and actual ratings for users.
AverageAbsoluteDifferenceRecommenderEvaluator() - Constructor for class org.apache.mahout.cf.taste.impl.eval.AverageAbsoluteDifferenceRecommenderEvaluator
AveragingPreferenceInferrer - Class in org.apache.mahout.cf.taste.impl.similarity: Implementations of this interface compute an inferred preference for a user and an item that the user has not expressed any preference for.
AveragingPreferenceInferrer(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.AveragingPreferenceInferrer

B

BACKFILL_PERPLEXITY - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
backwardAlgorithm(HmmModel, int[], boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmAlgorithms: External function to compute a matrix of beta factors
Bagging - Class in org.apache.mahout.classifier.df: Deprecated.
Bagging(TreeBuilder, Data) - Constructor for class org.apache.mahout.classifier.df.Bagging: Deprecated.
bagging(Random) - Method in class org.apache.mahout.classifier.df.data.Data: Deprecated.

if data has N cases, sample N cases at random -but with replacement.
bagging(Random, boolean[]) - Method in class org.apache.mahout.classifier.df.data.Data: Deprecated.

if data has N cases, sample N cases at random -but with replacement.
BallKMeans - Class in org.apache.mahout.clustering.streaming.cluster: Implements a ball k-means algorithm for weighted vectors with probabilistic seeding similar to k-means++.
BallKMeans(UpdatableSearcher, int, int) - Constructor for class org.apache.mahout.clustering.streaming.cluster.BallKMeans
BallKMeans(UpdatableSearcher, int, int, boolean, int) - Constructor for class org.apache.mahout.clustering.streaming.cluster.BallKMeans
BallKMeans(UpdatableSearcher, int, int, double, boolean, boolean, double, int) - Constructor for class org.apache.mahout.clustering.streaming.cluster.BallKMeans
BasicStats - Class in org.apache.mahout.math.hadoop.stats: Methods for calculating basic stats (mean, variance, stdDev, etc.) in map/reduce
BASIS_PREFIX - Static variable in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState
BatchItemSimilarities - Class in org.apache.mahout.cf.taste.similarity.precompute
BatchItemSimilarities(ItemBasedRecommender, int) - Constructor for class org.apache.mahout.cf.taste.similarity.precompute.BatchItemSimilarities
batchTrain(Map<Vector, Vector>, boolean, int) - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer
BaumWelchTrainer - Class in org.apache.mahout.classifier.sequencelearning.hmm: A class for EM training of HMM from console
BayesTestMapper - Class in org.apache.mahout.classifier.naivebayes.test: Run the input through the model and see if it matches.
BayesTestMapper() - Constructor for class org.apache.mahout.classifier.naivebayes.test.BayesTestMapper
BayesUtils - Class in org.apache.mahout.classifier.naivebayes
beta - Variable in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
biasLearningRate - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
biasReg - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
BLOCKHEIGHT - Static variable in class org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver
blockHeight - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer
blockHeight - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer
blockHeight - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductCombiner
blockHeight - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductReducer
BOOLEAN_DATA - Static variable in class org.apache.mahout.cf.taste.hadoop.item.RecommenderJob
BooleanItemPreferenceArray - Class in org.apache.mahout.cf.taste.impl.model: Like BooleanUserPreferenceArray but stores preferences for one item (all item IDs the same) rather than one user.
BooleanItemPreferenceArray(int) - Constructor for class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
BooleanItemPreferenceArray(List<? extends Preference>, boolean) - Constructor for class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
BooleanPreference - Class in org.apache.mahout.cf.taste.impl.model: Encapsulates a simple boolean "preference" for an item whose value does not matter (is fixed at 1.0).
BooleanPreference(long, long) - Constructor for class org.apache.mahout.cf.taste.impl.model.BooleanPreference
BooleanUserPreferenceArray - Class in org.apache.mahout.cf.taste.impl.model: Like GenericUserPreferenceArray but stores, conceptually, BooleanPreference objects which have no associated preference value.
BooleanUserPreferenceArray(int) - Constructor for class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
BooleanUserPreferenceArray(List<? extends Preference>) - Constructor for class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
BOTTOM_LEVEL_CLUSTER_DIRECTORY - Static variable in class org.apache.mahout.clustering.topdown.PathDirectory
BruteSearch - Class in org.apache.mahout.math.neighborhood: Search for nearest neighbors using a complete search (i.e.
BruteSearch(DistanceMeasure) - Constructor for class org.apache.mahout.math.neighborhood.BruteSearch
BtJob - Class in org.apache.mahout.math.hadoop.stochasticsvd: Bt job.
BtJob.BtMapper - Class in org.apache.mahout.math.hadoop.stochasticsvd
BtJob.OuterProductCombiner - Class in org.apache.mahout.math.hadoop.stochasticsvd
BtJob.OuterProductReducer - Class in org.apache.mahout.math.hadoop.stochasticsvd
BtMapper() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.BtMapper
build(Random) - Method in class org.apache.mahout.classifier.df.Bagging: Deprecated.

Builds one tree
build(Random, Data) - Method in class org.apache.mahout.classifier.df.builder.DecisionTreeBuilder: Deprecated.
build(Random, Data) - Method in class org.apache.mahout.classifier.df.builder.DefaultTreeBuilder: Deprecated.
build(Random, Data) - Method in interface org.apache.mahout.classifier.df.builder.TreeBuilder: Deprecated.

Builds a Decision tree using the training data
build(int) - Method in class org.apache.mahout.classifier.df.mapreduce.Builder: Deprecated.
build(int) - Method in class org.apache.mahout.classifier.df.ref.SequentialBuilder: Deprecated.
buildClusters(Configuration, Path, Path, DistanceMeasure, double, double, int, boolean) - Static method in class org.apache.mahout.clustering.canopy.CanopyDriver: Deprecated.

Convenience method for backwards compatibility
buildClusters(Configuration, Path, Path, DistanceMeasure, double, double, double, double, int, boolean) - Static method in class org.apache.mahout.clustering.canopy.CanopyDriver: Deprecated.

Build a directory of Canopy clusters from the input vectors and other arguments.
buildClusters(Configuration, Path, Path, Path, double, int, float, boolean) - Static method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver: Iterate over the input vectors to produce cluster directories for each iteration
buildClusters(Configuration, Path, Path, Path, int, String, boolean) - Static method in class org.apache.mahout.clustering.kmeans.KMeansDriver: Iterate over the input vectors to produce cluster directories for each iteration
buildDataModel(FastByIDMap<PreferenceArray>) - Method in interface org.apache.mahout.cf.taste.eval.DataModelBuilder: Builds a DataModel implementation to be used in an evaluation, given training data.
buildDirList(FileSystem, FileStatus) - Static method in class org.apache.mahout.common.HadoopUtil: Builds a comma-separated list of input splits
buildDirList(FileSystem, FileStatus, PathFilter) - Static method in class org.apache.mahout.common.HadoopUtil: Builds a comma-separated list of input splits
Builder - Class in org.apache.mahout.classifier.df.mapreduce: Deprecated.
Builder(TreeBuilder, Path, Path, Long, Configuration) - Constructor for class org.apache.mahout.classifier.df.mapreduce.Builder: Deprecated.
buildFromEigens(Configuration, Path, Path, int, DistanceMeasure) - Static method in class org.apache.mahout.clustering.spectral.kmeans.EigenSeedGenerator
buildModel() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
buildOption(String, String, String, boolean, boolean, String) - Static method in class org.apache.mahout.common.AbstractJob: Build an option with the given parameters.
buildOption(String, String, String, boolean, int, int, boolean, String) - Static method in class org.apache.mahout.common.AbstractJob
buildRandom(Configuration, Path, Path, int, DistanceMeasure) - Static method in class org.apache.mahout.clustering.kmeans.RandomSeedGenerator
buildRandom(Configuration, Path, Path, int, DistanceMeasure, Long) - Static method in class org.apache.mahout.clustering.kmeans.RandomSeedGenerator
buildRecommender(DataModel) - Method in interface org.apache.mahout.cf.taste.eval.RecommenderBuilder: Builds a Recommender implementation to be evaluated, using the given DataModel.
buildRefreshed(Collection<Refreshable>) - Static method in class org.apache.mahout.cf.taste.impl.common.RefreshHelper: Creates a new and empty Collection if the method parameter is null.
buildTransposeJob(Path, Path, int) - Static method in class org.apache.mahout.math.hadoop.TransposeJob
buildTransposeJob(Configuration, Path, Path, int) - Static method in class org.apache.mahout.math.hadoop.TransposeJob
bytesForString(String) - Static method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
ByValueRecommendedItemComparator - Class in org.apache.mahout.cf.taste.impl.recommender: Defines a natural ordering from most-preferred item (highest value) to least-preferred.
ByValueRecommendedItemComparator() - Constructor for class org.apache.mahout.cf.taste.impl.recommender.ByValueRecommendedItemComparator

C

Cache<K,V> - Class in org.apache.mahout.cf.taste.impl.common: An efficient Map-like class which caches values for keys.
Cache(Retriever<? super K, ? extends V>) - Constructor for class org.apache.mahout.cf.taste.impl.common.Cache: Creates a new cache based on the given Retriever.
Cache(Retriever<? super K, ? extends V>, int) - Constructor for class org.apache.mahout.cf.taste.impl.common.Cache: Creates a new cache based on the given Retriever and with given maximum size.
Cache.MatchPredicate<T> - Interface in org.apache.mahout.cf.taste.impl.common: Used by {#link #removeKeysMatching(Object)} to decide things that are matching.
cacheFiles(Path, Configuration) - Static method in class org.apache.mahout.common.HadoopUtil
CachingContinuousValueEncoder - Class in org.apache.mahout.vectorizer.encoders
CachingContinuousValueEncoder(String, int) - Constructor for class org.apache.mahout.vectorizer.encoders.CachingContinuousValueEncoder
CachingCVB0Mapper - Class in org.apache.mahout.clustering.lda.cvb: Run ensemble learning via loading the ModelTrainer with two TopicModel instances: one from the previous iteration, the other empty.
CachingCVB0Mapper() - Constructor for class org.apache.mahout.clustering.lda.cvb.CachingCVB0Mapper
CachingCVB0PerplexityMapper - Class in org.apache.mahout.clustering.lda.cvb
CachingCVB0PerplexityMapper() - Constructor for class org.apache.mahout.clustering.lda.cvb.CachingCVB0PerplexityMapper
CachingCVB0PerplexityMapper.Counters - Enum in org.apache.mahout.clustering.lda.cvb: Hadoop counters for CachingCVB0PerplexityMapper, to aid in debugging.
CachingItemSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity: Caches the results from an underlying ItemSimilarity implementation.
CachingItemSimilarity(ItemSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity: Creates this on top of the given ItemSimilarity.
CachingItemSimilarity(ItemSimilarity, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity: Creates this on top of the given ItemSimilarity.
CachingRecommender - Class in org.apache.mahout.cf.taste.impl.recommender: A Recommender which caches the results from another Recommender in memory.
CachingRecommender(Recommender) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
CachingStaticWordValueEncoder - Class in org.apache.mahout.vectorizer.encoders
CachingStaticWordValueEncoder(String, int) - Constructor for class org.apache.mahout.vectorizer.encoders.CachingStaticWordValueEncoder
CachingTextValueEncoder - Class in org.apache.mahout.vectorizer.encoders
CachingTextValueEncoder(String, int) - Constructor for class org.apache.mahout.vectorizer.encoders.CachingTextValueEncoder
CachingUserNeighborhood - Class in org.apache.mahout.cf.taste.impl.neighborhood: A caching wrapper around an underlying UserNeighborhood implementation.
CachingUserNeighborhood(UserNeighborhood, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.neighborhood.CachingUserNeighborhood
CachingUserSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity: Caches the results from an underlying UserSimilarity implementation.
CachingUserSimilarity(UserSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.CachingUserSimilarity: Creates this on top of the given UserSimilarity.
CachingUserSimilarity(UserSimilarity, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.CachingUserSimilarity: Creates this on top of the given UserSimilarity.
CachingValueEncoder - Class in org.apache.mahout.vectorizer.encoders: Provides basic hashing semantics for encoders where the probe locations depend only on the name of the variable.
CachingValueEncoder(String, int) - Constructor for class org.apache.mahout.vectorizer.encoders.CachingValueEncoder
calcRelativeFilePath(Configuration, Path) - Static method in class org.apache.mahout.common.HadoopUtil
calculate(int, int, int, int) - Method in class org.apache.mahout.vectorizer.TF
calculate(int, int, int, int) - Method in class org.apache.mahout.vectorizer.TFIDF
calculate(int, int, int, int) - Method in interface org.apache.mahout.vectorizer.Weight: Experimental
calculateConvergence(double) - Method in class org.apache.mahout.clustering.kmeans.Kluster
calculateDerivativeValue(double, double) - Method in interface org.apache.mahout.clustering.kernel.IKernelProfile
calculateDerivativeValue(double, double) - Method in class org.apache.mahout.clustering.kernel.TriangularKernelProfile
calculateDF(Path, Path, Configuration, int) - Static method in class org.apache.mahout.vectorizer.tfidf.TFIDFConverter: Calculates the document frequencies of all terms from the input set of vectors in SequenceFile format.
calculatePerplexity(VectorIterable, VectorIterable) - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer
calculatePerplexity(VectorIterable, VectorIterable, double) - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer
calculatePerplexity(Vector, Vector, int) - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer
call() - Method in class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator.PreferenceEstimateCallable
call() - Method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansThread
CandidateItemsStrategy - Interface in org.apache.mahout.cf.taste.recommender: Used to retrieve all items that could possibly be recommended to the user
Canopy - Class in org.apache.mahout.clustering.canopy: Deprecated.
Canopy() - Constructor for class org.apache.mahout.clustering.canopy.Canopy: Deprecated.

Used for deserialization as a writable
Canopy(Vector, int, DistanceMeasure) - Constructor for class org.apache.mahout.clustering.canopy.Canopy: Deprecated.

Create a new Canopy containing the given point and canopyId
CanopyClusterer - Class in org.apache.mahout.clustering.canopy: Deprecated.
CanopyClusterer(DistanceMeasure, double, double) - Constructor for class org.apache.mahout.clustering.canopy.CanopyClusterer: Deprecated.
CanopyClusteringPolicy - Class in org.apache.mahout.clustering.iterator: Deprecated.
CanopyClusteringPolicy() - Constructor for class org.apache.mahout.clustering.iterator.CanopyClusteringPolicy: Deprecated.
CanopyConfigKeys - Class in org.apache.mahout.clustering.canopy: Deprecated.
canopyCovers(Canopy, Vector) - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer: Deprecated.

Return if the point is covered by the canopy
CanopyDriver - Class in org.apache.mahout.clustering.canopy: Deprecated.
CanopyDriver() - Constructor for class org.apache.mahout.clustering.canopy.CanopyDriver: Deprecated.
CanopyReducer - Class in org.apache.mahout.clustering.canopy: Deprecated.
CanopyReducer() - Constructor for class org.apache.mahout.clustering.canopy.CanopyReducer: Deprecated.
capEstimate(float) - Method in class org.apache.mahout.cf.taste.impl.recommender.EstimatedPreferenceCapper
capToMaxValue(float) - Method in class org.apache.mahout.cf.taste.hadoop.MutableRecommendedItem
CARDINALITY - Static variable in class org.apache.mahout.vectorizer.EncodingMapper
castVectorsToCentroids(Iterable<Vector>) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansUtilsMR: Returns an Iterable of Centroid from an Iterable of Vector by either casting each Vector to Centroid (if the instance extends Centroid) or create a new Centroid based on that Vector.
CategoricalNode - Class in org.apache.mahout.classifier.df.node: Deprecated.
CategoricalNode() - Constructor for class org.apache.mahout.classifier.df.node.CategoricalNode: Deprecated.
CategoricalNode(int, double[], Node[]) - Constructor for class org.apache.mahout.classifier.df.node.CategoricalNode: Deprecated.
CentroidWritable - Class in org.apache.mahout.clustering.streaming.mapreduce
CentroidWritable() - Constructor for class org.apache.mahout.clustering.streaming.mapreduce.CentroidWritable
CentroidWritable(Centroid) - Constructor for class org.apache.mahout.clustering.streaming.mapreduce.CentroidWritable
centroidWritablesToList(Iterable<CentroidWritable>) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansReducer
CF_KEY - Static variable in class org.apache.mahout.clustering.canopy.CanopyConfigKeys: Deprecated.
changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage
changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage
changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
changeDatum(double) - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverage
changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
changeDatum(double, double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
changeDatum(double, double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverageAndStdDev
ChebyshevDistanceMeasure - Class in org.apache.mahout.common.distance: This class implements a "Chebyshev distance" metric by finding the maximum difference between each coordinate.
ChebyshevDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.ChebyshevDistanceMeasure
checkNotNullAndLog(String, Object) - Static method in class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent
checkNotNullAndLog(String, Object[]) - Static method in class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent
choose2(double) - Static method in class org.apache.mahout.clustering.ClusteringUtils
CHOOSE_THRESHOLD - Static variable in class org.apache.mahout.cf.taste.impl.eval.GenericRecommenderIRStatsEvaluator: Pass as "relevanceThreshold" argument to GenericRecommenderIRStatsEvaluator.evaluate(RecommenderBuilder, DataModelBuilder, DataModel, IDRescorer, int, double, double) to have it attempt to compute a reasonable threshold.
CIMapper - Class in org.apache.mahout.clustering.iterator
CIMapper() - Constructor for class org.apache.mahout.clustering.iterator.CIMapper
CIReducer - Class in org.apache.mahout.clustering.iterator
CIReducer() - Constructor for class org.apache.mahout.clustering.iterator.CIReducer
CityBlockSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity: Implementation of City Block distance (also known as Manhattan distance) - the absolute value of the difference of each direction is summed.
CityBlockSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.CityBlockSimilarity
CityBlockSimilarity - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence.measures
CityBlockSimilarity() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CityBlockSimilarity
Classifier - Class in org.apache.mahout.classifier.df.mapreduce: Deprecated.
Classifier(Path, Path, Path, Path, Configuration) - Constructor for class org.apache.mahout.classifier.df.mapreduce.Classifier: Deprecated.
Classifier.CMapper - Class in org.apache.mahout.classifier.df.mapreduce: Deprecated.
ClassifierResult - Class in org.apache.mahout.classifier: Result of a document classification.
ClassifierResult() - Constructor for class org.apache.mahout.classifier.ClassifierResult
ClassifierResult(String, double) - Constructor for class org.apache.mahout.classifier.ClassifierResult
ClassifierResult(String) - Constructor for class org.apache.mahout.classifier.ClassifierResult
ClassifierResult(String, double, double) - Constructor for class org.apache.mahout.classifier.ClassifierResult
classify(Vector) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier: Compute and return a vector containing n-1 scores, where n is equal to numCategories(), given an input vector instance.
classify(Matrix) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier: Returns n-1 probabilities, one for each categories 1 through n-1, for each row of a matrix, where n is equal to numCategories().
classify(Data, double[][]) - Method in class org.apache.mahout.classifier.df.DecisionForest: Deprecated.

Classifies the data and calls callback for each classification
classify(Dataset, Random, Instance) - Method in class org.apache.mahout.classifier.df.DecisionForest: Deprecated.

predicts the label for the instance
classify(Instance) - Method in class org.apache.mahout.classifier.df.node.CategoricalNode: Deprecated.
classify(Instance) - Method in class org.apache.mahout.classifier.df.node.Leaf: Deprecated.
classify(Instance) - Method in class org.apache.mahout.classifier.df.node.Node: Deprecated.

predicts the label for the instance
classify(Instance) - Method in class org.apache.mahout.classifier.df.node.NumericalNode: Deprecated.
classify(Vector) - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier: Unsupported method.
classify(Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression: Returns n-1 probabilities, one for each category but the 0-th.
classify(Vector) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
classify(Vector) - Method in class org.apache.mahout.classifier.sgd.GradientMachine
classify(Vector) - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive
classify(Vector) - Method in class org.apache.mahout.clustering.classify.ClusterClassifier
classify(Vector, ClusterClassifier) - Method in class org.apache.mahout.clustering.iterator.AbstractClusteringPolicy
classify(Vector, ClusterClassifier) - Method in interface org.apache.mahout.clustering.iterator.ClusteringPolicy: Classify the data vector given the classifier's models
classify(Vector, ClusterClassifier) - Method in class org.apache.mahout.clustering.iterator.FuzzyKMeansClusteringPolicy
classifyFull(Vector) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier: Computes and returns a vector containing n scores, where n is numCategories(), given an input vector instance.
classifyFull(Vector, Vector) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier: Computes and returns a vector containing n scores, where n is numCategories(), given an input vector instance.
classifyFull(Matrix) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier: Returns a matrix where the rows of the matrix each contain n probabilities, one for each category.
classifyFull(Vector) - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier
classifyFull(Vector, Vector) - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier
classifyNoLink(Vector) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier: Compute and return a vector of scores before applying the inverse link function.
classifyNoLink(Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
classifyNoLink(Vector) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
classifyNoLink(Vector) - Method in class org.apache.mahout.classifier.sgd.GradientMachine
classifyNoLink(Vector) - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive
classifyScalar(Vector) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier: Classifies a vector in the special case of a binary classifier where AbstractVectorClassifier.classify(Vector) would return a vector with only one element.
classifyScalar(Matrix) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier: Returns a vector of probabilities of category 1, one for each row of a matrix.
classifyScalar(Vector) - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier: Unsupported method.
classifyScalar(Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression: Returns a single scalar probability in the case where we have two categories.
classifyScalar(Vector) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
classifyScalar(Vector) - Method in class org.apache.mahout.classifier.sgd.GradientMachine
classifyScalar(Vector) - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive
classifyScalar(Vector) - Method in class org.apache.mahout.clustering.classify.ClusterClassifier
classifyScalarNoLink(Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
ClassParameter - Class in org.apache.mahout.common.parameters
ClassParameter(String, String, Configuration, Class<?>, String) - Constructor for class org.apache.mahout.common.parameters.ClassParameter
ClassUtils - Class in org.apache.mahout.common
CLEAN_EIGENVECTORS - Static variable in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob: Deprecated.
cleanup(Mapper<LongWritable, Text, TreeID, MapredOutput>.Context) - Method in class org.apache.mahout.classifier.df.mapreduce.partial.Step1Mapper: Deprecated.
cleanup(Mapper<IntWritable, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.training.ThetaMapper
cleanup(Mapper<IntWritable, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.training.WeightsMapper
cleanup(Mapper<WritableComparable<?>, VectorWritable, IntWritable, ClusterWritable>.Context) - Method in class org.apache.mahout.clustering.iterator.CIMapper
cleanup(Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.lda.cvb.CachingCVB0Mapper
cleanup(Mapper<IntWritable, VectorWritable, DoubleWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.clustering.lda.cvb.CachingCVB0PerplexityMapper
cleanup(Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.lda.cvb.CVB0DocInferenceMapper
cleanup(Mapper<Writable, VectorWritable, IntWritable, CentroidWritable>.Context) - Method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansMapper
cleanup(Mapper<Writable, VectorWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.MatrixColumnMeansJob.MatrixColumnMeansMapper: The column-wise sum is written at the cleanup stage.
cleanup(Mapper<IntWritable, VectorWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.CountObservationsMapper
cleanup(Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.VectorNormMapper
cleanup(Mapper<Writable, VectorWritable, SplitPartitionedWritable, DenseBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.ABtMapper
cleanup(Reducer<SplitPartitionedWritable, DenseBlockWritable, SplitPartitionedWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer
cleanup(Mapper<Writable, VectorWritable, SplitPartitionedWritable, SparseRowBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.ABtMapper
cleanup(Reducer<SplitPartitionedWritable, SparseRowBlockWritable, SplitPartitionedWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer
cleanup(Mapper<Writable, VectorWritable, LongWritable, SparseRowBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.BtMapper
cleanup(Reducer<Writable, SparseRowBlockWritable, Writable, SparseRowBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductCombiner
cleanup(Reducer<LongWritable, SparseRowBlockWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductReducer
cleanup(Mapper<Writable, VectorWritable, SplitPartitionedWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.QJob.QMapper
cleanup() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRFirstStep
cleanup(Mapper<Writable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob.YtYMapper
cleanup(Reducer<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob.YtYReducer
cleanup(Mapper<T, VectorWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesSquaredMapper
clear() - Method in class org.apache.mahout.cf.taste.impl.common.Cache: Clears the cache.
clear() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
clear() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
clear() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
clear(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender: Clears cached recommendations for the given user.
clear() - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender: Clears all cached recommendations.
clear() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockWritable
clear() - Method in class org.apache.mahout.math.neighborhood.BruteSearch
clear() - Method in class org.apache.mahout.math.neighborhood.FastProjectionSearch
clear() - Method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch
clear() - Method in class org.apache.mahout.math.neighborhood.ProjectionSearch
clear() - Method in class org.apache.mahout.math.neighborhood.Searcher
clear() - Method in class org.apache.mahout.math.neighborhood.UpdatableSearcher
clearCacheForItem(long) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity
clearCacheForUser(long) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingUserSimilarity
clearTempPrefs(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel: Clears temporary preferences for a given anonymous user.
clearTempPrefs() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
clone() - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
clone() - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
clone() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
clone() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
clone() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
clone() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
clone() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
clone() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
clone() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
clone() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
clone() - Method in class org.apache.mahout.classifier.df.data.Data: Deprecated.
clone() - Method in class org.apache.mahout.classifier.df.mapreduce.MapredOutput: Deprecated.
clone() - Method in class org.apache.mahout.classifier.df.mapreduce.partial.TreeID: Deprecated.
clone() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel: Get a copy of this model
clone() - Method in class org.apache.mahout.common.IntPairWritable
close() - Method in class org.apache.mahout.cf.taste.impl.similarity.precompute.FileSimilarItemsWriter
close() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader: Deprecated.
close() - Method in interface org.apache.mahout.classifier.OnlineLearner: Prepares the classifier for classification and deallocates any temporary data structures.
close() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
close() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
close() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
close() - Method in class org.apache.mahout.classifier.sgd.GradientMachine
close() - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive
close() - Method in class org.apache.mahout.clustering.classify.ClusterClassifier
close(ClusterClassifier) - Method in class org.apache.mahout.clustering.iterator.AbstractClusteringPolicy
close(ClusterClassifier) - Method in interface org.apache.mahout.clustering.iterator.ClusteringPolicy: Close the policy using the classifier's models
close(ClusterClassifier) - Method in class org.apache.mahout.clustering.iterator.FuzzyKMeansClusteringPolicy
close(ClusterClassifier) - Method in class org.apache.mahout.clustering.iterator.KMeansClusteringPolicy
close() - Method in class org.apache.mahout.common.iterator.FileLineIterator
close() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirIterator
close() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirValueIterator
close() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileIterator
close() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileValueIterator
close() - Method in class org.apache.mahout.ep.EvolutionaryProcess
close() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRFirstStep
close() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRLastStep
close() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockAccumulator
closeables - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductCombiner
closeables - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductReducer
Cluster - Interface in org.apache.mahout.clustering: Implementations of this interface have a printable representation and certain attributes that are common across all clustering implementations
cluster(List<? extends WeightedVector>) - Method in class org.apache.mahout.clustering.streaming.cluster.BallKMeans: Clusters the datapoints in the list doing either random seeding of the centroids or k-means++.
cluster(Matrix) - Method in class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans: Cluster the rows of a matrix, treating them as Centroids with weight 1.
cluster(Iterable<Centroid>) - Method in class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans: Cluster the data points in an Iterable.
cluster(Centroid) - Method in class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans: Cluster one data point.
CLUSTER_FILTER_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
ClusterClassificationConfigKeys - Class in org.apache.mahout.clustering.classify: Constants used in Cluster Classification.
ClusterClassificationDriver - Class in org.apache.mahout.clustering.classify: Classifies the vectors into different clusters found by the clustering algorithm.
ClusterClassificationMapper - Class in org.apache.mahout.clustering.classify: Mapper for classifying vectors into clusters.
ClusterClassificationMapper() - Constructor for class org.apache.mahout.clustering.classify.ClusterClassificationMapper
ClusterClassifier - Class in org.apache.mahout.clustering.classify: This classifier works with any ClusteringPolicy and its associated Clusters.
ClusterClassifier(List<Cluster>, ClusteringPolicy) - Constructor for class org.apache.mahout.clustering.classify.ClusterClassifier: The public constructor accepts a list of clusters to become the models
ClusterClassifier() - Constructor for class org.apache.mahout.clustering.classify.ClusterClassifier
ClusterClassifier(ClusteringPolicy) - Constructor for class org.apache.mahout.clustering.classify.ClusterClassifier
ClusterCountReader - Class in org.apache.mahout.clustering.topdown.postprocessor: Reads the number of clusters produced by the clustering algorithm.
clusterData(Configuration, Path, Path, Path, double, float, boolean, double, boolean) - Static method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver: Run the job using supplied arguments
clusterData(Configuration, Path, Path, Path, double, boolean) - Static method in class org.apache.mahout.clustering.kmeans.KMeansDriver: Run the job using supplied arguments
CLUSTERED_POINTS_DIRECTORY - Static variable in class org.apache.mahout.clustering.topdown.PathDirectory
clusterFilterOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
CLUSTERING_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
clusteringOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator: Returns a default command line option for clustering specification.
ClusteringPolicy - Interface in org.apache.mahout.clustering.iterator: A ClusteringPolicy captures the semantics of assignment of points to clusters
ClusteringPolicyWritable - Class in org.apache.mahout.clustering.iterator
ClusteringPolicyWritable(ClusteringPolicy) - Constructor for class org.apache.mahout.clustering.iterator.ClusteringPolicyWritable
ClusteringPolicyWritable() - Constructor for class org.apache.mahout.clustering.iterator.ClusteringPolicyWritable
ClusteringUtils - Class in org.apache.mahout.clustering
ClusterIterator - Class in org.apache.mahout.clustering.iterator: This is a clustering iterator which works with a set of Vector data and a prior ClusterClassifier which has been initialized with a set of models.
ClusterOutputPostProcessor - Class in org.apache.mahout.clustering.topdown.postprocessor: This class reads the output of any clustering algorithm, and, creates separate directories for different clusters.
ClusterOutputPostProcessor(Path, Path, Configuration) - Constructor for class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessor
ClusterOutputPostProcessorDriver - Class in org.apache.mahout.clustering.topdown.postprocessor: Post processes the output of clustering algorithms and groups them into respective clusters.
ClusterOutputPostProcessorDriver() - Constructor for class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessorDriver
ClusterOutputPostProcessorMapper - Class in org.apache.mahout.clustering.topdown.postprocessor: Mapper for post processing cluster output.
ClusterOutputPostProcessorMapper() - Constructor for class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessorMapper
ClusterOutputPostProcessorReducer - Class in org.apache.mahout.clustering.topdown.postprocessor: Reducer for post processing cluster output.
ClusterOutputPostProcessorReducer() - Constructor for class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessorReducer
CLUSTERS_DIR - Static variable in interface org.apache.mahout.clustering.Cluster
CLUSTERS_IN - Static variable in class org.apache.mahout.clustering.classify.ClusterClassificationConfigKeys
CLUSTERS_IN_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
clustersInOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator: Returns a default command line option for clusters input directory specification.
ClusterWritable - Class in org.apache.mahout.clustering.iterator
ClusterWritable(Cluster) - Constructor for class org.apache.mahout.clustering.iterator.ClusterWritable
ClusterWritable() - Constructor for class org.apache.mahout.clustering.iterator.ClusterWritable
CMapper() - Constructor for class org.apache.mahout.classifier.df.mapreduce.Classifier.CMapper: Deprecated.
collect(Writable, Vector) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRFirstStep
collect(Long, Vector) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockAccumulator
CollocCombiner - Class in org.apache.mahout.vectorizer.collocations.llr: Combiner for pass1 of the CollocationDriver.
CollocCombiner() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.CollocCombiner
CollocDriver - Class in org.apache.mahout.vectorizer.collocations.llr: Driver for LLR Collocation discovery mapreduce job
CollocDriver() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.CollocDriver
CollocMapper - Class in org.apache.mahout.vectorizer.collocations.llr: Pass 1 of the Collocation discovery job which generated ngrams and emits ngrams an their component n-1grams.
CollocMapper() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.CollocMapper
CollocMapper.Count - Enum in org.apache.mahout.vectorizer.collocations.llr
CollocReducer - Class in org.apache.mahout.vectorizer.collocations.llr: Reducer for Pass 1 of the collocation identification job.
CollocReducer() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.CollocReducer
CollocReducer.Skipped - Enum in org.apache.mahout.vectorizer.collocations.llr
columnMeans() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
columnMeans(String) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix: Returns the column-wise mean of a DistributedRowMatrix
CommandLineUtil - Class in org.apache.mahout.common
Comparator() - Constructor for class org.apache.mahout.common.IntPairWritable.Comparator
compare(RecommendedItem, RecommendedItem) - Method in class org.apache.mahout.cf.taste.impl.recommender.ByValueRecommendedItemComparator
compare(byte[], int, int, byte[], int, int) - Method in class org.apache.mahout.common.IntPairWritable.Comparator
compare(byte[], int, int, byte[], int, int) - Method in class org.apache.mahout.common.IntPairWritable.FirstGroupingComparator
compare(Object, Object) - Method in class org.apache.mahout.common.IntPairWritable.FirstGroupingComparator
compare(Object, Object) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable.SplitGroupingComparator
COMPARE_BY_SIMILARITY - Static variable in class org.apache.mahout.cf.taste.similarity.precompute.SimilarItem
compareTo(EntityEntityWritable) - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
compareTo(SimilarUser) - Method in class org.apache.mahout.cf.taste.impl.recommender.SimilarUser: Defines an ordering from most similar to least similar.
compareTo(GenericItemSimilarity.ItemItemSimilarity) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity: Defines an ordering from highest similarity to lowest.
compareTo(GenericUserSimilarity.UserUserSimilarity) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity: Defines an ordering from highest similarity to lowest.
compareTo(ModelDissector.Weight) - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight
compareTo(IntegerTuple) - Method in class org.apache.mahout.common.IntegerTuple
compareTo(BinaryComparable) - Method in class org.apache.mahout.common.IntPairWritable
compareTo(IntPairWritable.Frequency) - Method in class org.apache.mahout.common.IntPairWritable.Frequency
compareTo(LongPair) - Method in class org.apache.mahout.common.LongPair
compareTo(Pair<A, B>) - Method in class org.apache.mahout.common.Pair: Defines an ordering on pairs that sorts by first value's natural ordering, ascending, and then by second value's natural ordering.
compareTo(StringTuple) - Method in class org.apache.mahout.common.StringTuple
compareTo(State<T, U>) - Method in class org.apache.mahout.ep.State: Natural order is to sort in descending order of score.
compareTo(DistributedRowMatrix.MatrixEntryWritable) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
compareTo(SplitPartitionedWritable) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable
COMPLEMENTARY - Static variable in class org.apache.mahout.classifier.naivebayes.test.TestNaiveBayesDriver
COMPLEMENTARY_MODEL - Static variable in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
ComplementaryNaiveBayesClassifier - Class in org.apache.mahout.classifier.naivebayes: Implementation of the Naive Bayes Classifier Algorithm
ComplementaryNaiveBayesClassifier(NaiveBayesModel) - Constructor for class org.apache.mahout.classifier.naivebayes.ComplementaryNaiveBayesClassifier
ComplementaryThetaTrainer - Class in org.apache.mahout.classifier.naivebayes.training
ComplementaryThetaTrainer(Vector, Vector, double) - Constructor for class org.apache.mahout.classifier.naivebayes.training.ComplementaryThetaTrainer
compute() - Method in interface org.apache.mahout.clustering.GaussianAccumulator: Compute the mean, variance and standard deviation
compute() - Method in class org.apache.mahout.clustering.OnlineGaussianAccumulator
compute() - Method in class org.apache.mahout.clustering.RunningSumsGaussianAccumulator
computeCentroid() - Method in class org.apache.mahout.clustering.AbstractCluster: Compute the centroid by averaging the pointTotals
computeConvergence(DistanceMeasure, double) - Method in class org.apache.mahout.clustering.kmeans.Kluster: Return if the cluster is converged by comparing its center and centroid.
computeFinalEvaluation() - Method in class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator
computeFinalEvaluation() - Method in class org.apache.mahout.cf.taste.impl.eval.AverageAbsoluteDifferenceRecommenderEvaluator
computeFinalEvaluation() - Method in class org.apache.mahout.cf.taste.impl.eval.RMSRecommenderEvaluator
computeHash64(Vector, Matrix) - Static method in class org.apache.mahout.math.neighborhood.HashedVector
computeItemSimilarities(int, int, SimilarItemsWriter) - Method in class org.apache.mahout.cf.taste.impl.similarity.precompute.MultithreadedBatchItemSimilarities
computeItemSimilarities(int, int, SimilarItemsWriter) - Method in class org.apache.mahout.cf.taste.similarity.precompute.BatchItemSimilarities
computeMean() - Method in class org.apache.mahout.math.hadoop.stats.VarianceTotals
computeNext() - Method in class org.apache.mahout.common.iterator.CountingIterator
computeNext() - Method in class org.apache.mahout.common.iterator.FileLineIterator
computeNext() - Method in class org.apache.mahout.common.iterator.SamplingIterator
computeNext() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileIterator
computeNext() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileValueIterator
computeNext() - Method in class org.apache.mahout.common.lucene.TokenStreamIterator
computeParameters() - Method in class org.apache.mahout.clustering.AbstractCluster
computeParameters() - Method in interface org.apache.mahout.clustering.Model: Compute a new set of posterior parameters based upon the Observations that have been observed since my creation
computePi(Collection<SoftCluster>, List<Double>) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
computeProbWeight(double, Iterable<Double>) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer: Computes the probability of a point belonging to a cluster
computeQtHat(double[][], int, Iterator<UpperTriangular>) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
computeSplit(Data, int) - Method in class org.apache.mahout.classifier.df.split.DefaultIgSplit: Deprecated.
computeSplit(Data, int) - Method in class org.apache.mahout.classifier.df.split.IgSplit: Deprecated.

Computes the best split for the given attribute
computeSplit(Data, int) - Method in class org.apache.mahout.classifier.df.split.OptIgSplit: Deprecated.
computeSplit(Data, int) - Method in class org.apache.mahout.classifier.df.split.RegressionSplit: Deprecated.
computeU(Iterable<File>, File) - Method in class org.apache.mahout.math.ssvd.SequentialOutOfCoreSvd
computeV(File, int) - Method in class org.apache.mahout.math.ssvd.SequentialOutOfCoreSvd
computeVariance() - Method in class org.apache.mahout.math.hadoop.stats.VarianceTotals
computeVarianceForGivenMean(double) - Method in class org.apache.mahout.math.hadoop.stats.VarianceTotals
computeWeight(double, double, double, double, double, double) - Static method in class org.apache.mahout.classifier.naivebayes.ComplementaryNaiveBayesClassifier
computeWeight(double, double, double, double) - Static method in class org.apache.mahout.classifier.naivebayes.StandardNaiveBayesClassifier
computeYRow(Vector, double[]) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.Omega: Deprecated.
computeYRow(Vector, Vector) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.Omega: A version to compute yRow as a sparse vector in case of extremely sparse matrices
ConcreteLLCallback() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.LLRReducer.ConcreteLLCallback
Condition - Class in org.apache.mahout.classifier.df.data.conditions: Deprecated.
Condition() - Constructor for class org.apache.mahout.classifier.df.data.conditions.Condition: Deprecated.
conf(Parametered) - Static method in class org.apache.mahout.common.parameters.Parametered.ParameteredGeneralizations
configure(boolean, TreeBuilder, Dataset) - Method in class org.apache.mahout.classifier.df.mapreduce.MapredMapper: Deprecated.

Useful for testing
configure(Long, int, int, int) - Method in class org.apache.mahout.classifier.df.mapreduce.partial.Step1Mapper: Deprecated.

Useful when testing
configure(Configuration) - Method in class org.apache.mahout.clustering.AbstractCluster
configure(Configuration) - Method in class org.apache.mahout.clustering.iterator.DistanceMeasureCluster
configure(Configuration) - Method in class org.apache.mahout.common.distance.ChebyshevDistanceMeasure
configure(Configuration) - Method in class org.apache.mahout.common.distance.CosineDistanceMeasure
configure(Configuration) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
configure(Configuration) - Method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure
configure(Configuration) - Method in class org.apache.mahout.common.distance.MinkowskiDistanceMeasure
configure(Configuration) - Method in class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure
configure(Configuration) - Method in class org.apache.mahout.common.distance.WeightedDistanceMeasure
configure(Configuration) - Method in class org.apache.mahout.common.parameters.AbstractParameter
configure(Configuration) - Method in interface org.apache.mahout.common.parameters.Parametered
configure(JobConf) - Method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob.MatrixMultiplyMapper
configureCanopyClusterer(Configuration) - Static method in class org.apache.mahout.clustering.canopy.CanopyConfigKeys: Deprecated.

Create a CanopyClusterer from the Hadoop configuration.
configureJob(Job) - Method in class org.apache.mahout.classifier.df.mapreduce.Builder: Deprecated.

Used by the inheriting classes to configure the job
configureJob(Job) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemBuilder: Deprecated.
configureJob(Job) - Method in class org.apache.mahout.classifier.df.mapreduce.partial.PartialBuilder: Deprecated.
configureOptionsForWorkers(Configuration, int, int, float, int, float, boolean, boolean, float, int, String, String, int, int, String, boolean) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver: Checks the parameters for a StreamingKMeans job and prepares a Configuration with them.
configureParameters(Parametered, Configuration) - Static method in class org.apache.mahout.common.parameters.Parametered.ParameteredGeneralizations
configureParameters(String, Parametered, Configuration) - Static method in class org.apache.mahout.common.parameters.Parametered.ParameteredGeneralizations: Calls Parametered.createParameters(String,org.apache.hadoop.conf.Configuration) on parameter parmetered, and then recur down its composite tree to invoke Parametered.createParameters(String,org.apache.hadoop.conf.Configuration) and Parametered.configure(org.apache.hadoop.conf.Configuration) on each composite part.
confusion() - Method in class org.apache.mahout.classifier.evaluation.Auc: Returns the confusion matrix for the classifier supposing that we were to use a particular threshold.
ConfusionMatrix - Class in org.apache.mahout.classifier: The ConfusionMatrix Class stores the result of Classification of a Test Dataset.
ConfusionMatrix(Collection<String>, String) - Constructor for class org.apache.mahout.classifier.ConfusionMatrix
ConfusionMatrix(Matrix) - Constructor for class org.apache.mahout.classifier.ConfusionMatrix
consider(int, int, double, double, double) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CooccurrenceCountSimilarity
consider(int, int, double, double, double) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CosineSimilarity
consider(int, int, double, double, double) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CountbasedMeasure
consider(int, int, double, double, double) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.EuclideanDistanceSimilarity
consider(int, int, double, double, double) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.TanimotoCoefficientSimilarity
consider(int, int, double, double, double) - Method in interface org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.VectorSimilarityMeasure
ConstantValueEncoder - Class in org.apache.mahout.vectorizer.encoders: An encoder that does the standard thing for a virtual bias term.
ConstantValueEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.ConstantValueEncoder
contains(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
contains(Instance) - Method in class org.apache.mahout.classifier.df.data.Data: Deprecated.
containsKey(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
containsKey(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
containsValue(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
containsValue(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
CONTINUOUS_VALUE_HASH_SEED - Static variable in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
ContinuousValueEncoder - Class in org.apache.mahout.vectorizer.encoders: Continuous values are stored in fixed randomized location in the feature vector.
ContinuousValueEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.ContinuousValueEncoder
CONVERGENCE_DELTA_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
convergenceOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator: Returns a default command line option for convergence delta specification.
convert(CharSequence) - Method in class org.apache.mahout.classifier.df.data.DataConverter: Deprecated.
CooccurrenceCountSimilarity - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence.measures
CooccurrenceCountSimilarity() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CooccurrenceCountSimilarity
CooccurrencesMapper() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.CooccurrencesMapper
copy() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
copy() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
copy() - Method in class org.apache.mahout.classifier.sgd.GradientMachine
copy() - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
copy() - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive
copy() - Method in interface org.apache.mahout.ep.Payload
copy() - Method in class org.apache.mahout.ep.State: Deep copies a state, useful in mutation.
CopyConstructorIterator<T> - Class in org.apache.mahout.common.iterator: An iterator that copies the values in an underlying iterator by finding an appropriate copy constructor.
CopyConstructorIterator(Iterator<? extends T>) - Constructor for class org.apache.mahout.common.iterator.CopyConstructorIterator
copyFrom(AbstractOnlineLogisticRegression) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
copyFrom(GradientMachine) - Method in class org.apache.mahout.classifier.sgd.GradientMachine
copyFrom(OnlineLogisticRegression) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
copyFrom(PassiveAggressive) - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive
CosineDistanceMeasure - Class in org.apache.mahout.common.distance: This class implements a cosine distance metric by dividing the dot product of two vectors by the product of their lengths.
CosineDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.CosineDistanceMeasure
CosineSimilarity - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence.measures
CosineSimilarity() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CosineSimilarity
CountbasedMeasure - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence.measures
CountbasedMeasure() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CountbasedMeasure
CountingIterator - Class in org.apache.mahout.common.iterator: Iterates over the integers from 0 through to-1.
CountingIterator(int) - Constructor for class org.apache.mahout.common.iterator.CountingIterator
countLabels(int[]) - Method in class org.apache.mahout.classifier.df.data.Data: Deprecated.

Counts the number of occurrences of each label value
This method can be used when the criterion variable is the categorical attribute.
CountObservationsMapper() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.CountObservationsMapper
countRecords(Path, Configuration) - Static method in class org.apache.mahout.common.HadoopUtil
countRecords(Path, PathType, PathFilter, Configuration) - Static method in class org.apache.mahout.common.HadoopUtil: Count all the records in a directory using a SequenceFileDirValueIterator
createAnalyzer(String) - Static method in class org.apache.mahout.common.lucene.AnalyzerUtils: Create an Analyzer using the latest Version.
createAnalyzer(String, Version) - Static method in class org.apache.mahout.common.lucene.AnalyzerUtils
createAnalyzer(Class<? extends Analyzer>) - Static method in class org.apache.mahout.common.lucene.AnalyzerUtils: Create an Analyzer using the latest Version.
createAnalyzer(Class<? extends Analyzer>, Version) - Static method in class org.apache.mahout.common.lucene.AnalyzerUtils
createCanopies(List<Vector>, DistanceMeasure, double, double) - Static method in class org.apache.mahout.clustering.canopy.CanopyClusterer: Deprecated.

Iterate through the points, adding new canopies.
createFactorization(double[][], double[][]) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.AbstractFactorizer
createMatrixMultiplyJobConf(Path, Path, Path, int) - Static method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob
createMatrixMultiplyJobConf(Configuration, Path, Path, Path, int) - Static method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob
createParameters(String, Configuration) - Method in class org.apache.mahout.clustering.AbstractCluster
createParameters(String, Configuration) - Method in class org.apache.mahout.common.distance.ChebyshevDistanceMeasure
createParameters(String, Configuration) - Method in class org.apache.mahout.common.distance.CosineDistanceMeasure
createParameters(String, Configuration) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
createParameters(String, Configuration) - Method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure
createParameters(String, Configuration) - Method in class org.apache.mahout.common.distance.MinkowskiDistanceMeasure
createParameters(String, Configuration) - Method in class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure
createParameters(String, Configuration) - Method in class org.apache.mahout.common.distance.WeightedDistanceMeasure
createParameters(String, Configuration) - Method in class org.apache.mahout.common.parameters.AbstractParameter
createParameters(String, Configuration) - Method in interface org.apache.mahout.common.parameters.Parametered: EXPERT: consumers should never have to call this method.
createQueue() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ALSWRFactorizer
createRecordReader(InputSplit, TaskAttemptContext) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat: Deprecated.
createScoringVector() - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
createTermFrequencyVectors(Path, Path, String, Configuration, int, int, float, float, boolean, int, int, boolean, boolean) - Static method in class org.apache.mahout.vectorizer.DictionaryVectorizer: Create Term Frequency (Tf) Vectors from the input set of documents in SequenceFile format.
createTimesJob(Vector, int, Path, Path) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
createTimesJob(Configuration, Vector, int, Path, Path) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
createTimesSquaredJob(Vector, Path, Path) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
createTimesSquaredJob(Configuration, Vector, Path, Path) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
createTimesSquaredJob(Vector, Path, Path, Class<? extends TimesSquaredJob.TimesSquaredMapper>, Class<? extends TimesSquaredJob.VectorSummingReducer>) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
createTimesSquaredJob(Configuration, Vector, Path, Path, Class<? extends TimesSquaredJob.TimesSquaredMapper>, Class<? extends TimesSquaredJob.VectorSummingReducer>) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
createTimesSquaredJob(Vector, int, Path, Path, Class<? extends TimesSquaredJob.TimesSquaredMapper>, Class<? extends TimesSquaredJob.VectorSummingReducer>) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
createTimesSquaredJob(Configuration, Vector, int, Path, Path, Class<? extends TimesSquaredJob.TimesSquaredMapper>, Class<? extends TimesSquaredJob.VectorSummingReducer>) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
createVectors(Path, Path, VectorizerConfig) - Method in class org.apache.mahout.vectorizer.DictionaryVectorizer
createVectors(Path, Path, VectorizerConfig) - Method in class org.apache.mahout.vectorizer.SimpleTextEncodingVectorizer
createVectors(Path, Path, VectorizerConfig) - Method in interface org.apache.mahout.vectorizer.Vectorizer
CrossFoldLearner - Class in org.apache.mahout.classifier.sgd: Does cross-fold validation of log-likelihood and AUC on several online logistic regression models.
CrossFoldLearner() - Constructor for class org.apache.mahout.classifier.sgd.CrossFoldLearner
CrossFoldLearner(int, int, int, PriorFunction) - Constructor for class org.apache.mahout.classifier.sgd.CrossFoldLearner
CsvRecordFactory - Class in org.apache.mahout.classifier.sgd: Converts CSV data lines to vectors.
CsvRecordFactory(String, Map<String, String>) - Constructor for class org.apache.mahout.classifier.sgd.CsvRecordFactory: Construct a parser for CSV lines that encodes the parsed data in vector form.
CsvRecordFactory(String, String, Map<String, String>) - Constructor for class org.apache.mahout.classifier.sgd.CsvRecordFactory
currentLearningRate() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
currentLearningRate() - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
CVB0DocInferenceMapper - Class in org.apache.mahout.clustering.lda.cvb
CVB0DocInferenceMapper() - Constructor for class org.apache.mahout.clustering.lda.cvb.CVB0DocInferenceMapper
CVB0Driver - Class in org.apache.mahout.clustering.lda.cvb: See CachingCVB0Mapper for more details on scalability and room for improvement.
CVB0Driver() - Constructor for class org.apache.mahout.clustering.lda.cvb.CVB0Driver
CVB0Driver.DualDoubleSumReducer - Class in org.apache.mahout.clustering.lda.cvb: Sums keys and values independently.
CVB0TopicTermVectorNormalizerMapper - Class in org.apache.mahout.clustering.lda.cvb: Performs L1 normalization of input vectors.
CVB0TopicTermVectorNormalizerMapper() - Constructor for class org.apache.mahout.clustering.lda.cvb.CVB0TopicTermVectorNormalizerMapper

D

Data - Class in org.apache.mahout.classifier.df.data: Deprecated.
Data(Dataset) - Constructor for class org.apache.mahout.classifier.df.data.Data: Deprecated.
Data(Dataset, List<Instance>) - Constructor for class org.apache.mahout.classifier.df.data.Data: Deprecated.
DataConverter - Class in org.apache.mahout.classifier.df.data: Deprecated.
DataConverter(Dataset) - Constructor for class org.apache.mahout.classifier.df.data.DataConverter: Deprecated.
DataLoader - Class in org.apache.mahout.classifier.df.data: Deprecated.
dataModel - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
DataModel - Interface in org.apache.mahout.cf.taste.model: Implementations represent a repository of information about users and their associated Preferences for items.
DataModelBuilder - Interface in org.apache.mahout.cf.taste.eval: Implementations of this inner interface are simple helper classes which create a DataModel to be used while evaluating a Recommender.
Dataset - Class in org.apache.mahout.classifier.df.data: Deprecated.
Dataset() - Constructor for class org.apache.mahout.classifier.df.data.Dataset: Deprecated.
Dataset.Attribute - Enum in org.apache.mahout.classifier.df.data: Deprecated.

Attributes type
DatasetSplitter - Class in org.apache.mahout.cf.taste.hadoop.als: Split a recommendation dataset into a training and a test set
DatasetSplitter() - Constructor for class org.apache.mahout.cf.taste.hadoop.als.DatasetSplitter
DataUtils - Class in org.apache.mahout.classifier.df.data: Deprecated.
daviesBouldinIndex(List<? extends Vector>, DistanceMeasure, List<OnlineSummarizer>) - Static method in class org.apache.mahout.clustering.ClusteringUtils: Computes the Davies-Bouldin Index for a given clustering.
dec(int[], int[]) - Static method in class org.apache.mahout.classifier.df.data.DataUtils: Deprecated.

foreach i : array1[i] -= array2[i]
decayExponent(double) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
decayExponent(double) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
DecisionForest - Class in org.apache.mahout.classifier.df: Deprecated.
DecisionForest(List<Node>) - Constructor for class org.apache.mahout.classifier.df.DecisionForest: Deprecated.
DecisionTreeBuilder - Class in org.apache.mahout.classifier.df.builder: Deprecated.
DecisionTreeBuilder() - Constructor for class org.apache.mahout.classifier.df.builder.DecisionTreeBuilder: Deprecated.
decode(HmmModel, int[], boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmEvaluator: Returns the most likely sequence of hidden states for the given model and observation
decodeStateSequence(HmmModel, int[], boolean, String) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils: Decodes a given collection of state IDs into the corresponding state names registered in a given model.
decodeType(byte[], int) - Static method in class org.apache.mahout.vectorizer.collocations.llr.Gram
DEFAULT_CLUSTERED_POINTS_DIRECTORY - Static variable in class org.apache.mahout.clustering.canopy.CanopyDriver: Deprecated.
DEFAULT_DATASOURCE_NAME - Static variable in class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent
DEFAULT_EMIT_UNIGRAMS - Static variable in class org.apache.mahout.vectorizer.collocations.llr.CollocDriver
DEFAULT_FACTOR - Static variable in class org.apache.mahout.cf.taste.impl.recommender.SamplingCandidateItemsStrategy: Default factor used if not otherwise specified, for all limits.
DEFAULT_LONG_ID_COLUMN - Static variable in class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator
DEFAULT_MAPPING_TABLE - Static variable in class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator
DEFAULT_MIN_LLR - Static variable in class org.apache.mahout.vectorizer.collocations.llr.LLRReducer
DEFAULT_MIN_RELOAD_INTERVAL_MS - Static variable in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
DEFAULT_MIN_RELOAD_INTERVAL_MS - Static variable in class org.apache.mahout.cf.taste.impl.model.file.FileIDMigrator
DEFAULT_MIN_RELOAD_INTERVAL_MS - Static variable in class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity
DEFAULT_MIN_SUPPORT - Static variable in class org.apache.mahout.vectorizer.collocations.llr.CollocReducer
DEFAULT_MIN_SUPPORT - Static variable in class org.apache.mahout.vectorizer.DictionaryVectorizer
DEFAULT_POOL_SIZE - Static variable in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
DEFAULT_PREPARE_PATH - Static variable in class org.apache.mahout.cf.taste.hadoop.item.RecommenderJob
DEFAULT_STRING_ID_COLUMN - Static variable in class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator
DEFAULT_THREAD_COUNT - Static variable in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
DefaultGradient - Class in org.apache.mahout.classifier.sgd: Implements the basic logistic training law.
DefaultGradient() - Constructor for class org.apache.mahout.classifier.sgd.DefaultGradient
DefaultIgSplit - Class in org.apache.mahout.classifier.df.split: Deprecated.
DefaultIgSplit() - Constructor for class org.apache.mahout.classifier.df.split.DefaultIgSplit: Deprecated.
DefaultOptionCreator - Class in org.apache.mahout.common.commandline
DefaultTreeBuilder - Class in org.apache.mahout.classifier.df.builder: Deprecated.
DefaultTreeBuilder() - Constructor for class org.apache.mahout.classifier.df.builder.DefaultTreeBuilder: Deprecated.
defaultValue() - Method in class org.apache.mahout.common.parameters.AbstractParameter
defaultValue() - Method in interface org.apache.mahout.common.parameters.Parameter
defineTargetCategories(List<String>) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory: Defines the values and thus the encoding of values of the target variables.
defineTargetCategories(List<String>) - Method in interface org.apache.mahout.classifier.sgd.RecordFactory
delegate() - Method in class org.apache.mahout.cf.taste.impl.common.jdbc.ResultSetIterator
delegate() - Method in class org.apache.mahout.common.iterator.CopyConstructorIterator
delegate() - Method in class org.apache.mahout.common.iterator.FixedSizeSamplingIterator
delegate() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirIterator
delegate() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirValueIterator
delegate() - Method in class org.apache.mahout.common.iterator.StableFixedSizeSamplingIterator
delegate() - Method in class org.apache.mahout.common.iterator.StringRecordIterator
delete(Configuration, Iterable<Path>) - Static method in class org.apache.mahout.common.HadoopUtil
delete(Configuration, Path...) - Static method in class org.apache.mahout.common.HadoopUtil
DenseBlockWritable - Class in org.apache.mahout.math.hadoop.stochasticsvd: Ad-hoc substitution for MatrixWritable.
DenseBlockWritable() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.DenseBlockWritable
Describe - Class in org.apache.mahout.classifier.df.tools: Generates a file descriptor for a given dataset
description() - Method in class org.apache.mahout.common.parameters.AbstractParameter
description() - Method in interface org.apache.mahout.common.parameters.Parameter
DescriptorException - Exception in org.apache.mahout.classifier.df.data: Deprecated.
DescriptorException(String) - Constructor for exception org.apache.mahout.classifier.df.data.DescriptorException: Deprecated.
DescriptorUtils - Class in org.apache.mahout.classifier.df.data: Deprecated.
determineDelimiter(String) - Static method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
DFUtils - Class in org.apache.mahout.classifier.df: Deprecated.
DIAGONAL_CACHE_INDEX - Static variable in class org.apache.mahout.clustering.spectral.Keys: Sets the SequenceFile index for the diagonal matrix.
DICTIONARY - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
Dictionary - Class in org.apache.mahout.vectorizer.encoders: Assigns integer codes to strings as they appear.
Dictionary() - Constructor for class org.apache.mahout.vectorizer.encoders.Dictionary
DICTIONARY_FILE - Static variable in class org.apache.mahout.vectorizer.DictionaryVectorizer
DictionaryVectorizer - Class in org.apache.mahout.vectorizer: This class converts a set of input documents in the sequence file format to vectors.
DIMENSION - Static variable in class org.apache.mahout.vectorizer.common.PartialVectorMerger
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.ChebyshevDistanceMeasure
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.ChebyshevDistanceMeasure
distance(double[], double[]) - Static method in class org.apache.mahout.common.distance.CosineDistanceMeasure
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.CosineDistanceMeasure
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.CosineDistanceMeasure
distance(Vector, Vector) - Method in interface org.apache.mahout.common.distance.DistanceMeasure: Returns the distance metric applied to the arguments
distance(double, Vector, Vector) - Method in interface org.apache.mahout.common.distance.DistanceMeasure: Optimized version of distance metric for sparse vectors.
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.EuclideanDistanceMeasure
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.EuclideanDistanceMeasure
distance(Vector) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
distance(double[], double[]) - Static method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.MinkowskiDistanceMeasure: Math.pow is clever about integer-valued doubles
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.MinkowskiDistanceMeasure
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.TanimotoDistanceMeasure: Calculates the distance between two vectors.
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.TanimotoDistanceMeasure
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.WeightedEuclideanDistanceMeasure
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.WeightedEuclideanDistanceMeasure
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.WeightedManhattanDistanceMeasure
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.WeightedManhattanDistanceMeasure
DISTANCE_MEASURE_KEY - Static variable in class org.apache.mahout.clustering.canopy.CanopyConfigKeys: Deprecated.
DISTANCE_MEASURE_KEY - Static variable in class org.apache.mahout.math.hadoop.similarity.VectorDistanceSimilarityJob
DISTANCE_MEASURE_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
DistanceMeasure - Interface in org.apache.mahout.common.distance: This interface is used for objects which can determine a distance metric between two points
distanceMeasure - Variable in class org.apache.mahout.math.neighborhood.Searcher
DistanceMeasureCluster - Class in org.apache.mahout.clustering.iterator
DistanceMeasureCluster(Vector, int, DistanceMeasure) - Constructor for class org.apache.mahout.clustering.iterator.DistanceMeasureCluster
DistanceMeasureCluster() - Constructor for class org.apache.mahout.clustering.iterator.DistanceMeasureCluster
distanceMeasureOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator: Returns a default command line option for specification of distance measure class to use.
DistributedConjugateGradientSolver - Class in org.apache.mahout.math.hadoop.solver: Distributed implementation of the conjugate gradient solver.
DistributedConjugateGradientSolver() - Constructor for class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver
DistributedConjugateGradientSolver.DistributedConjugateGradientSolverJob - Class in org.apache.mahout.math.hadoop.solver
DistributedConjugateGradientSolverJob() - Constructor for class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver.DistributedConjugateGradientSolverJob
DistributedLanczosSolver - Class in org.apache.mahout.math.hadoop.decomposer: Deprecated.
DistributedLanczosSolver() - Constructor for class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver: Deprecated.
DistributedLanczosSolver.DistributedLanczosSolverJob - Class in org.apache.mahout.math.hadoop.decomposer: Deprecated.

Inner subclass of AbstractJob so we get access to AbstractJob's functionality w.r.t.
DistributedLanczosSolverJob() - Constructor for class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver.DistributedLanczosSolverJob: Deprecated.
DistributedRowMatrix - Class in org.apache.mahout.math.hadoop: DistributedRowMatrix is a FileSystem-backed VectorIterable in which the vectors live in a SequenceFile, and distributed operations are executed as M/R passes on Hadoop.
DistributedRowMatrix(Path, Path, int, int) - Constructor for class org.apache.mahout.math.hadoop.DistributedRowMatrix
DistributedRowMatrix(Path, Path, int, int, boolean) - Constructor for class org.apache.mahout.math.hadoop.DistributedRowMatrix
DistributedRowMatrix.MatrixEntryWritable - Class in org.apache.mahout.math.hadoop
DistributedRowMatrixWriter - Class in org.apache.mahout.math
DOC_TOPIC_OUTPUT - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
DOC_TOPIC_SMOOTHING - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
DOCUMENT_VECTOR_OUTPUT_FOLDER - Static variable in class org.apache.mahout.vectorizer.DictionaryVectorizer
DocumentProcessor - Class in org.apache.mahout.vectorizer: This class converts a set of input documents in the sequence file format of StringTuples.The SequenceFile input should have a Text key containing the unique document identifier and a Text value containing the whole document.
doEstimatePreference(long, PreferenceArray, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefItemBasedRecommender: This computation is in a technical sense, wrong, since in the domain of "boolean preference users" where all preference values are 1, this method should only ever return 1.0 or NaN.
doEstimatePreference(long, long[], long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefUserBasedRecommender: This computation is in a technical sense, wrong, since in the domain of "boolean preference users" where all preference values are 1, this method should only ever return 1.0 or NaN.
doEstimatePreference(long, PreferenceArray, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
doEstimatePreference(long, long[], long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
doGetCandidateItems(long[], DataModel) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractCandidateItemsStrategy
doGetCandidateItems(long[], DataModel, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractCandidateItemsStrategy
doGetCandidateItems(long[], DataModel, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.AllSimilarItemsCandidateItemsStrategy
doGetCandidateItems(long[], DataModel, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.AllUnknownItemsCandidateItemsStrategy: return all items the user has not yet seen
doGetCandidateItems(long[], DataModel, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.PreferredItemsNeighborhoodCandidateItemsStrategy: returns all items that have not been rated by the user and that were preferred by another user that has preferred at least one item that the current user has preferred too
doGetCandidateItems(long[], DataModel, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.SamplingCandidateItemsStrategy
DoubleParameter - Class in org.apache.mahout.common.parameters
DoubleParameter(String, String, Configuration, double, String) - Constructor for class org.apache.mahout.common.parameters.DoubleParameter
drmIterator(FileSystem, Path, Configuration, Deque<Closeable>) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDHelper
drmLoadAsDense(FileSystem, Path, Configuration) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDHelper: helper capabiltiy to load distributed row matrices into dense matrix (to support tests mainly).
DualDoubleSumReducer() - Constructor for class org.apache.mahout.clustering.lda.cvb.CVB0Driver.DualDoubleSumReducer
dunnIndex(List<? extends Vector>, DistanceMeasure, List<OnlineSummarizer>) - Static method in class org.apache.mahout.clustering.ClusteringUtils: Computes the Dunn Index of a given clustering.

E

EigenSeedGenerator - Class in org.apache.mahout.clustering.spectral.kmeans: Given an Input Path containing a SequenceFile, select k vectors and write them to the output file as a Kluster representing the initial centroid to use.
EigenVector - Class in org.apache.mahout.math.hadoop.decomposer: TODO this is a horrible hack.
EigenVector(Vector, double, double, int) - Constructor for class org.apache.mahout.math.hadoop.decomposer.EigenVector
EigenVerificationJob - Class in org.apache.mahout.math.hadoop.decomposer: Deprecated.
EigenVerificationJob() - Constructor for class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob: Deprecated.
elapsedTime(long) - Static method in class org.apache.mahout.classifier.df.DFUtils: Deprecated.

Formats a time interval in milliseconds to a String in the form "hours:minutes:seconds:millis"
ElasticBandPrior - Class in org.apache.mahout.classifier.sgd: Implements a linear combination of L1 and L2 priors.
ElasticBandPrior() - Constructor for class org.apache.mahout.classifier.sgd.ElasticBandPrior
ElasticBandPrior(double) - Constructor for class org.apache.mahout.classifier.sgd.ElasticBandPrior
EMIT_MOST_LIKELY - Static variable in class org.apache.mahout.clustering.classify.ClusterClassificationConfigKeys
EMIT_MOST_LIKELY_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
EMIT_UNIGRAMS - Static variable in class org.apache.mahout.vectorizer.collocations.llr.CollocDriver
emitMostLikelyOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator: Returns a default command line option for specifying the emitMostLikely flag.
EncodedVectorsFromSequenceFiles - Class in org.apache.mahout.vectorizer: Converts a given set of sequence files into SparseVectors
EncodedVectorsFromSequenceFiles() - Constructor for class org.apache.mahout.vectorizer.EncodedVectorsFromSequenceFiles
ENCODER_CLASS - Static variable in class org.apache.mahout.vectorizer.EncodingMapper
ENCODER_FIELD_NAME - Static variable in class org.apache.mahout.vectorizer.EncodingMapper
encodeStateSequence(HmmModel, Collection<String>, boolean, int) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils: Encodes a given collection of state names by the corresponding state IDs registered in a given model.
encodeType(Gram.Type, byte[], int) - Static method in class org.apache.mahout.vectorizer.collocations.llr.Gram
EncodingMapper - Class in org.apache.mahout.vectorizer: The Mapper that does the work of encoding text
EncodingMapper() - Constructor for class org.apache.mahout.vectorizer.EncodingMapper
end() - Method in class org.apache.mahout.common.TimingStatistics.Call
end(long) - Method in class org.apache.mahout.common.TimingStatistics.Call: Returns true if the sumTime as reached this limit;
end() - Method in class org.apache.mahout.common.TimingStatistics.LeadTimeCall
end(long) - Method in class org.apache.mahout.common.TimingStatistics.LeadTimeCall
EntityEntityWritable - Class in org.apache.mahout.cf.taste.hadoop: A WritableComparable encapsulating two items.
EntityEntityWritable() - Constructor for class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
EntityEntityWritable(long, long) - Constructor for class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
EntityPrefWritable - Class in org.apache.mahout.cf.taste.hadoop: A Writable encapsulating an item ID and a preference value.
EntityPrefWritable() - Constructor for class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
EntityPrefWritable(long, float) - Constructor for class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
EntityPrefWritable(EntityPrefWritable) - Constructor for class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
entropy(Data) - Method in class org.apache.mahout.classifier.df.split.DefaultIgSplit: Deprecated.

Computes the Entropy
entropy() - Method in class org.apache.mahout.classifier.evaluation.Auc: Returns a matrix related to the confusion matrix and to the log-likelihood.
entrySet() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
entrySet() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
equals(Object) - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
equals(Object) - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
equals(Object) - Method in class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable
equals(Object) - Method in class org.apache.mahout.cf.taste.hadoop.MutableRecommendedItem
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.recommender.SimilarUser
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
equals(int, double) - Static method in class org.apache.mahout.classifier.df.data.conditions.Condition: Deprecated.

Condition that checks if the given attribute has a value "equal" to the given value
Equals - Class in org.apache.mahout.classifier.df.data.conditions: Deprecated.
Equals(int, double) - Constructor for class org.apache.mahout.classifier.df.data.conditions.Equals: Deprecated.
equals(Object) - Method in class org.apache.mahout.classifier.df.data.Data: Deprecated.
equals(Object) - Method in class org.apache.mahout.classifier.df.data.Dataset: Deprecated.
equals(Object) - Method in class org.apache.mahout.classifier.df.data.Instance: Deprecated.
equals(Object) - Method in class org.apache.mahout.classifier.df.DecisionForest: Deprecated.
equals(Object) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit: Deprecated.
equals(Object) - Method in class org.apache.mahout.classifier.df.mapreduce.MapredOutput: Deprecated.
equals(Object) - Method in class org.apache.mahout.classifier.df.node.CategoricalNode: Deprecated.
equals(Object) - Method in class org.apache.mahout.classifier.df.node.Leaf: Deprecated.
equals(Object) - Method in class org.apache.mahout.classifier.df.node.NumericalNode: Deprecated.
equals(Object) - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight
equals(Object) - Method in class org.apache.mahout.clustering.streaming.mapreduce.CentroidWritable
equals(Object) - Method in class org.apache.mahout.common.IntegerTuple
equals(Object) - Method in class org.apache.mahout.common.IntPairWritable
equals(Object) - Method in class org.apache.mahout.common.IntPairWritable.Frequency
equals(Object) - Method in class org.apache.mahout.common.LongPair
equals(Object) - Method in class org.apache.mahout.common.Pair
equals(Object) - Method in class org.apache.mahout.common.StringTuple
equals(Object) - Method in class org.apache.mahout.ep.State
equals(Object) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
equals(Object) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable
equals(Object) - Method in class org.apache.mahout.math.neighborhood.HashedVector
ErrorEstimate - Class in org.apache.mahout.classifier.df: Deprecated.
errorRate(double[], double[]) - Static method in class org.apache.mahout.classifier.df.ErrorEstimate: Deprecated.
escapeXML(CharSequence) - Static method in class org.apache.mahout.common.StringUtils
estimate(Long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender.MostSimilarEstimator
estimate(T) - Method in interface org.apache.mahout.cf.taste.impl.recommender.TopItems.Estimator
ESTIMATED_DISTANCE_CUTOFF - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver: The initial estimated distance cutoff between two points for forming new clusters.
ESTIMATED_NUM_MAP_CLUSTERS - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver: The number of cluster that Mappers will use should be \(O(k log n)\) where k is the number of clusters to get at the end and n is the number of points to cluster.
estimateDistanceCutoff(List<? extends Vector>, DistanceMeasure) - Static method in class org.apache.mahout.clustering.ClusteringUtils: Estimates the distance cutoff.
estimateDistanceCutoff(Iterable<T>, DistanceMeasure, int) - Static method in class org.apache.mahout.clustering.ClusteringUtils
EstimatedPreferenceCapper - Class in org.apache.mahout.cf.taste.impl.recommender: Simple class which encapsulates restricting a preference value to a predefined range.
EstimatedPreferenceCapper(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.EstimatedPreferenceCapper
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.RandomRecommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender: a preference is estimated by computing the dot-product of the user and item feature vectors
estimatePreference(long, long) - Method in interface org.apache.mahout.cf.taste.recommender.Recommender
EuclideanDistanceMeasure - Class in org.apache.mahout.common.distance: This class implements a Euclidean distance metric by summing the square root of the squared differences between each coordinate.
EuclideanDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.EuclideanDistanceMeasure
EuclideanDistanceSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity: An implementation of a "similarity" based on the Euclidean "distance" between two users X and Y.
EuclideanDistanceSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.EuclideanDistanceSimilarity
EuclideanDistanceSimilarity(DataModel, Weighting) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.EuclideanDistanceSimilarity
EuclideanDistanceSimilarity - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence.measures
EuclideanDistanceSimilarity() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.EuclideanDistanceSimilarity
evaluate(RecommenderBuilder, DataModelBuilder, DataModel, double, double) - Method in interface org.apache.mahout.cf.taste.eval.RecommenderEvaluator: Evaluates the quality of a Recommender's recommendations.
evaluate(RecommenderBuilder, DataModelBuilder, DataModel, IDRescorer, int, double, double) - Method in interface org.apache.mahout.cf.taste.eval.RecommenderIRStatsEvaluator
evaluate(RecommenderBuilder, DataModelBuilder, DataModel, double, double) - Method in class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator
evaluate(RecommenderBuilder, DataModelBuilder, DataModel, IDRescorer, int, double, double) - Method in class org.apache.mahout.cf.taste.impl.eval.GenericRecommenderIRStatsEvaluator
evaluate(Recommender, Recommender, int, RunningAverage, String) - Static method in class org.apache.mahout.cf.taste.impl.eval.OrderBasedRecommenderEvaluator
evaluate(Recommender, DataModel, int, RunningAverage, String) - Static method in class org.apache.mahout.cf.taste.impl.eval.OrderBasedRecommenderEvaluator
evaluate(DataModel, DataModel, int, RunningAverage, String) - Static method in class org.apache.mahout.cf.taste.impl.eval.OrderBasedRecommenderEvaluator
EvolutionaryProcess<T extends Payload<U>,U> - Class in org.apache.mahout.ep: Allows evolutionary optimization where the state function can't be easily packaged for the optimizer to execute.
EvolutionaryProcess() - Constructor for class org.apache.mahout.ep.EvolutionaryProcess
EvolutionaryProcess(int, int, State<T, U>) - Constructor for class org.apache.mahout.ep.EvolutionaryProcess: Creates an evolutionary optimization framework with specified threadiness, population size and initial state.
EvolutionaryProcess.Function<T> - Interface in org.apache.mahout.ep
execute(Collection<Callable<Void>>, AtomicInteger, RunningAverageAndStdDev) - Static method in class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator
exponential() - Static method in class org.apache.mahout.ep.Mapping: Maps results to positive values.
exponential(double) - Static method in class org.apache.mahout.ep.Mapping: Maps results to positive values.
Exponential() - Constructor for class org.apache.mahout.ep.Mapping.Exponential
exportWithIDsOnly() - Method in interface org.apache.mahout.cf.taste.model.JDBCDataModel
exportWithPrefs() - Method in interface org.apache.mahout.cf.taste.model.JDBCDataModel: Hmm, should this exist elsewhere? seems like most relevant for a DB implementation, which is not in memory, which might want to export to memory.
extractLabels() - Method in class org.apache.mahout.classifier.df.data.Data: Deprecated.

extract the labels of all instances
extractRawData(Matrix) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDHelper: extracts row-wise raw data from a Mahout matrix for 3rd party solvers.

F

Factorization - Class in org.apache.mahout.cf.taste.impl.recommender.svd: a factorization of the rating matrix
Factorization(FastByIDMap<Integer>, FastByIDMap<Integer>, double[][], double[][]) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
FactorizationEvaluator - Class in org.apache.mahout.cf.taste.hadoop.als: Measures the root-mean-squared error of a rating matrix factorization against a test set.
FactorizationEvaluator() - Constructor for class org.apache.mahout.cf.taste.hadoop.als.FactorizationEvaluator
FactorizationEvaluator.PredictRatingsMapper - Class in org.apache.mahout.cf.taste.hadoop.als
factorize() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ALSWRFactorizer
factorize() - Method in interface org.apache.mahout.cf.taste.impl.recommender.svd.Factorizer
factorize() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer
factorize() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
factorize() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.SVDPlusPlusFactorizer
Factorizer - Interface in org.apache.mahout.cf.taste.impl.recommender.svd: Implementation must be able to create a factorization of a rating matrix
FastByIDMap<V> - Class in org.apache.mahout.cf.taste.impl.common
FastByIDMap() - Constructor for class org.apache.mahout.cf.taste.impl.common.FastByIDMap: Creates a new FastByIDMap with default capacity.
FastByIDMap(int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastByIDMap
FastByIDMap(int, float) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastByIDMap
FastByIDMap(int, int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastByIDMap
FastByIDMap(int, int, float) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastByIDMap: Creates a new FastByIDMap whose capacity can accommodate the given number of entries without rehash.
FastIDSet - Class in org.apache.mahout.cf.taste.impl.common
FastIDSet() - Constructor for class org.apache.mahout.cf.taste.impl.common.FastIDSet: Creates a new FastIDSet with default capacity.
FastIDSet(long[]) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastIDSet
FastIDSet(int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastIDSet
FastIDSet(int, float) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastIDSet
FastMap<K,V> - Class in org.apache.mahout.cf.taste.impl.common: This is an optimized Map implementation, based on algorithms described in Knuth's "Art of Computer Programming", Vol.
FastMap() - Constructor for class org.apache.mahout.cf.taste.impl.common.FastMap: Creates a new FastMap with default capacity.
FastMap(int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastMap
FastMap(Map<K, V>) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastMap
FastMap(int, float) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastMap
FastMap(int, int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastMap
FastMap(int, int, float) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastMap: Creates a new whose capacity can accommodate the given number of entries without rehash.
FastProjectionSearch - Class in org.apache.mahout.math.neighborhood: Does approximate nearest neighbor search by projecting the vectors similar to ProjectionSearch.
FastProjectionSearch(DistanceMeasure, int, int) - Constructor for class org.apache.mahout.math.neighborhood.FastProjectionSearch
FEATURE_COUNT - Static variable in class org.apache.mahout.vectorizer.tfidf.TFIDFConverter
FEATURE_OFFSET - Static variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
FeatureVectorEncoder - Class in org.apache.mahout.vectorizer.encoders: General interface for objects that record features into a feature vector.
FeatureVectorEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
FeatureVectorEncoder(String, int) - Constructor for class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
featureWeight(int) - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
featureWeight(int) - Method in class org.apache.mahout.classifier.naivebayes.training.ComplementaryThetaTrainer
fetchVector(Path, int) - Method in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState
FileDataModel - Class in org.apache.mahout.cf.taste.impl.model.file: A DataModel backed by a delimited file.
FileDataModel(File) - Constructor for class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
FileDataModel(File, String) - Constructor for class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
FileDataModel(File, boolean, long) - Constructor for class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
FileDataModel(File, boolean, long, String) - Constructor for class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
FileIDMigrator - Class in org.apache.mahout.cf.taste.impl.model.file: An IDMigrator backed by a file.
FileIDMigrator(File) - Constructor for class org.apache.mahout.cf.taste.impl.model.file.FileIDMigrator
FileIDMigrator(File, long) - Constructor for class org.apache.mahout.cf.taste.impl.model.file.FileIDMigrator
FileItemSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity.file: An ItemSimilarity backed by a comma-delimited file.
FileItemSimilarity(File) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity
FileItemSimilarity(File, long) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity
FileLineIterable - Class in org.apache.mahout.common.iterator: Iterable representing the lines of a text file.
FileLineIterable(File) - Constructor for class org.apache.mahout.common.iterator.FileLineIterable: Creates a FileLineIterable over a given file, assuming a UTF-8 encoding.
FileLineIterable(File, boolean) - Constructor for class org.apache.mahout.common.iterator.FileLineIterable: Creates a FileLineIterable over a given file, assuming a UTF-8 encoding.
FileLineIterable(File, Charset, boolean) - Constructor for class org.apache.mahout.common.iterator.FileLineIterable: Creates a FileLineIterable over a given file, using the given encoding.
FileLineIterable(InputStream) - Constructor for class org.apache.mahout.common.iterator.FileLineIterable
FileLineIterable(InputStream, boolean) - Constructor for class org.apache.mahout.common.iterator.FileLineIterable
FileLineIterable(InputStream, Charset, boolean) - Constructor for class org.apache.mahout.common.iterator.FileLineIterable
FileLineIterable(InputStream, Charset, boolean, String) - Constructor for class org.apache.mahout.common.iterator.FileLineIterable
FileLineIterator - Class in org.apache.mahout.common.iterator: Iterates over the lines of a text file.
FileLineIterator(File) - Constructor for class org.apache.mahout.common.iterator.FileLineIterator: Creates a FileLineIterator over a given file, assuming a UTF-8 encoding.
FileLineIterator(File, boolean) - Constructor for class org.apache.mahout.common.iterator.FileLineIterator: Creates a FileLineIterator over a given file, assuming a UTF-8 encoding.
FileLineIterator(File, Charset, boolean) - Constructor for class org.apache.mahout.common.iterator.FileLineIterator: Creates a FileLineIterator over a given file, using the given encoding.
FileLineIterator(InputStream) - Constructor for class org.apache.mahout.common.iterator.FileLineIterator
FileLineIterator(InputStream, boolean) - Constructor for class org.apache.mahout.common.iterator.FileLineIterator
FileLineIterator(InputStream, Charset, boolean) - Constructor for class org.apache.mahout.common.iterator.FileLineIterator
FileLineIterator(InputStream, Charset, boolean, String) - Constructor for class org.apache.mahout.common.iterator.FileLineIterator
FilePersistenceStrategy - Class in org.apache.mahout.cf.taste.impl.recommender.svd: Provides a file-based persistent store.
FilePersistenceStrategy(File) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.FilePersistenceStrategy
FileSimilarItemsWriter - Class in org.apache.mahout.cf.taste.impl.similarity.precompute: Persist the precomputed item similarities to a file that can later be used by a FileItemSimilarity
FileSimilarItemsWriter(File) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.precompute.FileSimilarItemsWriter
FINAL_ITERATION_SUFFIX - Static variable in interface org.apache.mahout.clustering.Cluster
finalPartFilter() - Static method in class org.apache.mahout.common.iterator.sequencefile.PathFilters
findInCacheByPartOfFilename(String, URI[]) - Static method in class org.apache.mahout.common.HadoopUtil: Finds a file in the DistributedCache
FirstGroupingComparator() - Constructor for class org.apache.mahout.common.IntPairWritable.FirstGroupingComparator
firstLine(String) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory: Processes the first line of a file (which should contain the variable names).
firstLine(String) - Method in interface org.apache.mahout.classifier.sgd.RecordFactory
FixedRunningAverage - Class in org.apache.mahout.cf.taste.impl.common: A simple class that represents a fixed value of an average and count.
FixedRunningAverage(double, int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage
FixedRunningAverageAndStdDev - Class in org.apache.mahout.cf.taste.impl.common: A simple class that represents a fixed value of an average, count and standard deviation.
FixedRunningAverageAndStdDev(double, double, int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FixedRunningAverageAndStdDev
FixedSizeSamplingIterator<T> - Class in org.apache.mahout.common.iterator: Sample a fixed number of elements from an Iterator.
FixedSizeSamplingIterator(int, Iterator<T>) - Constructor for class org.apache.mahout.common.iterator.FixedSizeSamplingIterator
flush(double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder: Adds all of the tokens that we counted up to a vector.
ForestVisualizer - Class in org.apache.mahout.classifier.df.tools: Deprecated.
formatCluster(Kluster) - Static method in class org.apache.mahout.clustering.kmeans.Kluster: Format the cluster for output
formatVector(Vector, String[]) - Static method in class org.apache.mahout.clustering.AbstractCluster: Return a human-readable formatted string representation of the vector, not intended to be complete nor usable as an input/output representation
formatVectorAsJson(Vector, String[]) - Static method in class org.apache.mahout.clustering.AbstractCluster: Create a List of HashMaps containing vector terms and weights
forwardAlgorithm(HmmModel, int[], boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmAlgorithms: External function to compute a matrix of alpha factors
freeze(State<AdaptiveLogisticRegression.Wrapper, CrossFoldLearner>) - Static method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
Frequencies - Class in org.apache.mahout.classifier.df.tools: Deprecated.
FrequenciesJob - Class in org.apache.mahout.classifier.df.tools: Deprecated.
FrequenciesJob(Path, Path, Path) - Constructor for class org.apache.mahout.classifier.df.tools.FrequenciesJob: Deprecated.
Frequency(IntPairWritable, double) - Constructor for class org.apache.mahout.common.IntPairWritable.Frequency
FREQUENCY_FILE - Static variable in class org.apache.mahout.vectorizer.tfidf.TFIDFConverter
fromJSON(String) - Static method in class org.apache.mahout.classifier.df.data.Dataset: Deprecated.

De-serialize an instance from a string
fromList(Iterable<String>) - Static method in class org.apache.mahout.vectorizer.encoders.Dictionary
fromRho(double, double[]) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
fromString(String) - Static method in class org.apache.mahout.common.StringUtils: Restores the object from its string representation.
FullRunningAverage - Class in org.apache.mahout.cf.taste.impl.common: A simple class that can keep track of a running average of a series of numbers.
FullRunningAverage() - Constructor for class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
FullRunningAverage(int, double) - Constructor for class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
FullRunningAverageAndStdDev - Class in org.apache.mahout.cf.taste.impl.common: Extends FullRunningAverage to add a running standard deviation computation.
FullRunningAverageAndStdDev() - Constructor for class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
FullRunningAverageAndStdDev(int, double, double, double) - Constructor for class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
FuzzyKMeansClusterer - Class in org.apache.mahout.clustering.fuzzykmeans
FuzzyKMeansClusterer() - Constructor for class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
FuzzyKMeansClusteringPolicy - Class in org.apache.mahout.clustering.iterator: This is a probability-weighted clustering policy, suitable for fuzzy k-means clustering
FuzzyKMeansClusteringPolicy() - Constructor for class org.apache.mahout.clustering.iterator.FuzzyKMeansClusteringPolicy
FuzzyKMeansClusteringPolicy(double, double) - Constructor for class org.apache.mahout.clustering.iterator.FuzzyKMeansClusteringPolicy
FuzzyKMeansDriver - Class in org.apache.mahout.clustering.fuzzykmeans
FuzzyKMeansDriver() - Constructor for class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver

G

GaussianAccumulator - Interface in org.apache.mahout.clustering
generateAllGrams(Path, Path, Configuration, int, int, float, int) - Static method in class org.apache.mahout.vectorizer.collocations.llr.CollocDriver: Generate all ngrams for the DictionaryVectorizer job
generateBasisNormal(int, int) - Static method in class org.apache.mahout.math.random.RandomProjector: Generates a basis matrix of size projectedVectorSize x vectorSize.
generateBasisPlusMinusOne(int, int) - Static method in class org.apache.mahout.math.random.RandomProjector: Generates a basis matrix of size projectedVectorSize x vectorSize.
generateBasisZeroPlusMinusOne(int, int) - Static method in class org.apache.mahout.math.random.RandomProjector: Generates a basis matrix of size projectedVectorSize x vectorSize.
generateDataset(CharSequence, boolean, FileSystem, Path) - Static method in class org.apache.mahout.classifier.df.data.DataLoader: Deprecated.

Generates the Dataset by parsing the entire data
generateDataset(CharSequence, boolean, String[]) - Static method in class org.apache.mahout.classifier.df.data.DataLoader: Deprecated.

Generates the Dataset by parsing the entire data
generateDescriptor(CharSequence) - Static method in class org.apache.mahout.classifier.df.data.DescriptorUtils: Deprecated.

Generates a valid descriptor string from a user-friendly representation.
for example "3 N I N N 2 C L 5 I" generates "N N N I N N C C L I I I I I".
this useful when describing datasets with a large number of attributes
generateDescriptor(Iterable<String>) - Static method in class org.apache.mahout.classifier.df.data.DescriptorUtils: Deprecated.

Generates a valid descriptor string from a list of tokens
generateNGrams() - Method in class org.apache.mahout.common.nlp.NGrams
generateNGramsWithoutLabel() - Method in class org.apache.mahout.common.nlp.NGrams
generateVectorBasis(int, int) - Static method in class org.apache.mahout.math.random.RandomProjector: Generates a list of projectedVectorSize vectors, each of size vectorSize.
GenericBooleanPrefDataModel - Class in org.apache.mahout.cf.taste.impl.model: A simple DataModel which uses given user data as its data source.
GenericBooleanPrefDataModel(FastByIDMap<FastIDSet>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel: Creates a new GenericDataModel from the given users (and their preferences).
GenericBooleanPrefDataModel(FastByIDMap<FastIDSet>, FastByIDMap<FastByIDMap<Long>>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel: Creates a new GenericDataModel from the given users (and their preferences).
GenericBooleanPrefDataModel(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel: Deprecated.
without direct replacement. Consider GenericBooleanPrefDataModel.toDataMap(DataModel) with GenericBooleanPrefDataModel.GenericBooleanPrefDataModel(FastByIDMap)
GenericBooleanPrefItemBasedRecommender - Class in org.apache.mahout.cf.taste.impl.recommender: A variant on GenericItemBasedRecommender which is appropriate for use when no notion of preference value exists in the data.
GenericBooleanPrefItemBasedRecommender(DataModel, ItemSimilarity) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefItemBasedRecommender
GenericBooleanPrefItemBasedRecommender(DataModel, ItemSimilarity, CandidateItemsStrategy, MostSimilarItemsCandidateItemsStrategy) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefItemBasedRecommender
GenericBooleanPrefUserBasedRecommender - Class in org.apache.mahout.cf.taste.impl.recommender: A variant on GenericUserBasedRecommender which is appropriate for use when no notion of preference value exists in the data.
GenericBooleanPrefUserBasedRecommender(DataModel, UserNeighborhood, UserSimilarity) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefUserBasedRecommender
GenericDataModel - Class in org.apache.mahout.cf.taste.impl.model: A simple DataModel which uses a given List of users as its data source.
GenericDataModel(FastByIDMap<PreferenceArray>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericDataModel: Creates a new GenericDataModel from the given users (and their preferences).
GenericDataModel(FastByIDMap<PreferenceArray>, FastByIDMap<FastByIDMap<Long>>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericDataModel: Creates a new GenericDataModel from the given users (and their preferences).
GenericDataModel(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericDataModel: Deprecated.
without direct replacement. Consider GenericDataModel.toDataMap(DataModel) with GenericDataModel.GenericDataModel(FastByIDMap)
GenericItemBasedRecommender - Class in org.apache.mahout.cf.taste.impl.recommender: A simple Recommender which uses a given DataModel and ItemSimilarity to produce recommendations.
GenericItemBasedRecommender(DataModel, ItemSimilarity, CandidateItemsStrategy, MostSimilarItemsCandidateItemsStrategy) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
GenericItemBasedRecommender(DataModel, ItemSimilarity) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
GenericItemBasedRecommender.MostSimilarEstimator - Class in org.apache.mahout.cf.taste.impl.recommender
GenericItemPreferenceArray - Class in org.apache.mahout.cf.taste.impl.model: Like GenericUserPreferenceArray but stores preferences for one item (all item IDs the same) rather than one user.
GenericItemPreferenceArray(int) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
GenericItemPreferenceArray(List<? extends Preference>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
GenericItemSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity: A "generic" ItemSimilarity which takes a static list of precomputed item similarities and bases its responses on that alone.
GenericItemSimilarity(Iterable<GenericItemSimilarity.ItemItemSimilarity>) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity: Creates a GenericItemSimilarity from a precomputed list of GenericItemSimilarity.ItemItemSimilaritys.
GenericItemSimilarity(Iterable<GenericItemSimilarity.ItemItemSimilarity>, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity: Like GenericItemSimilarity.GenericItemSimilarity(Iterable), but will only keep the specified number of similarities from the given Iterable of similarities.
GenericItemSimilarity(ItemSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity: Builds a list of item-item similarities given an ItemSimilarity implementation and a DataModel, rather than a list of GenericItemSimilarity.ItemItemSimilaritys.
GenericItemSimilarity(ItemSimilarity, DataModel, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity: Like GenericItemSimilarity.GenericItemSimilarity(ItemSimilarity, DataModel) )}, but will only keep the specified number of similarities from the given DataModel.
GenericItemSimilarity.ItemItemSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity: Encapsulates a similarity between two items.
GenericPreference - Class in org.apache.mahout.cf.taste.impl.model: A simple Preference encapsulating an item and preference value.
GenericPreference(long, long, float) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericPreference
GenericRecommendedItem - Class in org.apache.mahout.cf.taste.impl.recommender: A simple implementation of RecommendedItem.
GenericRecommendedItem(long, float) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem
GenericRecommenderIRStatsEvaluator - Class in org.apache.mahout.cf.taste.impl.eval: For each user, these implementation determine the top n preferences, then evaluate the IR statistics based on a DataModel that does not have these values.
GenericRecommenderIRStatsEvaluator() - Constructor for class org.apache.mahout.cf.taste.impl.eval.GenericRecommenderIRStatsEvaluator
GenericRecommenderIRStatsEvaluator(RelevantItemsDataSplitter) - Constructor for class org.apache.mahout.cf.taste.impl.eval.GenericRecommenderIRStatsEvaluator
GenericRelevantItemsDataSplitter - Class in org.apache.mahout.cf.taste.impl.eval: Picks relevant items to be those with the strongest preference, and includes the other users' preferences in full.
GenericRelevantItemsDataSplitter() - Constructor for class org.apache.mahout.cf.taste.impl.eval.GenericRelevantItemsDataSplitter
GenericUserBasedRecommender - Class in org.apache.mahout.cf.taste.impl.recommender: A simple Recommender which uses a given DataModel and UserNeighborhood to produce recommendations.
GenericUserBasedRecommender(DataModel, UserNeighborhood, UserSimilarity) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
GenericUserPreferenceArray - Class in org.apache.mahout.cf.taste.impl.model: Like GenericItemPreferenceArray but stores preferences for one user (all user IDs the same) rather than one item.
GenericUserPreferenceArray(int) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
GenericUserPreferenceArray(List<? extends Preference>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
GenericUserSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
GenericUserSimilarity(Iterable<GenericUserSimilarity.UserUserSimilarity>) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
GenericUserSimilarity(Iterable<GenericUserSimilarity.UserUserSimilarity>, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
GenericUserSimilarity(UserSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
GenericUserSimilarity(UserSimilarity, DataModel, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
GenericUserSimilarity.UserUserSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
get(K) - Method in class org.apache.mahout.cf.taste.impl.common.Cache: Returns cached value for a key.
get(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
get(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
get(K) - Method in interface org.apache.mahout.cf.taste.impl.common.Retriever
get(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
get(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
get(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
get(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
get(int) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer.PreferenceShuffler
get(int) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
get(int) - Method in class org.apache.mahout.classifier.df.data.Data: Deprecated.

Returns the element at the specified position
get(int) - Method in class org.apache.mahout.classifier.df.data.Instance: Deprecated.

Return the attribute at the specified position
get() - Method in class org.apache.mahout.common.parameters.AbstractParameter
get(String) - Method in class org.apache.mahout.common.Parameters
get(String, String) - Method in class org.apache.mahout.common.Parameters
get() - Method in interface org.apache.mahout.common.parameters.Parameter
get(int) - Method in class org.apache.mahout.ep.State: Returns a transformed parameter.
get() - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.MutableElement
getAbtBlockHeight() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
getAccuracy(String) - Method in class org.apache.mahout.classifier.ConfusionMatrix
getAccuracy() - Method in class org.apache.mahout.classifier.ConfusionMatrix
getActual() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.TrainingExample
getAdjustedRandIndex(Matrix) - Static method in class org.apache.mahout.clustering.ClusteringUtils: Computes the Adjusted Rand Index for a given confusion matrix.
getAllOtherItems(long, PreferenceArray, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
getAllOtherItems(long[], long, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefUserBasedRecommender
getAllOtherItems(long[], long, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
getAnalyzerClassFromOption() - Method in class org.apache.mahout.common.AbstractJob
getAnalyzerClassName() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
getAttr() - Method in class org.apache.mahout.classifier.df.split.Split: Deprecated.
getAttribute(int) - Method in class org.apache.mahout.classifier.df.data.Dataset: Deprecated.
getAucEvaluator() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
getAverage() - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage
getAverage() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
getAverage() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage
getAverage() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
getAverage() - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverage
getAverage() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
getAverageStd() - Method in interface org.apache.mahout.clustering.GaussianAccumulator
getAverageStd() - Method in class org.apache.mahout.clustering.OnlineGaussianAccumulator
getAverageStd() - Method in class org.apache.mahout.clustering.RunningSumsGaussianAccumulator
getBaseGradient() - Method in class org.apache.mahout.classifier.sgd.RankingGradient
getBasisVector(int) - Method in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState
getBest() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getBestCentroids(List<Centroid>, Configuration) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansReducer
getBeta() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
getBlock() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.DenseBlockWritable
getBottomLevelClusterPath(Path, String) - Static method in class org.apache.mahout.clustering.topdown.PathDirectory: Each cluster produced by top level clustering is processed in output/"bottomLevelCluster"/clusterId.
getBuffer() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getBytes() - Method in class org.apache.mahout.common.IntPairWritable
getBytes() - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
getBytes() - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey
getCachedFiles(Configuration) - Static method in class org.apache.mahout.common.HadoopUtil: Retrieves paths to cached files.
getCandidateItems(long, PreferenceArray, DataModel, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractCandidateItemsStrategy
getCandidateItems(long[], DataModel) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractCandidateItemsStrategy
getCandidateItems(long, PreferenceArray, DataModel, boolean) - Method in interface org.apache.mahout.cf.taste.recommender.CandidateItemsStrategy
getCandidateItems(long[], DataModel) - Method in interface org.apache.mahout.cf.taste.recommender.MostSimilarItemsCandidateItemsStrategy
getCandidateQueue(int) - Static method in class org.apache.mahout.math.neighborhood.Searcher: Returns a bounded size priority queue, in reverse order that keeps track of the best nearest neighbor vectors.
getCardinality() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
getCategory(int) - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight
getCenter() - Method in class org.apache.mahout.clustering.AbstractCluster
getCenter() - Method in interface org.apache.mahout.clustering.Cluster: Get the "center" of the Cluster as a Vector
getCenters(Iterable<Canopy>) - Static method in class org.apache.mahout.clustering.canopy.CanopyClusterer: Deprecated.

Iterate through the canopies, adding their centroids to a list
getCentroid() - Method in class org.apache.mahout.clustering.streaming.mapreduce.CentroidWritable
getCentroidsFromVectorWritable(Iterable<VectorWritable>) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansUtilsMR: Returns an Iterable of centroids from an Iterable of VectorWritables by creating a new Centroid containing a RandomAccessSparseVector as a delegate for each VectorWritable.
getChunkSizeInMegabytes() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
getClassname() - Method in enum org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.VectorSimilarityMeasures
getCleanedEigensPath() - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob: Deprecated.
getCLIOption(String) - Method in class org.apache.mahout.common.AbstractJob
getClusterIDs(Path, Configuration, boolean) - Static method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterCountReader: Generates a list of all cluster ids by reading the clusters-*-final file.
getClusterOutputClusteredPoints(Path) - Static method in class org.apache.mahout.clustering.topdown.PathDirectory: The top level clustered points before post processing is generated here.
getClusterPathForClusterId(Path, String) - Static method in class org.apache.mahout.clustering.topdown.PathDirectory: Each clusters path name is its clusterId.
getClusterPostProcessorOutputDirectory(Path) - Static method in class org.apache.mahout.clustering.topdown.PathDirectory: The output of top level clusters is post processed and kept in this path.
getCnt() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
getCol() - Method in class org.apache.mahout.clustering.spectral.VertexWritable
getCol() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
getConf() - Method in class org.apache.mahout.classifier.df.tools.Describe
getConf() - Method in class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0
getConf() - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
getConf() - Method in class org.apache.mahout.common.AbstractJob
getConf() - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver.DistributedLanczosSolverJob: Deprecated.
getConf() - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver: Deprecated.
getConf() - Method in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState
getConf() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
getConf() - Method in class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver.DistributedConjugateGradientSolverJob
getConf() - Method in class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver
getConf() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
getConfusionMatrix() - Method in class org.apache.mahout.classifier.ConfusionMatrix
getConfusionMatrix() - Method in class org.apache.mahout.classifier.ResultAnalyzer
getConfusionMatrix(List<? extends Vector>, List<? extends Vector>, Iterable<? extends Vector>, DistanceMeasure) - Static method in class org.apache.mahout.clustering.ClusteringUtils: Creates a confusion matrix by searching for the closest cluster of both the row clustering and column clustering of a point and adding its weight to that cell of the matrix.
getCorrect(String) - Method in class org.apache.mahout.classifier.ConfusionMatrix
getCosAngleError() - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVector
getCosAngleError(CharSequence) - Static method in class org.apache.mahout.math.hadoop.decomposer.EigenVector
getCount() - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage
getCount() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
getCount() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage
getCount() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
getCount() - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverage
getCount() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
getCount(String, String) - Method in class org.apache.mahout.classifier.ConfusionMatrix
getCumulativeInitialProbabilities(HmmModel) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils: Compute the cumulative distribution of the initial hidden state probabilities for the given HMM model.
getCumulativeOutputMatrix(HmmModel) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils: Compute the cumulative output probability matrix for the given HMM model.
getCumulativeTransitionMatrix(HmmModel) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils: Compute the cumulative transition probability matrix for the given HMM model.
getCurrentKey() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader: Deprecated.
getCurrentValue() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader: Deprecated.
getCustomJobName(String, JobContext, Class<? extends Mapper>, Class<? extends Reducer>) - Static method in class org.apache.mahout.common.HadoopUtil
getDataFile() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getDataModel() - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
getDataModel() - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
getDataModel() - Method in class org.apache.mahout.cf.taste.impl.similarity.AbstractItemSimilarity
getDataModel() - Method in interface org.apache.mahout.cf.taste.recommender.Recommender
getDataPath() - Method in class org.apache.mahout.classifier.df.mapreduce.Builder: Deprecated.
getDataset() - Method in class org.apache.mahout.classifier.df.data.Data: Deprecated.
getDataset() - Method in class org.apache.mahout.classifier.df.mapreduce.MapredMapper: Deprecated.
getDataSource() - Method in interface org.apache.mahout.cf.taste.model.JDBCDataModel
getDefaultCandidateItemsStrategy() - Static method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
getDefaultLabel() - Method in class org.apache.mahout.classifier.ConfusionMatrix
getDefaultMostSimilarItemsCandidateItemsStrategy() - Static method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
getDelegate() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getDiagonalMatrix() - Method in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState
getDictionary() - Method in class org.apache.mahout.vectorizer.encoders.AdaptiveWordValueEncoder
getDimensions(Path) - Method in class org.apache.mahout.common.AbstractJob: Get the cardinality of the input vectors
getDistanceCutoff() - Method in class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans
getDistanceMeasure() - Method in class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans
getDistanceMeasure() - Method in class org.apache.mahout.math.neighborhood.Searcher
getDistributedCacheFile(Configuration, int) - Static method in class org.apache.mahout.classifier.df.mapreduce.Builder: Deprecated.

Helper method.
getEigenValue() - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVector
getEigenValue(CharSequence) - Static method in class org.apache.mahout.math.hadoop.decomposer.EigenVector
getEmissionMatrix() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel: Getter function to get the output state probability matrix
getEncoderClass() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
getEncoderName() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
getEntries() - Method in class org.apache.mahout.common.IntegerTuple: Fetch the list of entries from the tuple
getEntries() - Method in class org.apache.mahout.common.StringTuple: Fetch the list of entries from the tuple
getEp() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getExponent() - Method in class org.apache.mahout.common.distance.MinkowskiDistanceMeasure
getF1Measure() - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics: See F-measure.
getF1Measure() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
getF1score(String) - Method in class org.apache.mahout.classifier.ConfusionMatrix
getFallOut() - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics: See Fall-Out.
getFallOut() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
getFeature() - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight
getFetchSize() - Method in class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent
getFileStatus(Path, PathType, PathFilter, Comparator<FileStatus>, Configuration) - Static method in class org.apache.mahout.common.HadoopUtil
getFirst() - Method in class org.apache.mahout.common.IntPairWritable
getFirst() - Method in class org.apache.mahout.common.LongPair
getFirst() - Method in class org.apache.mahout.common.Pair
getFirstId() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit: Deprecated.
getFirstTreeId() - Method in class org.apache.mahout.classifier.df.mapreduce.partial.Step1Mapper: Deprecated.
getFloat(String) - Method in class org.apache.mahout.common.AbstractJob
getFloat(String, float) - Method in class org.apache.mahout.common.AbstractJob
getFNMeasure(double) - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics: See F-measure.
getFNMeasure(double) - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
getFrequency() - Method in class org.apache.mahout.common.IntPairWritable.Frequency
getFrequency() - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
getGroup() - Method in class org.apache.mahout.common.AbstractJob
getGroupKey() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.TrainingExample
getHash() - Method in class org.apache.mahout.math.neighborhood.HashedVector
getHiddenStateID(String) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel: Lookup the ID for the given hidden state name
getHiddenStateName(int) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel: Lookup the name for the given hidden state ID
getHiddenStateNames() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel: Getter method for the hidden state Names map
getID() - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
getId() - Method in class org.apache.mahout.clustering.AbstractCluster
getId() - Method in interface org.apache.mahout.clustering.Cluster: Get the id of the Cluster
getId() - Method in class org.apache.mahout.ep.State
getIdentifier() - Method in class org.apache.mahout.clustering.AbstractCluster
getIdentifier() - Method in class org.apache.mahout.clustering.canopy.Canopy: Deprecated.
getIdentifier() - Method in class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
getIdentifier() - Method in class org.apache.mahout.clustering.iterator.DistanceMeasureCluster
getIdentifier() - Method in class org.apache.mahout.clustering.kmeans.Kluster
getIdName() - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
getIDs() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
getIDs() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
getIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
getIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
getIDs() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
getIdString(CharSequence) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory: Extract the id column value from the CSV record
getIg() - Method in class org.apache.mahout.classifier.df.split.Split: Deprecated.
getIgnored() - Method in class org.apache.mahout.classifier.df.data.Dataset: Deprecated.
getIndex() - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVector
getIndex(CharSequence) - Static method in class org.apache.mahout.math.hadoop.decomposer.EigenVector
getInitialProbabilities() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel: Getter function to return the vector of initial hidden state probabilities
getInitialVector(VectorIterable) - Static method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver: Deprecated.

For the distributed case, the best guess at a useful initialization state for Lanczos we'll chose to be uniform over all input dimensions, L_2 normalized.
getInputFile() - Method in class org.apache.mahout.common.AbstractJob
getInputPath() - Method in class org.apache.mahout.common.AbstractJob: Returns the input path established by a call to AbstractJob.parseArguments(String[]).
getInstance() - Static method in class org.apache.mahout.cf.taste.impl.recommender.ByValueRecommendedItemComparator
getInstance() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.TrainingExample
getInt(String) - Method in class org.apache.mahout.common.AbstractJob
getInt(String, int) - Method in class org.apache.mahout.common.AbstractJob
getInt(String, int) - Method in class org.apache.mahout.common.Parameters
getInverseCovarianceMatrix() - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
getItemFeatures(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
getItemID() - Method in class org.apache.mahout.cf.taste.hadoop.MutableRecommendedItem
getItemID(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
getItemID() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanPreference
getItemID(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
getItemID(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
getItemID() - Method in class org.apache.mahout.cf.taste.impl.model.GenericPreference
getItemID(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
getItemID() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem
getItemID() - Method in interface org.apache.mahout.cf.taste.model.Preference
getItemID(int) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
getItemID() - Method in interface org.apache.mahout.cf.taste.recommender.RecommendedItem
getItemID() - Method in class org.apache.mahout.cf.taste.similarity.precompute.SimilarItem
getItemID() - Method in class org.apache.mahout.cf.taste.similarity.precompute.SimilarItems
getItemID1() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
getItemID2() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
getItemIDMappingKeys() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
getItemIDMappings() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
getItemIds() - Method in class org.apache.mahout.cf.taste.hadoop.item.IDReader
getItemIDs() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getItemIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getItemIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getItemIDs() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getItemIDs() - Method in interface org.apache.mahout.cf.taste.model.DataModel
getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getItemIDsFromUser(long) - Method in interface org.apache.mahout.cf.taste.model.DataModel
getItemInstance() - Static method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
getItemItemPairInstance() - Static method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
getItemsToRecommendForUser(Long) - Method in class org.apache.mahout.cf.taste.hadoop.item.IDReader: Gets a collection of items which should be recommended for a user
getKappa() - Method in class org.apache.mahout.classifier.ConfusionMatrix: Accuracy v.s.
getKey() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.TrainingExample
getKey() - Method in class org.apache.mahout.clustering.spectral.IntDoublePairWritable
getKeyClass() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileIterator
getKP() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRFirstStep
getLabel() - Method in class org.apache.mahout.classifier.ClassifierResult
getLabel(Instance) - Method in class org.apache.mahout.classifier.df.data.Dataset: Deprecated.
getLabelId() - Method in class org.apache.mahout.classifier.df.data.Dataset: Deprecated.
getLabels() - Method in class org.apache.mahout.classifier.ConfusionMatrix
getLabels() - Method in class org.apache.mahout.math.MultiLabelVectorWritable
getLabelString(double) - Method in class org.apache.mahout.classifier.df.data.Dataset: Deprecated.

Returns the label value in the data This method can be used when the criterion variable is the categorical attribute.
getLambda() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
getLearner() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
getLength() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit: Deprecated.
getLength() - Method in class org.apache.mahout.common.IntPairWritable
getLength() - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
getLength() - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey
getLocations() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit: Deprecated.
getLogLikelihood() - Method in class org.apache.mahout.classifier.ClassifierResult
getLogLikelihood() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
getM() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
getMappedParams() - Method in class org.apache.mahout.ep.State: Returns all the parameters in mapped form.
getMaps() - Method in class org.apache.mahout.ep.State
getMatrix() - Method in class org.apache.mahout.classifier.ConfusionMatrix
getMaxImpact() - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight
getMaxInterval() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getMaxIters() - Method in class org.apache.mahout.clustering.lda.cvb.CachingCVB0Mapper
getMaxNGramSize() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
getMaxPreference() - Method in interface org.apache.mahout.cf.taste.eval.RecommenderEvaluator: Deprecated.
see DataModel.getMaxPreference()
getMaxPreference() - Method in class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator
getMaxPreference() - Method in class org.apache.mahout.cf.taste.impl.model.AbstractDataModel
getMaxPreference() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getMaxPreference() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getMaxPreference() - Method in interface org.apache.mahout.cf.taste.model.DataModel
getMaxTime() - Method in class org.apache.mahout.common.TimingStatistics
getMean() - Method in interface org.apache.mahout.clustering.GaussianAccumulator
getMean() - Method in class org.apache.mahout.clustering.OnlineGaussianAccumulator
getMean() - Method in class org.apache.mahout.clustering.RunningSumsGaussianAccumulator
getMeanTime() - Method in class org.apache.mahout.common.TimingStatistics
getMeanVector() - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
getMeasure() - Method in class org.apache.mahout.clustering.iterator.DistanceMeasureCluster
getMinInterval() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getMinLLRValue() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
getMinPreference() - Method in interface org.apache.mahout.cf.taste.eval.RecommenderEvaluator: Deprecated.
see DataModel.getMinPreference()
getMinPreference() - Method in class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator
getMinPreference() - Method in class org.apache.mahout.cf.taste.impl.model.AbstractDataModel
getMinPreference() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getMinPreference() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getMinPreference() - Method in interface org.apache.mahout.cf.taste.model.DataModel
getMinSupport() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
getMinTime() - Method in class org.apache.mahout.common.TimingStatistics
getMk() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
getModel() - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier
getModelPaths(Configuration) - Static method in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
getModels() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
getModels() - Method in class org.apache.mahout.clustering.classify.ClusterClassifier
getModelTrainer() - Method in class org.apache.mahout.clustering.lda.cvb.CachingCVB0Mapper
getN() - Method in interface org.apache.mahout.clustering.GaussianAccumulator
getN() - Method in class org.apache.mahout.clustering.OnlineGaussianAccumulator
getN() - Method in class org.apache.mahout.clustering.RunningSumsGaussianAccumulator
getN() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
getName() - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
getNbTrees(Configuration) - Static method in class org.apache.mahout.classifier.df.mapreduce.Builder: Deprecated.

Get the number of trees for the map-reduce job.
getNbTrees() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit: Deprecated.
getNCalls() - Method in class org.apache.mahout.common.TimingStatistics
getNormalizedDiscountedCumulativeGain() - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics: See Normalized Discounted Cumulative Gain.
getNormalizedDiscountedCumulativeGain() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
getNormalizedStats() - Method in class org.apache.mahout.classifier.ConfusionMatrix: Standard deviation of normalized producer accuracy Not a standard score
getNormPower() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
getNrOfHiddenStates() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel: Getter Method for the number of hidden states
getNrOfOutputStates() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel: Getter Method for the number of output states
getNumberOfClusters(Path, Configuration) - Static method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterCountReader: Reads the number of clusters present by reading the clusters-*-final file.
getNumCategories() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getNumClusters() - Method in class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans
getNumFeatures() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getNumFeatures() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
getNumItems() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getNumItems() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getNumItems() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getNumItems() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getNumItems() - Method in interface org.apache.mahout.cf.taste.model.DataModel
getNumMaps(Configuration) - Static method in class org.apache.mahout.classifier.df.mapreduce.Builder: Deprecated.

Return the value of "mapred.map.tasks".
getNumObservations() - Method in class org.apache.mahout.clustering.AbstractCluster
getNumObservations() - Method in interface org.apache.mahout.clustering.Model: Return the number of observations that this model has seen since its parameters were last computed
getNumReducers() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
getNumRows() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockWritable
getNumTerms() - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
getNumTopics() - Method in class org.apache.mahout.clustering.lda.cvb.CachingCVB0Mapper
getNumTopics() - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
getNumUsers() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getNumUsers() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getNumUsers() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getNumUsers() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
getNumUsers() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getNumUsers() - Method in interface org.apache.mahout.cf.taste.model.DataModel
getNumUsersWithPreferenceFor(long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getNumUsersWithPreferenceFor(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getNumUsersWithPreferenceFor(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getNumUsersWithPreferenceFor(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getNumUsersWithPreferenceFor(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getNumUsersWithPreferenceFor(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getNumUsersWithPreferenceFor(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
getNumUsersWithPreferenceFor(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
getNumUsersWithPreferenceFor(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getNumUsersWithPreferenceFor(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getNumUsersWithPreferenceFor(long) - Method in interface org.apache.mahout.cf.taste.model.DataModel
getNumUsersWithPreferenceFor(long, long) - Method in interface org.apache.mahout.cf.taste.model.DataModel
getOmni() - Method in class org.apache.mahout.ep.State
getOption(String) - Method in class org.apache.mahout.common.AbstractJob
getOption(String, String) - Method in class org.apache.mahout.common.AbstractJob: Get the option, else the default
getOption(Map<String, List<String>>, String) - Static method in class org.apache.mahout.common.AbstractJob
getOptions(String) - Method in class org.apache.mahout.common.AbstractJob: Options can occur multiple times, so return the list
getOuterBlockHeight() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
getOutputFile() - Method in class org.apache.mahout.common.AbstractJob
getOutputPath(Configuration) - Method in class org.apache.mahout.classifier.df.mapreduce.Builder: Deprecated.

Output Directory name
getOutputPath() - Method in class org.apache.mahout.common.AbstractJob: Returns the output path established by a call to AbstractJob.parseArguments(String[]).
getOutputPath(String) - Method in class org.apache.mahout.common.AbstractJob
getOutputStateID(String) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel: Lookup the ID for the given output state name
getOutputStateName(int) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel: Lookup the name for the given output state id
getOutputStateNames() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel: Getter method for the output state Names map
getOutputTempPath() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
getPair() - Method in class org.apache.mahout.common.IntPairWritable.Frequency
getParameters() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
getParameters() - Method in class org.apache.mahout.clustering.AbstractCluster
getParameters() - Method in class org.apache.mahout.common.distance.ChebyshevDistanceMeasure
getParameters() - Method in class org.apache.mahout.common.distance.CosineDistanceMeasure
getParameters() - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
getParameters() - Method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure
getParameters() - Method in class org.apache.mahout.common.distance.MinkowskiDistanceMeasure
getParameters() - Method in class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure
getParameters() - Method in class org.apache.mahout.common.distance.WeightedDistanceMeasure
getParameters() - Method in class org.apache.mahout.common.parameters.AbstractParameter
getParameters() - Method in interface org.apache.mahout.common.parameters.Parametered
getParams() - Method in class org.apache.mahout.ep.State
getPartition(GramKey, Gram, int) - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKeyPartitioner
getPayload() - Method in class org.apache.mahout.ep.State
getPcaMeanPath() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver: Optional.
getPolicy() - Method in class org.apache.mahout.clustering.classify.ClusterClassifier
getPopulation() - Method in class org.apache.mahout.ep.EvolutionaryProcess
getPopulationSize() - Method in class org.apache.mahout.ep.EvolutionaryProcess
getPostProcessedClusterDirectories() - Method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessor
getPrecision() - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics: See Precision.
getPrecision() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
getPrecision(String) - Method in class org.apache.mahout.classifier.ConfusionMatrix
getPredictors() - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory: Returns a list of the names of the predictor variables.
getPredictors() - Method in interface org.apache.mahout.classifier.sgd.RecordFactory
getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getPreferencesForItem(long) - Method in interface org.apache.mahout.cf.taste.model.DataModel
getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getPreferencesFromUser(long) - Method in interface org.apache.mahout.cf.taste.model.DataModel
getPreferenceTime(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getPreferenceTime(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getPreferenceTime(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getPreferenceTime(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
getPreferenceTime(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getPreferenceTime(long, long) - Method in interface org.apache.mahout.cf.taste.model.DataModel: Retrieves the time at which a preference value from a user and item was set, if known.
getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getPreferenceValue(long, long) - Method in interface org.apache.mahout.cf.taste.model.DataModel: Retrieves the preference value for a single user and item.
getPrefValue() - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
getPrefValue() - Method in class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable
getPrimaryLength() - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey
getPrimaryString() - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey
getPrior() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
getPrior() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getPrior() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
getProbes() - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
getProgress() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader: Deprecated.
getProperties() - Method in class org.apache.mahout.clustering.classify.WeightedPropertyVectorWritable
getQ() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
getQuick(int, int) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.Omega: Get omega element at (x,y) uniformly distributed within [-1...1)
getRadius() - Method in class org.apache.mahout.clustering.AbstractCluster
getRadius() - Method in interface org.apache.mahout.clustering.Cluster: Get the "radius" of the Cluster as a Vector.
getRandomSeed(Configuration) - Static method in class org.apache.mahout.classifier.df.mapreduce.Builder: Deprecated.

Returns the random seed
getRawItemData() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel: This is used mostly internally to the framework, and shouldn't be relied upon otherwise.
getRawItemData() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel: This is used mostly internally to the framework, and shouldn't be relied upon otherwise.
getRawUserData() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel: This is used mostly internally to the framework, and shouldn't be relied upon otherwise.
getRawUserData() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel: This is used mostly internally to the framework, and shouldn't be relied upon otherwise.
getReach() - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics
getReach() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
getReadModel() - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer
getRecall() - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics: See Recall.
getRecall() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
getRecall(String) - Method in class org.apache.mahout.classifier.ConfusionMatrix
getRecommendedItems() - Method in class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
getRecommender() - Method in class org.apache.mahout.cf.taste.similarity.precompute.BatchItemSimilarities
getRecord() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getRecord() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
getRelevantItemsIDs(long, int, double, DataModel) - Method in interface org.apache.mahout.cf.taste.eval.RelevantItemsDataSplitter: During testing, relevant items are removed from a particular users' preferences, and a model is build using this user's other preferences and all other users.
getRelevantItemsIDs(long, int, double, DataModel) - Method in class org.apache.mahout.cf.taste.impl.eval.GenericRelevantItemsDataSplitter
getReliability() - Method in class org.apache.mahout.classifier.ConfusionMatrix
getResults() - Method in class org.apache.mahout.classifier.df.mapreduce.Classifier: Deprecated.
getRightSingularVector(int) - Method in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState
getRow() - Method in class org.apache.mahout.clustering.spectral.VertexWritable
getRow() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
getRowIndices() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockWritable
getRowPath() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
getRows() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockWritable
getRTilde() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
getS0() - Method in class org.apache.mahout.clustering.AbstractCluster
getS1() - Method in class org.apache.mahout.clustering.AbstractCluster
getS2() - Method in class org.apache.mahout.clustering.AbstractCluster
getScaleFactor() - Method in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState
getScore() - Method in class org.apache.mahout.classifier.ClassifierResult
getScoreForLabelFeature(int, int) - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier
getScoreForLabelFeature(int, int) - Method in class org.apache.mahout.classifier.naivebayes.ComplementaryNaiveBayesClassifier
getScoreForLabelFeature(int, int) - Method in class org.apache.mahout.classifier.naivebayes.StandardNaiveBayesClassifier
getScoreForLabelInstance(int, Vector) - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier
getSearchSize() - Method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch
getSecond() - Method in class org.apache.mahout.common.IntPairWritable
getSecond() - Method in class org.apache.mahout.common.LongPair
getSecond() - Method in class org.apache.mahout.common.Pair
getSeed() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit: Deprecated.
getSeed() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getSeed() - Method in class org.apache.mahout.vectorizer.encoders.CachingValueEncoder
getSeed() - Method in class org.apache.mahout.vectorizer.encoders.ConstantValueEncoder
getSeed() - Method in class org.apache.mahout.vectorizer.encoders.ContinuousValueEncoder
getSentinelObject() - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.TopSimilarItemsQueue
getSentinelObject() - Method in class org.apache.mahout.cf.taste.hadoop.TopItemsQueue
getSentinelObject() - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.TopElementsQueue
getSimilarItems() - Method in class org.apache.mahout.cf.taste.similarity.precompute.SimilarItems
getSimilarItemsPerItem() - Method in class org.apache.mahout.cf.taste.similarity.precompute.BatchItemSimilarities
getSimilarity() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
getSimilarity() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
getSimilarity() - Method in class org.apache.mahout.cf.taste.similarity.precompute.SimilarItem
getSimilarityColumn() - Method in class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable
getSingleCachedFile(Configuration) - Static method in class org.apache.mahout.common.HadoopUtil: Return the first cached file in the list, else null if thre are no cached files.
getSingularValues() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver: This contains k+p singular values resulted from the solver run.
getSingularValues() - Method in class org.apache.mahout.math.ssvd.SequentialOutOfCoreSvd
getSk() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
getSplit() - Method in class org.apache.mahout.classifier.df.split.Split: Deprecated.
getSplits(JobContext) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat: Deprecated.
getSplits(Configuration, int) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat: Deprecated.
getStandardDeviation() - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverageAndStdDev
getStandardDeviation() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
getStandardDeviation() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
getStandardDeviation() - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverageAndStdDev
getStandardDeviation() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverageAndStdDev
getStd() - Method in interface org.apache.mahout.clustering.GaussianAccumulator
getStd() - Method in class org.apache.mahout.clustering.OnlineGaussianAccumulator
getStd() - Method in class org.apache.mahout.clustering.RunningSumsGaussianAccumulator
getStdDevTime() - Method in class org.apache.mahout.common.TimingStatistics
getStep() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
getStep() - Method in class org.apache.mahout.ep.State
getString() - Method in class org.apache.mahout.classifier.df.node.CategoricalNode: Deprecated.
getString() - Method in class org.apache.mahout.classifier.df.node.Leaf: Deprecated.
getString() - Method in class org.apache.mahout.classifier.df.node.Node: Deprecated.
getString() - Method in class org.apache.mahout.classifier.df.node.NumericalNode: Deprecated.
getString() - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
getStringValue() - Method in class org.apache.mahout.common.parameters.AbstractParameter
getStringValue() - Method in class org.apache.mahout.common.parameters.ClassParameter
getStringValue() - Method in interface org.apache.mahout.common.parameters.Parameter
getSum() - Method in class org.apache.mahout.math.hadoop.stats.VarianceTotals
getSumOfSquares() - Method in class org.apache.mahout.math.hadoop.stats.VarianceTotals
getSumSquaredTime() - Method in class org.apache.mahout.common.TimingStatistics
getSumTime() - Method in class org.apache.mahout.common.TimingStatistics
getT1() - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer: Deprecated.
getT2() - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer: Deprecated.
getT3() - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer: Deprecated.
getT4() - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer: Deprecated.
getTargetCategories() - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
getTargetCategories() - Method in interface org.apache.mahout.classifier.sgd.RecordFactory
getTargetLabel(int) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory: Extract the corresponding raw target label according to a code
getTargetString(CharSequence) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory: Extract the raw target string from a line read from a CSV file.
getTaskId() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable
getTaskItemOrdinal() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable
getTempPath() - Method in class org.apache.mahout.common.AbstractJob
getTempPath(String) - Method in class org.apache.mahout.common.AbstractJob
getTfDirName() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
getThinQtTilde() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
getThreadCount() - Method in class org.apache.mahout.ep.EvolutionaryProcess
getTiming() - Method in class org.apache.mahout.cf.taste.impl.eval.LoadStatistics
getTopElements() - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.TopElementsQueue
getTopItemItemSimilarities(int, Iterator<GenericItemSimilarity.ItemItemSimilarity>) - Static method in class org.apache.mahout.cf.taste.impl.recommender.TopItems: Thanks to tsmorton for suggesting this functionality and writing part of the code.
getTopItems() - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.TopSimilarItemsQueue
getTopItems() - Method in class org.apache.mahout.cf.taste.hadoop.TopItemsQueue
getTopItems(int, LongPrimitiveIterator, IDRescorer, TopItems.Estimator<Long>) - Static method in class org.apache.mahout.cf.taste.impl.recommender.TopItems
getTopLevelClusterPath(Path) - Static method in class org.apache.mahout.clustering.topdown.PathDirectory: All output of top level clustering is stored in output directory/topLevelCluster.
getTopUsers(int, LongPrimitiveIterator, IDRescorer, TopItems.Estimator<Long>) - Static method in class org.apache.mahout.cf.taste.impl.recommender.TopItems
getTopUserUserSimilarities(int, Iterator<GenericUserSimilarity.UserUserSimilarity>) - Static method in class org.apache.mahout.cf.taste.impl.recommender.TopItems
getTotal(String) - Method in class org.apache.mahout.classifier.ConfusionMatrix
getTotalCount() - Method in class org.apache.mahout.math.hadoop.stats.VarianceTotals
getTotalObservations() - Method in class org.apache.mahout.clustering.AbstractCluster
getTotalObservations() - Method in interface org.apache.mahout.clustering.Model: Return the number of observations that this model has seen over its lifetime
getTotalWeight() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
getTraceDictionary() - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
getTraceDictionary() - Method in interface org.apache.mahout.classifier.sgd.RecordFactory
getTransitionMatrix() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel: Getter function to get the hidden state transition matrix
getTree() - Method in class org.apache.mahout.classifier.df.mapreduce.MapredOutput: Deprecated.
getTreeBuilder(Configuration) - Static method in class org.apache.mahout.classifier.df.mapreduce.Builder: Deprecated.
getTreeBuilder() - Method in class org.apache.mahout.classifier.df.mapreduce.MapredMapper: Deprecated.
getType() - Method in class org.apache.mahout.classifier.df.node.CategoricalNode: Deprecated.
getType() - Method in class org.apache.mahout.classifier.df.node.Leaf: Deprecated.
getType() - Method in class org.apache.mahout.classifier.df.node.Node: Deprecated.
getType() - Method in class org.apache.mahout.classifier.df.node.NumericalNode: Deprecated.
getType() - Method in class org.apache.mahout.clustering.spectral.VertexWritable
getType() - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
getType() - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey
getuHalfSigmaPath() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
getUPath() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver: returns U path (if computation were requested and successful).
getUserFeatures(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
getUserID() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
getUserID(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
getUserID() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanPreference
getUserID(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
getUserID(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
getUserID() - Method in class org.apache.mahout.cf.taste.impl.model.GenericPreference
getUserID(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
getUserID() - Method in interface org.apache.mahout.cf.taste.model.Preference
getUserID(int) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
getUserID1() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
getUserID2() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
getUserIDMappingKeys() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
getUserIDMappings() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
getUserIds() - Method in class org.apache.mahout.cf.taste.hadoop.item.IDReader
getUserIDs() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable
getUserIDs() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getUserIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getUserIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getUserIDs() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
getUserIDs() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getUserIDs() - Method in interface org.apache.mahout.cf.taste.model.DataModel
getUserInstance() - Static method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
getUserNeighborhood(long) - Method in class org.apache.mahout.cf.taste.impl.neighborhood.CachingUserNeighborhood
getUserNeighborhood(long) - Method in class org.apache.mahout.cf.taste.impl.neighborhood.NearestNUserNeighborhood
getUserNeighborhood(long) - Method in class org.apache.mahout.cf.taste.impl.neighborhood.ThresholdUserNeighborhood
getUserNeighborhood(long) - Method in interface org.apache.mahout.cf.taste.neighborhood.UserNeighborhood
getUserUserPairInstance() - Static method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
getuSigmaPath() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
getVal() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
getValue() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
getValue() - Method in class org.apache.mahout.cf.taste.hadoop.MutableRecommendedItem
getValue(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
getValue() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanPreference
getValue(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
getValue(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
getValue() - Method in class org.apache.mahout.cf.taste.impl.model.GenericPreference
getValue(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
getValue() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem
getValue() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
getValue() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
getValue() - Method in interface org.apache.mahout.cf.taste.model.Preference
getValue(int) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
getValue() - Method in interface org.apache.mahout.cf.taste.recommender.RecommendedItem: A value expressing the strength of the preference for the recommended item.
getValue() - Method in class org.apache.mahout.clustering.iterator.ClusteringPolicyWritable
getValue() - Method in class org.apache.mahout.clustering.iterator.ClusterWritable
getValue() - Method in class org.apache.mahout.clustering.spectral.IntDoublePairWritable
getValue() - Method in class org.apache.mahout.clustering.spectral.VertexWritable
getValue() - Method in class org.apache.mahout.ep.State
getValueClass() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileIterator
getValueClass() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileValueIterator
getValues() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable
getVariance() - Method in interface org.apache.mahout.clustering.GaussianAccumulator
getVariance() - Method in class org.apache.mahout.clustering.OnlineGaussianAccumulator
getVariance() - Method in class org.apache.mahout.clustering.RunningSumsGaussianAccumulator
getVector() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable
getVector() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
getVector() - Method in class org.apache.mahout.clustering.classify.WeightedVectorWritable
getVector() - Method in class org.apache.mahout.math.MultiLabelVectorWritable
getvHalfSigmaPath() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
getVPath() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver: return V path ( if computation was requested and successful ) .
getvSigmaPath() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
getWeight() - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight
getWeight(int) - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight
getWeight() - Method in class org.apache.mahout.clustering.classify.WeightedVectorWritable
getWeight(byte[], double) - Method in class org.apache.mahout.vectorizer.encoders.AdaptiveWordValueEncoder
getWeight(byte[], double) - Method in class org.apache.mahout.vectorizer.encoders.ConstantValueEncoder
getWeight(byte[], double) - Method in class org.apache.mahout.vectorizer.encoders.ContinuousValueEncoder
getWeight(byte[], double) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
getWeight(byte[], byte[], double) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder
getWeight(byte[], double) - Method in class org.apache.mahout.vectorizer.encoders.WordValueEncoder
getWeightedF1score() - Method in class org.apache.mahout.classifier.ConfusionMatrix
getWeightedPrecision() - Method in class org.apache.mahout.classifier.ConfusionMatrix
getWeightedRecall() - Method in class org.apache.mahout.classifier.ConfusionMatrix
getWeights() - Method in class org.apache.mahout.common.distance.WeightedDistanceMeasure
givens(double, double, double[]) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
GivensThinSolver - Class in org.apache.mahout.math.hadoop.stochasticsvd.qr: Givens Thin solver.
GivensThinSolver(int, int) - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
GlobalOnlineAuc - Class in org.apache.mahout.math.stats: Computes a running estimate of AUC (see http://en.wikipedia.org/wiki/Receiver_operating_characteristic).
GlobalOnlineAuc() - Constructor for class org.apache.mahout.math.stats.GlobalOnlineAuc
Gradient - Interface in org.apache.mahout.classifier.sgd: Provides the ability to inject a gradient into the SGD logistic regresion.
GradientMachine - Class in org.apache.mahout.classifier.sgd: Online gradient machine learner that tries to minimize the label ranking hinge loss.
GradientMachine(int, int, int) - Constructor for class org.apache.mahout.classifier.sgd.GradientMachine
Gram - Class in org.apache.mahout.vectorizer.collocations.llr: Writable for holding data generated from the collocation discovery jobs.
Gram() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.Gram
Gram(Gram) - Constructor for class org.apache.mahout.vectorizer.collocations.llr.Gram: Copy constructor
Gram(String, Gram.Type) - Constructor for class org.apache.mahout.vectorizer.collocations.llr.Gram: Create an gram with a frequency of 1
Gram(String, int, Gram.Type) - Constructor for class org.apache.mahout.vectorizer.collocations.llr.Gram: Create a gram with the specified frequency.
Gram.Type - Enum in org.apache.mahout.vectorizer.collocations.llr
GramKey - Class in org.apache.mahout.vectorizer.collocations.llr: A GramKey, based on the identity fields of Gram (type, string) plus a byte[] used for secondary ordering
GramKey() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.GramKey
GramKey(Gram, byte[]) - Constructor for class org.apache.mahout.vectorizer.collocations.llr.GramKey: create a GramKey based on the specified Gram and order
GramKeyPartitioner - Class in org.apache.mahout.vectorizer.collocations.llr: Partition GramKeys based on their Gram, ignoring the secondary sort key so that all GramKeys with the same gram are sent to the same partition.
GramKeyPartitioner() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.GramKeyPartitioner
GramSchmidt - Class in org.apache.mahout.math.hadoop.stochasticsvd.qr: Gram Schmidt quick helper.
greaterOrEquals(int, double) - Static method in class org.apache.mahout.classifier.df.data.conditions.Condition: Deprecated.

Condition that checks if the given attribute has a value "greater or equal" than the given value
GreaterOrEquals - Class in org.apache.mahout.classifier.df.data.conditions: Deprecated.
GreaterOrEquals(int, double) - Constructor for class org.apache.mahout.classifier.df.data.conditions.GreaterOrEquals: Deprecated.
GroupedOnlineAuc - Class in org.apache.mahout.math.stats: Implements a variant on AUC where the result returned is an average of several AUC measurements made on sub-groups of the overall data.
GroupedOnlineAuc() - Constructor for class org.apache.mahout.math.stats.GroupedOnlineAuc

H

HadoopUtil - Class in org.apache.mahout.common
hammingDistance(long) - Method in class org.apache.mahout.math.neighborhood.HashedVector
hash(String) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractIDMigrator
hash(WeightedVector, Matrix) - Static method in class org.apache.mahout.math.neighborhood.HashedVector
hash(WeightedVector, Matrix, long) - Static method in class org.apache.mahout.math.neighborhood.HashedVector
hash(String, int, int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder: Hash a string and an integer into the range [0..numFeatures-1].
hash(byte[], int, int) - Static method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder: Hash a byte array and an integer into the range [0..numFeatures-1].
hash(String, String, int, int) - Static method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder: Hash two strings and an integer into the range [0..numFeatures-1].
hash(byte[], byte[], int, int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder: Hash two byte arrays and an integer into the range [0..numFeatures-1].
hash(String, String, String, String, int, int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder: Hash four strings and an integer into the range [0..numFeatures-1].
hashCode() - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
hashCode() - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
hashCode() - Method in class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable
hashCode() - Method in class org.apache.mahout.cf.taste.hadoop.MutableRecommendedItem
hashCode() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
hashCode() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
hashCode() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
hashCode() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
hashCode() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
hashCode() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
hashCode() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
hashCode() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem
hashCode() - Method in class org.apache.mahout.cf.taste.impl.recommender.SimilarUser
hashCode() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
hashCode() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
hashCode() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
hashCode() - Method in class org.apache.mahout.classifier.df.data.Data: Deprecated.
hashCode() - Method in class org.apache.mahout.classifier.df.data.Dataset: Deprecated.
hashCode() - Method in class org.apache.mahout.classifier.df.data.Instance: Deprecated.
hashCode() - Method in class org.apache.mahout.classifier.df.DecisionForest: Deprecated.
hashCode() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit: Deprecated.
hashCode() - Method in class org.apache.mahout.classifier.df.mapreduce.MapredOutput: Deprecated.
hashCode() - Method in class org.apache.mahout.classifier.df.node.CategoricalNode: Deprecated.
hashCode() - Method in class org.apache.mahout.classifier.df.node.Leaf: Deprecated.
hashCode() - Method in class org.apache.mahout.classifier.df.node.NumericalNode: Deprecated.
hashCode() - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight
hashCode() - Method in class org.apache.mahout.clustering.streaming.mapreduce.CentroidWritable
hashCode() - Method in class org.apache.mahout.common.IntegerTuple
hashCode() - Method in class org.apache.mahout.common.IntPairWritable.Frequency
hashCode() - Method in class org.apache.mahout.common.IntPairWritable
hashCode() - Method in class org.apache.mahout.common.LongPair
hashCode() - Method in class org.apache.mahout.common.Pair
hashCode() - Method in class org.apache.mahout.common.StringTuple
hashCode() - Method in class org.apache.mahout.ep.State
hashCode() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
hashCode() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable
hashCode() - Method in class org.apache.mahout.math.neighborhood.HashedVector
HashedVector - Class in org.apache.mahout.math.neighborhood: Decorates a weighted vector with a locality sensitive hash.
HashedVector(Vector, long, int) - Constructor for class org.apache.mahout.math.neighborhood.HashedVector
HashedVector(Vector, Matrix, int, long) - Constructor for class org.apache.mahout.math.neighborhood.HashedVector
HashedVector(WeightedVector, Matrix, long) - Constructor for class org.apache.mahout.math.neighborhood.HashedVector
hashesForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder: Returns all of the hashes for this probe.
hashesForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder
hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.CachingContinuousValueEncoder
hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.CachingStaticWordValueEncoder
hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.CachingValueEncoder
hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder: Provides the unique hash for a particular probe.
hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder
hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.StaticWordValueEncoder
hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder
hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.WordValueEncoder
hasNext() - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
hasNext() - Method in class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
hasNext() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRLastStep
hasOption(String) - Method in class org.apache.mahout.common.AbstractJob
hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
hasPreferenceValues() - Method in interface org.apache.mahout.cf.taste.model.DataModel
hasPrefWithItemID(long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
hasPrefWithItemID(long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
hasPrefWithItemID(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
hasPrefWithItemID(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
hasPrefWithItemID(long) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
hasPrefWithUserID(long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
hasPrefWithUserID(long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
hasPrefWithUserID(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
hasPrefWithUserID(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
hasPrefWithUserID(long) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
HdfsBackedLanczosState - Class in org.apache.mahout.math.hadoop.decomposer
HdfsBackedLanczosState(VectorIterable, int, Vector, Path) - Constructor for class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState
help(Parametered) - Static method in class org.apache.mahout.common.parameters.Parametered.ParameteredGeneralizations
helpOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator: Returns a default command line option for help.
hiddenToOutput(Vector) - Method in class org.apache.mahout.classifier.sgd.GradientMachine: Feeds forward from hidden to output
HighDFWordsPruner - Class in org.apache.mahout.vectorizer
HISTORY - Static variable in class org.apache.mahout.math.stats.GlobalOnlineAuc
HmmAlgorithms - Class in org.apache.mahout.classifier.sequencelearning.hmm: Class containing implementations of the three major HMM algorithms: forward, backward and Viterbi
HmmEvaluator - Class in org.apache.mahout.classifier.sequencelearning.hmm: The HMMEvaluator class offers several methods to evaluate an HMM Model.
HmmModel - Class in org.apache.mahout.classifier.sequencelearning.hmm: Main class defining a Hidden Markov Model
HmmModel(int, int, long) - Constructor for class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel: Construct a valid random Hidden-Markov parameter set with the given number of hidden and output states using a given seed.
HmmModel(int, int) - Constructor for class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel: Construct a valid random Hidden-Markov parameter set with the given number of hidden and output states.
HmmModel(Matrix, Matrix, Vector) - Constructor for class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel: Generates a Hidden Markov model using the specified parameters
HmmTrainer - Class in org.apache.mahout.classifier.sequencelearning.hmm: Class containing several algorithms used to train a Hidden Markov Model.
HmmUtils - Class in org.apache.mahout.classifier.sequencelearning.hmm: A collection of utilities for handling HMMModel objects.

I

identicalLabel() - Method in class org.apache.mahout.classifier.df.data.Data: Deprecated.

checks if all the vectors have identical label values
identity() - Static method in class org.apache.mahout.ep.Mapping: Maps results to themselves.
Identity() - Constructor for class org.apache.mahout.ep.Mapping.Identity
IDMigrator - Interface in org.apache.mahout.cf.taste.model: Mahout 0.2 changed the framework to operate only in terms of numeric (long) ID values for users and items.
IDReader - Class in org.apache.mahout.cf.taste.hadoop.item: Reads user ids and item ids from files specified in usersFile, itemsFile or userItemFile options in item-based recommender.
IDReader(Configuration) - Constructor for class org.apache.mahout.cf.taste.hadoop.item.IDReader: Creates a new IDReader
IDRescorer - Interface in org.apache.mahout.cf.taste.recommender: A Rescorer which operates on long primitive IDs, rather than arbitrary Objects.
idToIndex(long) - Static method in class org.apache.mahout.cf.taste.hadoop.TasteHadoopUtils: Maps a long to an int with range of 0 to Integer.MAX_VALUE-1
IGNORE_WEIGHTS - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver: Whether to correct the weights of the centroids after the clustering is done.
IgSplit - Class in org.apache.mahout.classifier.df.split: Deprecated.
IgSplit() - Constructor for class org.apache.mahout.classifier.df.split.IgSplit: Deprecated.
IKernelProfile - Interface in org.apache.mahout.clustering.kernel
includeBiasTerm(boolean) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
includeBiasTerm(boolean) - Method in interface org.apache.mahout.classifier.sgd.RecordFactory
incrementCount(String, String, int) - Method in class org.apache.mahout.classifier.ConfusionMatrix
incrementCount(String, String) - Method in class org.apache.mahout.classifier.ConfusionMatrix
incrementFrequency(int) - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
incrementItemOrdinal() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable
incrementToken() - Method in class org.apache.mahout.common.lucene.IteratorTokenStream
index() - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.MutableElement
IndexInstancesMapper - Class in org.apache.mahout.classifier.naivebayes.training
IndexInstancesMapper() - Constructor for class org.apache.mahout.classifier.naivebayes.training.IndexInstancesMapper
infer(Vector, Vector) - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
inferPreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.AveragingPreferenceInferrer
inferPreference(long, long) - Method in interface org.apache.mahout.cf.taste.similarity.PreferenceInferrer: Infers the given user's preference value for an item.
INITIAL_CLUSTERS_DIR - Static variable in interface org.apache.mahout.clustering.Cluster
initialize(Iterable<String>) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator
initialize(Iterable<String>) - Method in class org.apache.mahout.cf.taste.impl.model.MemoryIDMigrator
initialize() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer
initialize(Iterable<String>) - Method in interface org.apache.mahout.cf.taste.model.UpdatableIDMigrator: Make the mapping aware of the given string IDs.
initialize(InputSplit, TaskAttemptContext) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader: Deprecated.
initWeights(Random) - Method in class org.apache.mahout.classifier.sgd.GradientMachine: Initialize weights.
InMemBuilder - Class in org.apache.mahout.classifier.df.mapreduce.inmem: Deprecated.
InMemBuilder(TreeBuilder, Path, Path, Long, Configuration) - Constructor for class org.apache.mahout.classifier.df.mapreduce.inmem.InMemBuilder: Deprecated.
InMemBuilder(TreeBuilder, Path, Path) - Constructor for class org.apache.mahout.classifier.df.mapreduce.inmem.InMemBuilder: Deprecated.
InMemInputFormat - Class in org.apache.mahout.classifier.df.mapreduce.inmem: Deprecated.
InMemInputFormat() - Constructor for class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat: Deprecated.
InMemInputFormat.InMemInputSplit - Class in org.apache.mahout.classifier.df.mapreduce.inmem: Deprecated.

Custom InputSplit that indicates how many trees are built by each mapper
InMemInputFormat.InMemRecordReader - Class in org.apache.mahout.classifier.df.mapreduce.inmem: Deprecated.
InMemInputSplit() - Constructor for class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit: Deprecated.
InMemInputSplit(int, int, Long) - Constructor for class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit: Deprecated.
InMemMapper - Class in org.apache.mahout.classifier.df.mapreduce.inmem: Deprecated.
InMemMapper() - Constructor for class org.apache.mahout.classifier.df.mapreduce.inmem.InMemMapper: Deprecated.
InMemoryCollapsedVariationalBayes0 - Class in org.apache.mahout.clustering.lda.cvb: Runs the same algorithm as CVB0Driver, but sequentially, in memory.
InMemoryCollapsedVariationalBayes0(Matrix, String[], int, double, double, int, int, double) - Constructor for class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0
InMemRecordReader(InMemInputFormat.InMemInputSplit) - Constructor for class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader: Deprecated.
INPUT_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
INPUT_VECTOR - Static variable in class org.apache.mahout.math.hadoop.TimesSquaredJob
inputFile - Variable in class org.apache.mahout.common.AbstractJob
inputOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator: Returns a default command line option for input directory specification.
inputPath - Variable in class org.apache.mahout.common.AbstractJob: input path, populated by AbstractJob.parseArguments(String[])
inputToHidden(Vector) - Method in class org.apache.mahout.classifier.sgd.GradientMachine: Feeds forward from input to hidden unit..
Instance - Class in org.apache.mahout.classifier.df.data: Deprecated.
Instance(Vector) - Constructor for class org.apache.mahout.classifier.df.data.Instance: Deprecated.
instantiateAs(String, Class<T>) - Static method in class org.apache.mahout.common.ClassUtils
instantiateAs(String, Class<T>, Class<?>[], Object[]) - Static method in class org.apache.mahout.common.ClassUtils
instantiateAs(Class<? extends T>, Class<T>, Class<?>[], Object[]) - Static method in class org.apache.mahout.common.ClassUtils
instantiateAs(Class<? extends T>, Class<T>) - Static method in class org.apache.mahout.common.ClassUtils
IntDoublePairWritable - Class in org.apache.mahout.clustering.spectral: This class is a Writable implementation of the mahout.common.Pair generic class.
IntDoublePairWritable() - Constructor for class org.apache.mahout.clustering.spectral.IntDoublePairWritable
IntDoublePairWritable(int, double) - Constructor for class org.apache.mahout.clustering.spectral.IntDoublePairWritable
integerAt(int) - Method in class org.apache.mahout.common.IntegerTuple: Fetches the string at the given location
IntegerTuple - Class in org.apache.mahout.common: An Ordered List of Integers which can be used in a Hadoop Map/Reduce Job
IntegerTuple() - Constructor for class org.apache.mahout.common.IntegerTuple
IntegerTuple(Integer) - Constructor for class org.apache.mahout.common.IntegerTuple
IntegerTuple(Iterable<Integer>) - Constructor for class org.apache.mahout.common.IntegerTuple
IntegerTuple(Integer[]) - Constructor for class org.apache.mahout.common.IntegerTuple
InteractionValueEncoder - Class in org.apache.mahout.vectorizer.encoders
InteractionValueEncoder(String, FeatureVectorEncoder, FeatureVectorEncoder) - Constructor for class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder
intern(String) - Method in class org.apache.mahout.vectorizer.encoders.Dictionary
intersectionSize(FastIDSet) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet: Convenience method to quickly compute just the size of the intersection with another FastIDSet.
IntPairWritable - Class in org.apache.mahout.common: A WritableComparable which encapsulates an ordered pair of signed integers.
IntPairWritable() - Constructor for class org.apache.mahout.common.IntPairWritable
IntPairWritable(IntPairWritable) - Constructor for class org.apache.mahout.common.IntPairWritable
IntPairWritable(int, int) - Constructor for class org.apache.mahout.common.IntPairWritable
IntPairWritable.Comparator - Class in org.apache.mahout.common
IntPairWritable.FirstGroupingComparator - Class in org.apache.mahout.common: Compare only the first part of the pair, so that reduce is called once for each value of the first part.
IntPairWritable.Frequency - Class in org.apache.mahout.common: A wrapper class that associates pairs with frequency (Occurrences)
INVALID_DISTANCE_CUTOFF - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver
INVALID_INDEX - Static variable in class org.apache.mahout.math.neighborhood.HashedVector
inverse() - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage
inverse() - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverageAndStdDev
inverse() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
inverse() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
inverse() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage
inverse() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
inverse() - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverage
inverse() - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverageAndStdDev
inverse() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
inverse() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverageAndStdDev
invertDictionary(OpenObjectIntHashMap<String>) - Static method in class org.apache.mahout.math.MatrixUtils
InvertedRunningAverage - Class in org.apache.mahout.cf.taste.impl.common
InvertedRunningAverage(RunningAverage) - Constructor for class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage
InvertedRunningAverageAndStdDev - Class in org.apache.mahout.cf.taste.impl.common
InvertedRunningAverageAndStdDev(RunningAverageAndStdDev) - Constructor for class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
IRStatistics - Interface in org.apache.mahout.cf.taste.eval: Implementations encapsulate information retrieval-related statistics about a Recommender's recommendations.
IRStatisticsImpl - Class in org.apache.mahout.cf.taste.impl.eval
IS_SPARSE_OUTPUT - Static variable in class org.apache.mahout.math.hadoop.TimesSquaredJob
isBroadcast() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
isCategorical() - Method in enum org.apache.mahout.classifier.df.data.Dataset.Attribute: Deprecated.
isComplemtary() - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
isConverged() - Method in class org.apache.mahout.clustering.AbstractCluster
isConverged() - Method in interface org.apache.mahout.clustering.Cluster
isConverged() - Method in class org.apache.mahout.clustering.kmeans.Kluster
isEmpty() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
isEmpty() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
isEmpty() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
isEmpty() - Method in class org.apache.mahout.classifier.df.data.Data: Deprecated.
isFiltered(T) - Method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
isFiltered(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
isFiltered(long) - Method in interface org.apache.mahout.cf.taste.recommender.IDRescorer: Returns true to exclude the given thing.
isFiltered(T) - Method in interface org.apache.mahout.cf.taste.recommender.Rescorer: Returns true to exclude the given thing.
isFull() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
isIdentical() - Method in class org.apache.mahout.classifier.df.data.Data: Deprecated.

checks if all the vectors have identical attribute values
isIgnored() - Method in enum org.apache.mahout.classifier.df.data.Dataset.Attribute: Deprecated.
isItemsFileSpecified() - Method in class org.apache.mahout.cf.taste.hadoop.item.IDReader
isLabel() - Method in enum org.apache.mahout.classifier.df.data.Dataset.Attribute: Deprecated.
isLogNormalize() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
isNamedVectors() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
isNumerical() - Method in enum org.apache.mahout.classifier.df.data.Dataset.Attribute: Deprecated.
isNumerical(int) - Method in class org.apache.mahout.classifier.df.data.Dataset: Deprecated.

Is this a numerical attribute ?
isOrthonormal(double[][], boolean, double) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
isOrthonormalBlocked(Iterable<double[][]>, boolean, double) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
isOutput(Configuration) - Static method in class org.apache.mahout.classifier.df.mapreduce.Builder: Deprecated.

Used only for DEBUG purposes.
isOutput() - Method in class org.apache.mahout.classifier.df.mapreduce.MapredMapper: Deprecated.
isOverwrite() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
isProbabilityScore() - Method in class org.apache.mahout.classifier.evaluation.Auc
isSealed() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
isSequentialAccess() - Method in class org.apache.mahout.vectorizer.VectorizerConfig
isTraceEnabled() - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
isTrueFor(Instance) - Method in class org.apache.mahout.classifier.df.data.conditions.Condition: Deprecated.

Returns true is the checked instance matches the condition
isTrueFor(Instance) - Method in class org.apache.mahout.classifier.df.data.conditions.Equals: Deprecated.
isTrueFor(Instance) - Method in class org.apache.mahout.classifier.df.data.conditions.GreaterOrEquals: Deprecated.
isTrueFor(Instance) - Method in class org.apache.mahout.classifier.df.data.conditions.Lesser: Deprecated.
isUserItemFileSpecified() - Method in class org.apache.mahout.cf.taste.hadoop.item.IDReader
isUserItemFilterSpecified() - Method in class org.apache.mahout.cf.taste.hadoop.item.IDReader
isUsersFileSpecified() - Method in class org.apache.mahout.cf.taste.hadoop.item.IDReader
ITEM_BIAS_INDEX - Static variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer: place in item vector where the bias is stored
ITEM_ID_INDEX_PATH_STR - Static variable in class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob
ITEM_ID_POS - Static variable in class org.apache.mahout.cf.taste.hadoop.TasteHadoopUtils
ItemAverageRecommender - Class in org.apache.mahout.cf.taste.impl.recommender: A simple recommender that always estimates preference for an item to be the average of all known preference values for that item.
ItemAverageRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
ItemBasedRecommender - Interface in org.apache.mahout.cf.taste.recommender: Interface implemented by "item-based" recommenders.
itemFeaturesMapping(LongPrimitiveIterator, int, double[][]) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ALSWRFactorizer
ItemFilterAsVectorAndPrefsReducer - Class in org.apache.mahout.cf.taste.hadoop.item: we use a neat little trick to explicitly filter items for some users: we inject a NaN summand into the preference estimation for those items, which makes AggregateAndRecommendReducer automatically exclude them
ItemFilterAsVectorAndPrefsReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.ItemFilterAsVectorAndPrefsReducer
ItemFilterMapper - Class in org.apache.mahout.cf.taste.hadoop.item: map out all user/item pairs to filter, keyed by the itemID
ItemFilterMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.ItemFilterMapper
ITEMID_INDEX - Static variable in class org.apache.mahout.cf.taste.hadoop.preparation.PreparePreferenceMatrixJob
ItemIDIndexMapper - Class in org.apache.mahout.cf.taste.hadoop.item
ItemIDIndexMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.ItemIDIndexMapper
ItemIDIndexReducer - Class in org.apache.mahout.cf.taste.hadoop.item
ItemIDIndexReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.ItemIDIndexReducer
itemIndex(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.AbstractFactorizer
itemIndex(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
ItemItemSimilarity(long, long, double) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
itemSimilarities(long, long[]) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity
itemSimilarities(long, long[]) - Method in class org.apache.mahout.cf.taste.impl.similarity.CityBlockSimilarity
itemSimilarities(long, long[]) - Method in class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity
itemSimilarities(long, long[]) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity
itemSimilarities(long, long[]) - Method in class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity
itemSimilarities(long, long[]) - Method in class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity
itemSimilarities(long, long[]) - Method in interface org.apache.mahout.cf.taste.similarity.ItemSimilarity: A bulk-get version of ItemSimilarity.itemSimilarity(long, long).
itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity
itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.CityBlockSimilarity
itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity
itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity: Returns the similarity between two items.
itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity
itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity
ItemSimilarity - Interface in org.apache.mahout.cf.taste.similarity: Implementations of this interface define a notion of similarity between two items.
itemSimilarity(long, long) - Method in interface org.apache.mahout.cf.taste.similarity.ItemSimilarity: Returns the degree of similarity, of two items, based on the preferences that users have expressed for the items.
ItemSimilarityJob - Class in org.apache.mahout.cf.taste.hadoop.similarity.item: Distributed precomputation of the item-item-similarities for Itembased Collaborative Filtering
ItemSimilarityJob() - Constructor for class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob
ItemSimilarityJob.MostSimilarItemPairsMapper - Class in org.apache.mahout.cf.taste.hadoop.similarity.item
ItemSimilarityJob.MostSimilarItemPairsReducer - Class in org.apache.mahout.cf.taste.hadoop.similarity.item
ItemUserAverageRecommender - Class in org.apache.mahout.cf.taste.impl.recommender: Like ItemAverageRecommender, except that estimated preferences are adjusted for the users' average preference value.
ItemUserAverageRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
itemVectors - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer: item features
itemVectors - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer: Item features
iterate(Iterable<Vector>, ClusterClassifier, int) - Static method in class org.apache.mahout.clustering.iterator.ClusterIterator: Iterate over data using a prior-trained ClusterClassifier, for a number of iterations
iterateAll() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
iterateMR(Configuration, Path, Path, Path, int) - Static method in class org.apache.mahout.clustering.iterator.ClusterIterator: Iterate over data using a prior-trained ClusterClassifier, for a number of iterations using a mapreduce implementation
iterateNonEmpty() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
iterateSeq(Configuration, Path, Path, Path, int) - Static method in class org.apache.mahout.clustering.iterator.ClusterIterator: Iterate over data using a prior-trained ClusterClassifier, for a number of iterations using a sequential implementation
iterateUntilConvergence(double, int, int) - Method in class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0
iterateUntilConvergence(double, int, int, double) - Method in class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0
ITERATION_BLOCK_SIZE - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
iterator() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
iterator() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
iterator() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
iterator() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
iterator() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
iterator() - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
iterator() - Method in class org.apache.mahout.clustering.streaming.cluster.BallKMeans
iterator() - Method in class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans
iterator() - Method in class org.apache.mahout.common.iterator.FileLineIterable
iterator() - Method in class org.apache.mahout.common.iterator.SamplingIterable
iterator() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirIterable
iterator() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirValueIterable
iterator() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileIterable
iterator() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileValueIterable
iterator() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
iterator() - Method in class org.apache.mahout.math.neighborhood.BruteSearch
iterator() - Method in class org.apache.mahout.math.neighborhood.FastProjectionSearch: This iterates on the snapshot of the contents first instantiated regardless of any future modifications.
iterator() - Method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch
iterator() - Method in class org.apache.mahout.math.neighborhood.ProjectionSearch
IteratorTokenStream - Class in org.apache.mahout.common.lucene: Used to emit tokens from an input string array in the style of TokenStream
IteratorTokenStream(Iterator<String>) - Constructor for class org.apache.mahout.common.lucene.IteratorTokenStream

J

JDBCDataModel - Interface in org.apache.mahout.cf.taste.model
job() - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver: Deprecated.
job() - Method in class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver

K

K - Static variable in class org.apache.mahout.clustering.kmeans.RandomSeedGenerator
K - Static variable in class org.apache.mahout.clustering.spectral.kmeans.EigenSeedGenerator
KEEP_TEMP_FILES - Static variable in class org.apache.mahout.math.hadoop.DistributedRowMatrix
KERNEL_PROFILE_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
kernelProfileOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
keyFor(String) - Static method in class org.apache.mahout.common.AbstractJob: Build the option key (--name) from the option name
Keys - Class in org.apache.mahout.clustering.spectral
keySet() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
keySetIterator() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
Kluster - Class in org.apache.mahout.clustering.kmeans
Kluster() - Constructor for class org.apache.mahout.clustering.kmeans.Kluster: For (de)serialization as a Writable
Kluster(Vector, int, DistanceMeasure) - Constructor for class org.apache.mahout.clustering.kmeans.Kluster: Construct a new cluster with the given point as its center
KMeansClusteringPolicy - Class in org.apache.mahout.clustering.iterator: This is a simple maximum likelihood clustering policy, suitable for k-means clustering
KMeansClusteringPolicy() - Constructor for class org.apache.mahout.clustering.iterator.KMeansClusteringPolicy
KMeansClusteringPolicy(double) - Constructor for class org.apache.mahout.clustering.iterator.KMeansClusteringPolicy
KMeansDriver - Class in org.apache.mahout.clustering.kmeans
KMeansDriver() - Constructor for class org.apache.mahout.clustering.kmeans.KMeansDriver

L

L1 - Class in org.apache.mahout.classifier.sgd: Implements the Laplacian or bi-exponential prior.
L1() - Constructor for class org.apache.mahout.classifier.sgd.L1
L2 - Class in org.apache.mahout.classifier.sgd: Implements the Gaussian prior.
L2(double) - Constructor for class org.apache.mahout.classifier.sgd.L2
L2() - Constructor for class org.apache.mahout.classifier.sgd.L2
LABEL_THETA_NORMALIZER - Static variable in class org.apache.mahout.classifier.naivebayes.training.TrainNaiveBayesJob
labelCode(String) - Method in class org.apache.mahout.classifier.df.data.Dataset: Deprecated.

Returns the code used to represent the label value in the data
labels() - Method in class org.apache.mahout.classifier.df.data.Dataset: Deprecated.
labelWeight(int) - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
labelWeight(int) - Method in class org.apache.mahout.classifier.naivebayes.training.ComplementaryThetaTrainer
lambda(double) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression: Chainable configuration option.
lambda(double) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
lambda(double) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
lastTaskId - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer
lastTaskId - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer
Leaf - Class in org.apache.mahout.classifier.df.node: Deprecated.
Leaf(double) - Constructor for class org.apache.mahout.classifier.df.node.Leaf: Deprecated.
learningRate - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer: Learning rate (step size)
learningRate(double) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
learningRate(double) - Method in class org.apache.mahout.classifier.sgd.GradientMachine: Chainable configuration option.
learningRate(double) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression: Chainable configuration option.
learningRate(double) - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive: Chainable configuration option.
learningRateDecay - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer: Multiplicative decay factor for learning_rate
length() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
length() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
length() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
length() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
length() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
length() - Method in class org.apache.mahout.common.IntegerTuple: Returns the length of the tuple
length() - Method in class org.apache.mahout.common.StringTuple: Returns the length of the tuple
lesser(int, double) - Static method in class org.apache.mahout.classifier.df.data.conditions.Condition: Deprecated.

Condition that checks if the given attribute has a value "lesser" than the given value
Lesser - Class in org.apache.mahout.classifier.df.data.conditions: Deprecated.
Lesser(int, double) - Constructor for class org.apache.mahout.classifier.df.data.conditions.Lesser: Deprecated.
lessThan(SimilarItem, SimilarItem) - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.TopSimilarItemsQueue
lessThan(MutableRecommendedItem, MutableRecommendedItem) - Method in class org.apache.mahout.cf.taste.hadoop.TopItemsQueue
lessThan(MutableElement, MutableElement) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.TopElementsQueue
link(Vector) - Static method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression: Computes the inverse link function, by default the logistic link function.
link(double) - Static method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression: Computes the binomial logistic inverse link function.
list() - Static method in enum org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.VectorSimilarityMeasures
listOutputFiles(FileSystem, Path) - Static method in class org.apache.mahout.classifier.df.DFUtils: Deprecated.

Return a list of all files in the output directory
listStatus(FileSystem, Path) - Static method in class org.apache.mahout.common.HadoopUtil
listStatus(FileSystem, Path, PathFilter) - Static method in class org.apache.mahout.common.HadoopUtil
LLRReducer - Class in org.apache.mahout.vectorizer.collocations.llr: Reducer for pass 2 of the collocation discovery job.
LLRReducer() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.LLRReducer
LLRReducer.ConcreteLLCallback - Class in org.apache.mahout.vectorizer.collocations.llr: concrete implementation delegates to LogLikelihood class
LLRReducer.LLCallback - Interface in org.apache.mahout.vectorizer.collocations.llr: provide interface so the input to the llr calculation can be captured for validation in unit testing
LLRReducer.Skipped - Enum in org.apache.mahout.vectorizer.collocations.llr: Counter to track why a particlar entry was skipped
load() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.FilePersistenceStrategy
load() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.NoPersistenceStrategy
load() - Method in interface org.apache.mahout.cf.taste.impl.recommender.svd.PersistenceStrategy: Load a factorization from a persistent store.
load(Configuration, Path) - Static method in class org.apache.mahout.classifier.df.data.Dataset: Deprecated.

Loads the dataset from a file
load(Configuration, Path) - Static method in class org.apache.mahout.classifier.df.DecisionForest: Deprecated.

Load the forest from a single file or a directory of files
load(Configuration) - Static method in class org.apache.mahout.clustering.spectral.VectorCache: Loads the vector from DistributedCache.
load(Configuration, Path) - Static method in class org.apache.mahout.clustering.spectral.VectorCache: Loads a Vector from the specified path.
loadAndSumUpperTriangularMatricesAsSymmetric(Path, Configuration) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDHelper: Load multiple upper triangular matrices and sum them up.
loadAndSumUpVectors(Path, Configuration) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDHelper
loadData(Dataset, FileSystem, Path) - Static method in class org.apache.mahout.classifier.df.data.DataLoader: Deprecated.

Loads the data from a file
loadData(Dataset, FileSystem, Path[]) - Static method in class org.apache.mahout.classifier.df.data.DataLoader: Deprecated.

Loads the data from multiple paths specified by pathes
loadData(Dataset, String[]) - Static method in class org.apache.mahout.classifier.df.data.DataLoader: Deprecated.

Loads the data from a String array
loadDataset(Configuration) - Static method in class org.apache.mahout.classifier.df.mapreduce.Builder: Deprecated.

Helper method.
LoadEvaluator - Class in org.apache.mahout.cf.taste.impl.eval: Simple helper class for running load on a Recommender.
loadModel(Configuration, Path...) - Static method in class org.apache.mahout.clustering.lda.cvb.TopicModel
LoadStatistics - Class in org.apache.mahout.cf.taste.impl.eval
loadUpperTriangularMatrix(Path, Configuration) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDHelper: Load only one upper triangular matrix and issue error if mroe than one is found.
LocalitySensitiveHashSearch - Class in org.apache.mahout.math.neighborhood: Implements a Searcher that uses locality sensitivity hash as a first pass approximation to estimate distance without floating point math.
LocalitySensitiveHashSearch(DistanceMeasure, int) - Constructor for class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch
log - Static variable in interface org.apache.mahout.common.parameters.Parametered
LOG_NORMALIZE - Static variable in class org.apache.mahout.vectorizer.common.PartialVectorMerger
logLikelihood(int, Vector) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier: Returns a measure of how good the classification for a particular example actually is.
logLikelihood() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
logLikelihoodRatio(long, long, long, long) - Method in class org.apache.mahout.vectorizer.collocations.llr.LLRReducer.ConcreteLLCallback
logLikelihoodRatio(long, long, long, long) - Method in interface org.apache.mahout.vectorizer.collocations.llr.LLRReducer.LLCallback
LogLikelihoodSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity: See http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.5962 and http://tdunning.blogspot.com/2008/03/surprise-and-coincidence.html.
LogLikelihoodSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity
LoglikelihoodSimilarity - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence.measures
LoglikelihoodSimilarity() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.LoglikelihoodSimilarity
logLimit(double, double) - Static method in class org.apache.mahout.ep.Mapping: Maps input to positive values in the open interval (min, max) with 0 going to the geometric mean.
LogLimit() - Constructor for class org.apache.mahout.ep.Mapping.LogLimit
logMemoryStatistics() - Static method in class org.apache.mahout.common.MemoryUtil: Logs current heap memory statistics.
logP(double) - Method in class org.apache.mahout.classifier.sgd.ElasticBandPrior
logP(double) - Method in class org.apache.mahout.classifier.sgd.L1
logP(double) - Method in class org.apache.mahout.classifier.sgd.L2
logP(double) - Method in interface org.apache.mahout.classifier.sgd.PriorFunction: Returns the log of the probability of a particular coefficient value according to the prior.
logP(double) - Method in class org.apache.mahout.classifier.sgd.TPrior
logP(double) - Method in class org.apache.mahout.classifier.sgd.UniformPrior
logsCRCFilter() - Static method in class org.apache.mahout.common.iterator.sequencefile.PathFilters
LongPair - Class in org.apache.mahout.common: A simple (ordered) pair of longs.
LongPair(long, long) - Constructor for class org.apache.mahout.common.LongPair
LongPrimitiveArrayIterator - Class in org.apache.mahout.cf.taste.impl.common: While long[] is an Iterable, it is not an Iterable<Long>.
LongPrimitiveArrayIterator(long[]) - Constructor for class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator: Creates an LongPrimitiveArrayIterator over an entire array.
LongPrimitiveIterator - Interface in org.apache.mahout.cf.taste.impl.common: Adds notion of iterating over long primitives in the style of an Iterator -- as opposed to iterating over Long.
lookupDataSource(String) - Static method in class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent: Looks up a DataSource by name from JNDI.
LuceneTextValueEncoder - Class in org.apache.mahout.vectorizer.encoders: Encodes text using a lucene style tokenizer.
LuceneTextValueEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.LuceneTextValueEncoder

M

M_OPTION - Static variable in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver
MahalanobisDistanceMeasure - Class in org.apache.mahout.common.distance
MahalanobisDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
MahoutDriver - Class in org.apache.mahout.driver: General-purpose driver class for Mahout programs.
main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.als.DatasetSplitter
main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.als.FactorizationEvaluator
main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob
main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.als.RecommenderJob
main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.item.RecommenderJob
main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.preparation.PreparePreferenceMatrixJob
main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob
main(String[]) - Static method in class org.apache.mahout.classifier.df.tools.Describe
main(String[]) - Static method in class org.apache.mahout.classifier.df.tools.ForestVisualizer: Deprecated.
main(String[]) - Static method in class org.apache.mahout.classifier.df.tools.Frequencies: Deprecated.
main(String[]) - Static method in class org.apache.mahout.classifier.df.tools.UDistrib: Deprecated.

Launch the uniform distribution tool.
main(String[]) - Static method in class org.apache.mahout.classifier.naivebayes.test.TestNaiveBayesDriver
main(String[]) - Static method in class org.apache.mahout.classifier.naivebayes.training.TrainNaiveBayesJob
main(String[]) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.BaumWelchTrainer
main(String[]) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.RandomSequenceGenerator
main(String[]) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.ViterbiEvaluator
main(String[]) - Static method in class org.apache.mahout.clustering.canopy.CanopyDriver: Deprecated.
main(String[]) - Static method in class org.apache.mahout.clustering.classify.ClusterClassificationDriver
main(String[]) - Static method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver
main(String[]) - Static method in class org.apache.mahout.clustering.kmeans.KMeansDriver
main(String[]) - Static method in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
main(String[]) - Static method in class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0
main(String[]) - Static method in class org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver
main(String[]) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver
main(String[]) - Static method in class org.apache.mahout.clustering.streaming.tools.ResplitSequenceFiles
main(String[]) - Static method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessorDriver
main(String[]) - Static method in class org.apache.mahout.driver.MahoutDriver
main(String[]) - Static method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver: Deprecated.
main(String[]) - Static method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob: Deprecated.
main(String[]) - Static method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob
main(String[]) - Static method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob
main(String[]) - Static method in class org.apache.mahout.math.hadoop.similarity.VectorDistanceSimilarityJob
main(String[]) - Static method in class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver
main(String[]) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDCli
main(String[]) - Static method in class org.apache.mahout.math.hadoop.TransposeJob
main(String[]) - Static method in class org.apache.mahout.vectorizer.collocations.llr.CollocDriver
main(String[]) - Static method in class org.apache.mahout.vectorizer.DictionaryVectorizer
main(String[]) - Static method in class org.apache.mahout.vectorizer.EncodedVectorsFromSequenceFiles
main(String[]) - Static method in class org.apache.mahout.vectorizer.SparseVectorsFromSequenceFiles
main(String[]) - Static method in class org.apache.mahout.Version
main2(String[], Configuration) - Static method in class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0
majorityLabel(Random) - Method in class org.apache.mahout.classifier.df.data.Data: Deprecated.

finds the majority label, breaking ties randomly
This method can be used when the criterion variable is the categorical attribute.
ManhattanDistanceMeasure - Class in org.apache.mahout.common.distance: This class implements a "manhattan distance" metric by summing the absolute values of the difference between each coordinate
ManhattanDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.ManhattanDistanceMeasure
map(LongWritable, Text, Mapper<LongWritable, Text, DoubleWritable, NullWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.als.FactorizationEvaluator.PredictRatingsMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, LongWritable, RecommendedItemsWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.als.PredictionMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.als.SolveExplicitFeedbackMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.als.SolveImplicitFeedbackMapper
map(LongWritable, Text, Mapper<LongWritable, Text, VarLongWritable, VarLongWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.ItemFilterMapper
map(LongWritable, Text, Mapper<LongWritable, Text, VarIntWritable, VarLongWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.ItemIDIndexMapper
map(VarIntWritable, VectorAndPrefsWritable, Mapper<VarIntWritable, VectorAndPrefsWritable, VarLongWritable, PrefAndSimilarityColumnWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.PartialMultiplyMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, VarIntWritable, VectorOrPrefWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.SimilarityMatrixRowWrapperMapper
map(VarLongWritable, VectorWritable, Mapper<VarLongWritable, VectorWritable, VarIntWritable, VectorOrPrefWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.UserVectorSplitterMapper
map(VarLongWritable, VectorWritable, Mapper<VarLongWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.preparation.ToItemVectorsMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, EntityEntityWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob.MostSimilarItemPairsMapper
map(LongWritable, Text, Mapper<LongWritable, Text, VarLongWritable, VarLongWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.ToEntityPrefsMapper
map(LongWritable, Text, Mapper<LongWritable, Text, DoubleWritable, Text>.Context) - Method in class org.apache.mahout.classifier.df.mapreduce.Classifier.CMapper: Deprecated.
map(IntWritable, NullWritable, Mapper<IntWritable, NullWritable, IntWritable, MapredOutput>.Context) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemMapper: Deprecated.
map(LongWritable, Text, Mapper<LongWritable, Text, TreeID, MapredOutput>.Context) - Method in class org.apache.mahout.classifier.df.mapreduce.partial.Step1Mapper: Deprecated.
map(Text, VectorWritable, Mapper<Text, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.test.BayesTestMapper
map(Text, VectorWritable, Mapper<Text, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.training.IndexInstancesMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.training.ThetaMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.training.WeightsMapper
map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, IntWritable, WeightedVectorWritable>.Context) - Method in class org.apache.mahout.clustering.classify.ClusterClassificationMapper: Mapper which classifies the vectors to respective clusters.
map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, IntWritable, ClusterWritable>.Context) - Method in class org.apache.mahout.clustering.iterator.CIMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.lda.cvb.CachingCVB0Mapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, DoubleWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.clustering.lda.cvb.CachingCVB0PerplexityMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.lda.cvb.CVB0DocInferenceMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.lda.cvb.CVB0TopicTermVectorNormalizerMapper
map(LongWritable, Text, Mapper<LongWritable, Text, IntWritable, DistributedRowMatrix.MatrixEntryWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.AffinityMatrixInputMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, NullWritable, IntDoublePairWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.MatrixDiagonalizeJob.MatrixDiagonalizeMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.UnitVectorizerJob.UnitVectorizerMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.VectorMatrixMultiplicationJob.VectorMatrixMultiplicationMapper
map(Writable, VectorWritable, Mapper<Writable, VectorWritable, IntWritable, CentroidWritable>.Context) - Method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansMapper
map(IntWritable, WeightedVectorWritable, Mapper<IntWritable, WeightedVectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessorMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.common.mapreduce.TransposeMapper
map(Writable, VectorWritable, Mapper<Writable, VectorWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.MatrixColumnMeansJob.MatrixColumnMeansMapper: The mapper computes a running sum of the vectors the task has seen.
map(IntWritable, TupleWritable, OutputCollector<IntWritable, VectorWritable>, Reporter) - Method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob.MatrixMultiplyMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.CooccurrencesMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.CountObservationsMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.UnsymmetrifyMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.VectorNormMapper
map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.VectorDistanceInvertedMapper
map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, StringTuple, DoubleWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.VectorDistanceMapper
map(IntWritable, Writable, Mapper<IntWritable, Writable, IntWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stats.StandardDeviationCalculatorMapper
map(Writable, VectorWritable, Mapper<Writable, VectorWritable, SplitPartitionedWritable, DenseBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.ABtMapper
map(Writable, VectorWritable, Mapper<Writable, VectorWritable, SplitPartitionedWritable, SparseRowBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.ABtMapper
map(Writable, VectorWritable, Mapper<Writable, VectorWritable, LongWritable, SparseRowBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.BtMapper: We maintain A and QtHat inputs partitioned the same way, so we essentially are performing map-side merge here of A and QtHats except QtHat is stored not row-wise but block-wise.
map(Writable, VectorWritable, Mapper<Writable, VectorWritable, SplitPartitionedWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.QJob.QMapper
map(Vector) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRFirstStep
map(Writable, VectorWritable, Mapper<Writable, VectorWritable, Writable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.UJob.UMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.VJob.VMapper
map(Writable, VectorWritable, Mapper<Writable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob.YtYMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesMapper
map(T, VectorWritable, Mapper<T, VectorWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesSquaredMapper
map(Text, StringTuple, Mapper<Text, StringTuple, GramKey, Gram>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.CollocMapper: Collocation finder: pass 1 map phase.
map(Text, Text, Mapper<Text, Text, Text, StringTuple>.Context) - Method in class org.apache.mahout.vectorizer.document.SequenceFileTokenizerMapper
map(Text, Text, Mapper<Text, Text, Text, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.EncodingMapper
map(Text, StringTuple, Mapper<Text, StringTuple, Text, LongWritable>.Context) - Method in class org.apache.mahout.vectorizer.term.TermCountMapper
map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, IntWritable, LongWritable>.Context) - Method in class org.apache.mahout.vectorizer.term.TermDocumentCountMapper
Mapping - Class in org.apache.mahout.ep: Provides coordinate tranformations so that evolution can proceed on the entire space of reals but have the output limited and squished in convenient (and safe) ways.
Mapping.Exponential - Class in org.apache.mahout.ep
Mapping.Identity - Class in org.apache.mahout.ep
Mapping.LogLimit - Class in org.apache.mahout.ep
Mapping.SoftLimit - Class in org.apache.mahout.ep
MapredMapper<KEYIN,VALUEIN,KEYOUT,VALUEOUT> - Class in org.apache.mahout.classifier.df.mapreduce: Deprecated.
MapredMapper() - Constructor for class org.apache.mahout.classifier.df.mapreduce.MapredMapper: Deprecated.
MapredOutput - Class in org.apache.mahout.classifier.df.mapreduce: Deprecated.
MapredOutput() - Constructor for class org.apache.mahout.classifier.df.mapreduce.MapredOutput: Deprecated.
MapredOutput(Node, int[]) - Constructor for class org.apache.mahout.classifier.df.mapreduce.MapredOutput: Deprecated.
MapredOutput(Node) - Constructor for class org.apache.mahout.classifier.df.mapreduce.MapredOutput: Deprecated.
MAPREDUCE_METHOD - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
matches(T) - Method in interface org.apache.mahout.cf.taste.impl.common.Cache.MatchPredicate
materialize(Path, Configuration) - Static method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
MatrixColumnMeansJob - Class in org.apache.mahout.math.hadoop: MatrixColumnMeansJob is a job for calculating the column-wise mean of a DistributedRowMatrix.
MatrixColumnMeansJob.MatrixColumnMeansMapper - Class in org.apache.mahout.math.hadoop: Mapper for calculation of column-wise mean.
MatrixColumnMeansJob.MatrixColumnMeansReducer - Class in org.apache.mahout.math.hadoop: The reducer adds the partial column-wise sums from each of the mappers to compute the total column-wise sum.
MatrixColumnMeansMapper() - Constructor for class org.apache.mahout.math.hadoop.MatrixColumnMeansJob.MatrixColumnMeansMapper
MatrixColumnMeansReducer() - Constructor for class org.apache.mahout.math.hadoop.MatrixColumnMeansJob.MatrixColumnMeansReducer
MatrixDiagonalizeJob - Class in org.apache.mahout.clustering.spectral: Given a matrix, this job returns a vector whose i_th element is the sum of all the elements in the i_th row of the original matrix.
MatrixDiagonalizeJob.MatrixDiagonalizeMapper - Class in org.apache.mahout.clustering.spectral
MatrixDiagonalizeJob.MatrixDiagonalizeReducer - Class in org.apache.mahout.clustering.spectral
MatrixDiagonalizeMapper() - Constructor for class org.apache.mahout.clustering.spectral.MatrixDiagonalizeJob.MatrixDiagonalizeMapper
MatrixDiagonalizeReducer() - Constructor for class org.apache.mahout.clustering.spectral.MatrixDiagonalizeJob.MatrixDiagonalizeReducer
MatrixEntryWritable() - Constructor for class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
MatrixMultiplicationJob - Class in org.apache.mahout.math.hadoop: This still uses the old MR api and as with all things in Mahout that are MapReduce is now part of 'mahout-mr'.
MatrixMultiplicationJob() - Constructor for class org.apache.mahout.math.hadoop.MatrixMultiplicationJob
MatrixMultiplicationJob.MatrixMultiplicationReducer - Class in org.apache.mahout.math.hadoop
MatrixMultiplicationJob.MatrixMultiplyMapper - Class in org.apache.mahout.math.hadoop
MatrixMultiplicationReducer() - Constructor for class org.apache.mahout.math.hadoop.MatrixMultiplicationJob.MatrixMultiplicationReducer
MatrixMultiplyMapper() - Constructor for class org.apache.mahout.math.hadoop.MatrixMultiplicationJob.MatrixMultiplyMapper
MatrixUtils - Class in org.apache.mahout.math
MAX_DF - Static variable in class org.apache.mahout.vectorizer.HighDFWordsPruner
MAX_DF - Static variable in class org.apache.mahout.vectorizer.tfidf.TFIDFConverter
MAX_DISTANCE - Static variable in class org.apache.mahout.math.hadoop.similarity.VectorDistanceSimilarityJob
MAX_ITERATIONS_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
MAX_ITERATIONS_PER_DOC - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
MAX_NGRAMS - Static variable in class org.apache.mahout.vectorizer.DictionaryVectorizer
MAX_NUM_ITERATIONS - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver: After mapping finishes, we get an intermediate set of vectors that represent approximate clusterings of the data from each Mapper.
MAX_REDUCERS_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
MAX_SHINGLE_SIZE - Static variable in class org.apache.mahout.vectorizer.collocations.llr.CollocMapper
MAX_SIMILARITIES_PER_ITEM - Static variable in class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob
MAX_TREEID - Static variable in class org.apache.mahout.classifier.df.mapreduce.partial.TreeID: Deprecated.
maxDepth() - Method in class org.apache.mahout.classifier.df.node.CategoricalNode: Deprecated.
maxDepth() - Method in class org.apache.mahout.classifier.df.node.Leaf: Deprecated.
maxDepth() - Method in class org.apache.mahout.classifier.df.node.Node: Deprecated.
maxDepth() - Method in class org.apache.mahout.classifier.df.node.NumericalNode: Deprecated.
maxindex(Random, int[]) - Static method in class org.apache.mahout.classifier.df.data.DataUtils: Deprecated.

return the index of the maximum of the array, breaking ties randomly
maxIterationsOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator: Returns a default command line option for specification of max number of iterations.
maxTargetValue(int) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory: Defines the number of target variable categories, but allows this parser to pick encodings for them as they appear.
maxTargetValue(int) - Method in interface org.apache.mahout.classifier.sgd.RecordFactory
maybePersist(Factorization) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.FilePersistenceStrategy
maybePersist(Factorization) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.NoPersistenceStrategy
maybePersist(Factorization) - Method in interface org.apache.mahout.cf.taste.impl.recommender.svd.PersistenceStrategy: Write a factorization to a persistent store unless it already contains an identical factorization.
maybePut(Map<String, List<String>>, CommandLine, Option...) - Static method in class org.apache.mahout.common.AbstractJob
maybeRefresh(Collection<Refreshable>, Refreshable) - Static method in class org.apache.mahout.cf.taste.impl.common.RefreshHelper: Adds the specified Refreshable to the given collection of Refreshables if it is not already there and immediately refreshes it.
maybeSample(Vector, int) - Static method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.Vectors
maybeWrapIterable(Iterable<T>, double) - Static method in class org.apache.mahout.common.iterator.SamplingIterable
maybeWrapIterator(LongPrimitiveIterator, double) - Static method in class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
meanMaxDepth() - Method in class org.apache.mahout.classifier.df.DecisionForest: Deprecated.
meanNbNodes() - Method in class org.apache.mahout.classifier.df.DecisionForest: Deprecated.
MemoryIDMigrator - Class in org.apache.mahout.cf.taste.impl.model: Implementation which stores the reverse long-to-String mapping in memory.
MemoryIDMigrator() - Constructor for class org.apache.mahout.cf.taste.impl.model.MemoryIDMigrator
MemoryUtil - Class in org.apache.mahout.common: Memory utilities.
merge(ConfusionMatrix) - Method in class org.apache.mahout.classifier.ConfusionMatrix
merge(Iterable<VectorWritable>) - Static method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.Vectors
mergePartialVectors(Iterable<Path>, Path, Configuration, float, boolean, int, boolean, boolean, int) - Static method in class org.apache.mahout.vectorizer.common.PartialVectorMerger: Merge all the partial RandomAccessSparseVectors into the complete Document RandomAccessSparseVector
mergePartialVectors(Iterable<Path>, Path, Configuration, float, boolean, int) - Static method in class org.apache.mahout.vectorizer.HighDFWordsPruner
mergeQrDown(double[][], double[][], double[][]) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
mergeQrDown(UpperTriangular, double[][], UpperTriangular) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
mergeQrUp(double[][], double[][], double[][]) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
mergeQrUp(double[][], UpperTriangular, UpperTriangular) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
mergeR(UpperTriangular, UpperTriangular) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
mergeR(double[][], double[][]) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
mergeRonQ(UpperTriangular, UpperTriangular, double[][], double[][]) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
mergeRonQ(double[][], double[][], double[][], double[][]) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
MergeToTopKSimilaritiesReducer() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.MergeToTopKSimilaritiesReducer
MergeVectorsCombiner - Class in org.apache.mahout.common.mapreduce
MergeVectorsCombiner() - Constructor for class org.apache.mahout.common.mapreduce.MergeVectorsCombiner
MergeVectorsReducer - Class in org.apache.mahout.common.mapreduce
MergeVectorsReducer() - Constructor for class org.apache.mahout.common.mapreduce.MergeVectorsReducer
MergeVectorsReducer() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.MergeVectorsReducer
METHOD_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
methodOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator: Returns a default command line option for specification of sequential or parallel operation.
MIN_DF - Static variable in class org.apache.mahout.vectorizer.HighDFWordsPruner
MIN_DF - Static variable in class org.apache.mahout.vectorizer.tfidf.TFIDFConverter
MIN_LLR - Static variable in class org.apache.mahout.vectorizer.collocations.llr.LLRReducer
MIN_LOG_LIKELIHOOD - Static variable in class org.apache.mahout.classifier.AbstractVectorClassifier: Minimum allowable log likelihood value.
MIN_PREFERENCES_PER_USER - Static variable in class org.apache.mahout.cf.taste.hadoop.item.ToUserVectorsReducer
MIN_SUPPORT - Static variable in class org.apache.mahout.vectorizer.collocations.llr.CollocReducer
MIN_SUPPORT - Static variable in class org.apache.mahout.vectorizer.DictionaryVectorizer
MinkowskiDistanceMeasure - Class in org.apache.mahout.common.distance: Implement Minkowski distance, a real-valued generalization of the integral L(n) distances: Manhattan = L1, Euclidean = L2.
MinkowskiDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.MinkowskiDistanceMeasure
MinkowskiDistanceMeasure(double) - Constructor for class org.apache.mahout.common.distance.MinkowskiDistanceMeasure
MixedGradient - Class in org.apache.mahout.classifier.sgd: Provides a stochastic mixture of ranking updates and normal logistic updates.
MixedGradient(double, int) - Constructor for class org.apache.mahout.classifier.sgd.MixedGradient
Model<O> - Interface in org.apache.mahout.clustering: A model is a probability distribution over observed data points and allows the probability of any data point to be computed.
MODEL_TEMP_DIR - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
MODEL_WEIGHT - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
ModelDissector - Class in org.apache.mahout.classifier.sgd: Uses sample data to reverse engineer a feature-hashed model.
ModelDissector() - Constructor for class org.apache.mahout.classifier.sgd.ModelDissector
ModelDissector.Weight - Class in org.apache.mahout.classifier.sgd
ModelDistribution<O> - Interface in org.apache.mahout.clustering: A model distribution allows us to sample a model from its prior distribution.
modelLikelihood(HmmModel, int[], boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmEvaluator: Returns the likelihood that a given output sequence was produced by the given model.
modelLikelihood(Matrix, boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmEvaluator: Computes the likelihood that a given output sequence was computed by a given model using the alpha values computed by the forward algorithm.
modelLikelihood(HmmModel, int[], Matrix, boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmEvaluator: Computes the likelihood that a given output sequence was computed by a given model.
modelPath(Path, int) - Static method in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
ModelSerializer - Class in org.apache.mahout.classifier.sgd: Provides the ability to store SGD model-related objects as binary files.
ModelTrainer - Class in org.apache.mahout.clustering.lda.cvb: Multithreaded LDA model trainer class, which primarily operates by running a "map/reduce" operation, all in memory locally (ie not a hadoop job!) : the "map" operation is to take the "read-only" TopicModel and use it to iteratively learn the p(topic|term, doc) distribution for documents (this can be done in parallel across many documents, as the "read-only" model is, well, read-only.
ModelTrainer(TopicModel, TopicModel, int, int, int) - Constructor for class org.apache.mahout.clustering.lda.cvb.ModelTrainer
ModelTrainer(TopicModel, int, int, int) - Constructor for class org.apache.mahout.clustering.lda.cvb.ModelTrainer: WARNING: this constructor may not lead to good behavior.
MostSimilarEstimator(long, ItemSimilarity, Rescorer<LongPair>) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender.MostSimilarEstimator
MostSimilarItemPairsMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob.MostSimilarItemPairsMapper
MostSimilarItemPairsReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob.MostSimilarItemPairsReducer
mostSimilarItems(long, int) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
mostSimilarItems(long, int, Rescorer<LongPair>) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
mostSimilarItems(long[], int) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
mostSimilarItems(long[], int, Rescorer<LongPair>) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
mostSimilarItems(long[], int, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
mostSimilarItems(long[], int, Rescorer<LongPair>, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
mostSimilarItems(long, int) - Method in interface org.apache.mahout.cf.taste.recommender.ItemBasedRecommender
mostSimilarItems(long, int, Rescorer<LongPair>) - Method in interface org.apache.mahout.cf.taste.recommender.ItemBasedRecommender
mostSimilarItems(long[], int) - Method in interface org.apache.mahout.cf.taste.recommender.ItemBasedRecommender
mostSimilarItems(long[], int, Rescorer<LongPair>) - Method in interface org.apache.mahout.cf.taste.recommender.ItemBasedRecommender
mostSimilarItems(long[], int, boolean) - Method in interface org.apache.mahout.cf.taste.recommender.ItemBasedRecommender
mostSimilarItems(long[], int, Rescorer<LongPair>, boolean) - Method in interface org.apache.mahout.cf.taste.recommender.ItemBasedRecommender
MostSimilarItemsCandidateItemsStrategy - Interface in org.apache.mahout.cf.taste.recommender: Used to retrieve all items that could possibly be similar
mostSimilarUserIDs(long, int) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
mostSimilarUserIDs(long, int, Rescorer<LongPair>) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
mostSimilarUserIDs(long, int) - Method in interface org.apache.mahout.cf.taste.recommender.UserBasedRecommender
mostSimilarUserIDs(long, int, Rescorer<LongPair>) - Method in interface org.apache.mahout.cf.taste.recommender.UserBasedRecommender
MultiLabelVectorWritable - Class in org.apache.mahout.math: Writable to handle serialization of a vector and a variable list of associated label indexes.
MultiLabelVectorWritable() - Constructor for class org.apache.mahout.math.MultiLabelVectorWritable
MultiLabelVectorWritable(Vector, int[]) - Constructor for class org.apache.mahout.math.MultiLabelVectorWritable
MultithreadedBatchItemSimilarities - Class in org.apache.mahout.cf.taste.impl.similarity.precompute: Precompute item similarities in parallel on a single machine.
MultithreadedBatchItemSimilarities(ItemBasedRecommender, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.precompute.MultithreadedBatchItemSimilarities
MultithreadedBatchItemSimilarities(ItemBasedRecommender, int, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.precompute.MultithreadedBatchItemSimilarities
MultithreadedSharingMapper<K1,V1,K2,V2> - Class in org.apache.mahout.cf.taste.hadoop.als: Multithreaded Mapper for SharingMappers.
MultithreadedSharingMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.als.MultithreadedSharingMapper
murmur64(long, int, long) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.Omega: Shortened version for data < 8 bytes packed into len lowest bytes of val.
murmur64(byte[], int, int, long) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.Omega
MutableElement - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence
MutableRecommendedItem - Class in org.apache.mahout.cf.taste.hadoop: Mutable variant of RecommendedItem
MutableRecommendedItem() - Constructor for class org.apache.mahout.cf.taste.hadoop.MutableRecommendedItem
MutableRecommendedItem(long, float) - Constructor for class org.apache.mahout.cf.taste.hadoop.MutableRecommendedItem
mutate() - Method in class org.apache.mahout.ep.State: Clones this state with a random change in position.
mutatePopulation(int) - Method in class org.apache.mahout.ep.EvolutionaryProcess: Nuke all but a few of the current population and then repopulate with variants of the survivors.
mutlithreadedTRightMultiply(Vector) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.Omega
MySQLJDBCIDMigrator - Class in org.apache.mahout.cf.taste.impl.model: An implementation for MySQL.
MySQLJDBCIDMigrator(DataSource) - Constructor for class org.apache.mahout.cf.taste.impl.model.MySQLJDBCIDMigrator
MySQLJDBCIDMigrator(DataSource, String, String, String) - Constructor for class org.apache.mahout.cf.taste.impl.model.MySQLJDBCIDMigrator

N

NaiveBayesModel - Class in org.apache.mahout.classifier.naivebayes: NaiveBayesModel holds the weight matrix, the feature and label sums and the weight normalizer vectors.
NaiveBayesModel(Matrix, Vector, Vector, Vector, float, boolean) - Constructor for class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
name() - Method in class org.apache.mahout.common.parameters.AbstractParameter
name() - Method in interface org.apache.mahout.common.parameters.Parameter
NAMED_VECTOR - Static variable in class org.apache.mahout.vectorizer.common.PartialVectorMerger
nbAttributes() - Method in class org.apache.mahout.classifier.df.data.Dataset: Deprecated.
nblabels() - Method in class org.apache.mahout.classifier.df.data.Dataset: Deprecated.
nbNodes() - Method in class org.apache.mahout.classifier.df.DecisionForest: Deprecated.
nbNodes() - Method in class org.apache.mahout.classifier.df.node.CategoricalNode: Deprecated.
nbNodes() - Method in class org.apache.mahout.classifier.df.node.Leaf: Deprecated.
nbNodes() - Method in class org.apache.mahout.classifier.df.node.Node: Deprecated.
nbNodes() - Method in class org.apache.mahout.classifier.df.node.NumericalNode: Deprecated.
nbTrees(int, int, int) - Static method in class org.apache.mahout.classifier.df.mapreduce.partial.Step1Mapper: Deprecated.

Compute the number of trees for a given partition.
nbValues(int) - Method in class org.apache.mahout.classifier.df.data.Dataset: Deprecated.
NearestNUserNeighborhood - Class in org.apache.mahout.cf.taste.impl.neighborhood: Computes a neighborhood consisting of the nearest n users to a given user.
NearestNUserNeighborhood(int, UserSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.neighborhood.NearestNUserNeighborhood
NearestNUserNeighborhood(int, double, UserSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.neighborhood.NearestNUserNeighborhood
NearestNUserNeighborhood(int, double, UserSimilarity, DataModel, double) - Constructor for class org.apache.mahout.cf.taste.impl.neighborhood.NearestNUserNeighborhood
NEW_NUM_COLS_PARAM - Static variable in class org.apache.mahout.common.mapreduce.TransposeMapper
newCall(long) - Method in class org.apache.mahout.common.TimingStatistics: Ignores counting the performance metrics until leadTimeIsFinished The caller should enough time for the JIT to warm up.
next() - Method in class org.apache.mahout.cf.taste.impl.common.AbstractLongPrimitiveIterator
next() - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
next() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRLastStep
nextKeyValue() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader: Deprecated.
nextLong() - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
nextLong() - Method in interface org.apache.mahout.cf.taste.impl.common.LongPrimitiveIterator
nextLong() - Method in class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
nextStep() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
nextStep(int) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
NGRAM_OUTPUT_DIRECTORY - Static variable in class org.apache.mahout.vectorizer.collocations.llr.CollocDriver
NGRAM_TOTAL - Static variable in class org.apache.mahout.vectorizer.collocations.llr.LLRReducer
NGrams - Class in org.apache.mahout.common.nlp
NGrams(String, int) - Constructor for class org.apache.mahout.common.nlp.NGrams
NO_FIXED_RANDOM_SEED - Static variable in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob
NO_LIMIT_FACTOR - Static variable in class org.apache.mahout.cf.taste.impl.recommender.SamplingCandidateItemsStrategy: Specify this value as a factor to mean no limit.
NO_MAX_SIZE - Static variable in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
NO_MAX_SIZE - Static variable in class org.apache.mahout.cf.taste.impl.common.FastMap
NO_NORM - Static variable in interface org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.VectorSimilarityMeasure
NO_NORMALIZING - Static variable in class org.apache.mahout.vectorizer.common.PartialVectorMerger
NO_THRESHOLD - Static variable in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob
Node - Class in org.apache.mahout.classifier.df.node: Deprecated.
Node() - Constructor for class org.apache.mahout.classifier.df.node.Node: Deprecated.
Node.Type - Enum in org.apache.mahout.classifier.df.node: Deprecated.
NoPersistenceStrategy - Class in org.apache.mahout.cf.taste.impl.recommender.svd: A PersistenceStrategy which does nothing.
NoPersistenceStrategy() - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.NoPersistenceStrategy
norm(Vector) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CosineSimilarity
norm(Vector) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CountbasedMeasure
norm(Vector) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.EuclideanDistanceSimilarity
norm(Vector) - Method in interface org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.VectorSimilarityMeasure
NORMALIZATION_POWER - Static variable in class org.apache.mahout.vectorizer.common.PartialVectorMerger
normalize(Vector) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CosineSimilarity
normalize(Vector) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CountbasedMeasure
normalize(Vector) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.EuclideanDistanceSimilarity
normalize(Vector) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.PearsonCorrelationSimilarity
normalize(Vector) - Method in interface org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.VectorSimilarityMeasure
normalizeModel(HmmModel) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils: Function used to normalize the probabilities of a given HMM model
NoSuchItemException - Exception in org.apache.mahout.cf.taste.common
NoSuchItemException() - Constructor for exception org.apache.mahout.cf.taste.common.NoSuchItemException
NoSuchItemException(long) - Constructor for exception org.apache.mahout.cf.taste.common.NoSuchItemException
NoSuchItemException(String) - Constructor for exception org.apache.mahout.cf.taste.common.NoSuchItemException
NoSuchUserException - Exception in org.apache.mahout.cf.taste.common
NoSuchUserException() - Constructor for exception org.apache.mahout.cf.taste.common.NoSuchUserException
NoSuchUserException(long) - Constructor for exception org.apache.mahout.cf.taste.common.NoSuchUserException
NoSuchUserException(String) - Constructor for exception org.apache.mahout.cf.taste.common.NoSuchUserException
NullRescorer<T> - Class in org.apache.mahout.cf.taste.impl.recommender: A simple Rescorer which always returns the original score.
NUM_BALLKMEANS_RUNS - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver: The percentage of points that go into the "training" set when evaluating BallKMeans runs in the reducer.
NUM_CLUSTERS_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
NUM_PROJECTIONS_OPTION - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver: The number of projections to use when using a projection searcher like ProjectionSearch or FastProjectionSearch.
NUM_REDUCE_TASKS - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
NUM_TERMS - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
NUM_TOPICS - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
NUM_TRAIN_THREADS - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
NUM_UPDATE_THREADS - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
NUM_USERS - Static variable in class org.apache.mahout.cf.taste.hadoop.preparation.PreparePreferenceMatrixJob
numCategories() - Method in class org.apache.mahout.classifier.AbstractVectorClassifier: Returns the number of categories that a target variable can be assigned to.
numCategories() - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier
numCategories - Variable in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
numCategories() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
numCategories() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
numCategories() - Method in class org.apache.mahout.classifier.sgd.GradientMachine
numCategories() - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive
numCategories() - Method in class org.apache.mahout.clustering.classify.ClusterClassifier
numClustersOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator: Returns a default command line option for specification of numbers of clusters to create.
numCols() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
NumericalNode - Class in org.apache.mahout.classifier.df.node: Deprecated.
NumericalNode() - Constructor for class org.apache.mahout.classifier.df.node.NumericalNode: Deprecated.
NumericalNode(int, double, Node, Node) - Constructor for class org.apache.mahout.classifier.df.node.NumericalNode: Deprecated.
numFeatures() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
numFeatures - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer: Number of features used to compute this factorization
numFeatures() - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
numFeatures() - Method in class org.apache.mahout.classifier.naivebayes.training.ComplementaryThetaTrainer
numFeatures() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
numFeatures() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression: Returns the size of the internal feature vector.
numFeatures() - Method in class org.apache.mahout.classifier.sgd.GradientMachine
numFeatures() - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive
numHidden() - Method in class org.apache.mahout.classifier.sgd.GradientMachine
numItems() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
numLabels() - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
numReducersOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator: Deprecated.
numRows() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
numSimilarItems() - Method in class org.apache.mahout.cf.taste.similarity.precompute.SimilarItems
numSlices() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
numUsers() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization

O

observe(Model<VectorWritable>) - Method in class org.apache.mahout.clustering.AbstractCluster
observe(VectorWritable) - Method in class org.apache.mahout.clustering.AbstractCluster
observe(VectorWritable, double) - Method in class org.apache.mahout.clustering.AbstractCluster
observe(Vector, double) - Method in class org.apache.mahout.clustering.AbstractCluster
observe(Vector) - Method in class org.apache.mahout.clustering.AbstractCluster
observe(Vector, double) - Method in interface org.apache.mahout.clustering.GaussianAccumulator: Observe the vector
observe(O) - Method in interface org.apache.mahout.clustering.Model: Observe the given observation, retaining information about it
observe(O, double) - Method in interface org.apache.mahout.clustering.Model: Observe the given observation, retaining information about it
observe(Model<O>) - Method in interface org.apache.mahout.clustering.Model: Observe the given model, retaining information about its observations
observe(Vector, double) - Method in class org.apache.mahout.clustering.OnlineGaussianAccumulator
observe(Vector, double) - Method in class org.apache.mahout.clustering.RunningSumsGaussianAccumulator
of(A, B) - Static method in class org.apache.mahout.common.Pair
Omega - Class in org.apache.mahout.math.hadoop.stochasticsvd: simplistic implementation for Omega matrix in Stochastic SVD method
Omega(long, int) - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.Omega
OnlineAuc - Interface in org.apache.mahout.math.stats: Describes the generic outline of how to compute AUC.
OnlineGaussianAccumulator - Class in org.apache.mahout.clustering: An online Gaussian statistics accumulator based upon Knuth (who cites Welford) which is declared to be numerically-stable.
OnlineGaussianAccumulator() - Constructor for class org.apache.mahout.clustering.OnlineGaussianAccumulator
OnlineLearner - Interface in org.apache.mahout.classifier: The simplest interface for online learning algorithms.
OnlineLogisticRegression - Class in org.apache.mahout.classifier.sgd: Extends the basic on-line logistic regression learner with a specific set of learning rate annealing schedules.
OnlineLogisticRegression() - Constructor for class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
OnlineLogisticRegression(int, int, PriorFunction) - Constructor for class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
open() - Method in class org.apache.mahout.cf.taste.impl.similarity.precompute.FileSimilarItemsWriter
open() - Method in interface org.apache.mahout.cf.taste.similarity.precompute.SimilarItemsWriter
openStream(Path, Configuration) - Static method in class org.apache.mahout.common.HadoopUtil
OptIgSplit - Class in org.apache.mahout.classifier.df.split: Deprecated.
OptIgSplit() - Constructor for class org.apache.mahout.classifier.df.split.OptIgSplit: Deprecated.
OrderBasedRecommenderEvaluator - Class in org.apache.mahout.cf.taste.impl.eval: Evaluate recommender by comparing order of all raw prefs with order in recommender's output for that user.
org.apache.mahout - package org.apache.mahout
org.apache.mahout.cf.taste.common - package org.apache.mahout.cf.taste.common
org.apache.mahout.cf.taste.eval - package org.apache.mahout.cf.taste.eval
org.apache.mahout.cf.taste.hadoop - package org.apache.mahout.cf.taste.hadoop
org.apache.mahout.cf.taste.hadoop.als - package org.apache.mahout.cf.taste.hadoop.als
org.apache.mahout.cf.taste.hadoop.item - package org.apache.mahout.cf.taste.hadoop.item
org.apache.mahout.cf.taste.hadoop.preparation - package org.apache.mahout.cf.taste.hadoop.preparation
org.apache.mahout.cf.taste.hadoop.similarity.item - package org.apache.mahout.cf.taste.hadoop.similarity.item
org.apache.mahout.cf.taste.impl.common - package org.apache.mahout.cf.taste.impl.common
org.apache.mahout.cf.taste.impl.common.jdbc - package org.apache.mahout.cf.taste.impl.common.jdbc
org.apache.mahout.cf.taste.impl.eval - package org.apache.mahout.cf.taste.impl.eval
org.apache.mahout.cf.taste.impl.model - package org.apache.mahout.cf.taste.impl.model
org.apache.mahout.cf.taste.impl.model.file - package org.apache.mahout.cf.taste.impl.model.file
org.apache.mahout.cf.taste.impl.neighborhood - package org.apache.mahout.cf.taste.impl.neighborhood
org.apache.mahout.cf.taste.impl.recommender - package org.apache.mahout.cf.taste.impl.recommender
org.apache.mahout.cf.taste.impl.recommender.svd - package org.apache.mahout.cf.taste.impl.recommender.svd
org.apache.mahout.cf.taste.impl.similarity - package org.apache.mahout.cf.taste.impl.similarity
org.apache.mahout.cf.taste.impl.similarity.file - package org.apache.mahout.cf.taste.impl.similarity.file
org.apache.mahout.cf.taste.impl.similarity.precompute - package org.apache.mahout.cf.taste.impl.similarity.precompute
org.apache.mahout.cf.taste.model - package org.apache.mahout.cf.taste.model
org.apache.mahout.cf.taste.neighborhood - package org.apache.mahout.cf.taste.neighborhood
org.apache.mahout.cf.taste.recommender - package org.apache.mahout.cf.taste.recommender
org.apache.mahout.cf.taste.similarity - package org.apache.mahout.cf.taste.similarity
org.apache.mahout.cf.taste.similarity.precompute - package org.apache.mahout.cf.taste.similarity.precompute
org.apache.mahout.classifier - package org.apache.mahout.classifier
org.apache.mahout.classifier.df - package org.apache.mahout.classifier.df
org.apache.mahout.classifier.df.builder - package org.apache.mahout.classifier.df.builder
org.apache.mahout.classifier.df.data - package org.apache.mahout.classifier.df.data
org.apache.mahout.classifier.df.data.conditions - package org.apache.mahout.classifier.df.data.conditions
org.apache.mahout.classifier.df.mapreduce - package org.apache.mahout.classifier.df.mapreduce
org.apache.mahout.classifier.df.mapreduce.inmem - package org.apache.mahout.classifier.df.mapreduce.inmem: In-memory mapreduce implementation of Random Decision Forests
org.apache.mahout.classifier.df.mapreduce.partial - package org.apache.mahout.classifier.df.mapreduce.partial: Partial-data mapreduce implementation of Random Decision Forests
org.apache.mahout.classifier.df.node - package org.apache.mahout.classifier.df.node
org.apache.mahout.classifier.df.ref - package org.apache.mahout.classifier.df.ref
org.apache.mahout.classifier.df.split - package org.apache.mahout.classifier.df.split
org.apache.mahout.classifier.df.tools - package org.apache.mahout.classifier.df.tools
org.apache.mahout.classifier.evaluation - package org.apache.mahout.classifier.evaluation
org.apache.mahout.classifier.naivebayes - package org.apache.mahout.classifier.naivebayes
org.apache.mahout.classifier.naivebayes.test - package org.apache.mahout.classifier.naivebayes.test
org.apache.mahout.classifier.naivebayes.training - package org.apache.mahout.classifier.naivebayes.training
org.apache.mahout.classifier.sequencelearning.hmm - package org.apache.mahout.classifier.sequencelearning.hmm
org.apache.mahout.classifier.sgd - package org.apache.mahout.classifier.sgd: Implements a variety of on-line logistric regression classifiers using SGD-based algorithms.
org.apache.mahout.clustering - package org.apache.mahout.clustering
org.apache.mahout.clustering.canopy - package org.apache.mahout.clustering.canopy
org.apache.mahout.clustering.classify - package org.apache.mahout.clustering.classify
org.apache.mahout.clustering.fuzzykmeans - package org.apache.mahout.clustering.fuzzykmeans
org.apache.mahout.clustering.iterator - package org.apache.mahout.clustering.iterator
org.apache.mahout.clustering.kernel - package org.apache.mahout.clustering.kernel
org.apache.mahout.clustering.kmeans - package org.apache.mahout.clustering.kmeans: This package provides an implementation of the k-means clustering algorithm.
org.apache.mahout.clustering.lda.cvb - package org.apache.mahout.clustering.lda.cvb
org.apache.mahout.clustering.spectral - package org.apache.mahout.clustering.spectral
org.apache.mahout.clustering.spectral.kmeans - package org.apache.mahout.clustering.spectral.kmeans
org.apache.mahout.clustering.streaming.cluster - package org.apache.mahout.clustering.streaming.cluster
org.apache.mahout.clustering.streaming.mapreduce - package org.apache.mahout.clustering.streaming.mapreduce
org.apache.mahout.clustering.streaming.tools - package org.apache.mahout.clustering.streaming.tools
org.apache.mahout.clustering.topdown - package org.apache.mahout.clustering.topdown
org.apache.mahout.clustering.topdown.postprocessor - package org.apache.mahout.clustering.topdown.postprocessor
org.apache.mahout.common - package org.apache.mahout.common
org.apache.mahout.common.commandline - package org.apache.mahout.common.commandline
org.apache.mahout.common.distance - package org.apache.mahout.common.distance
org.apache.mahout.common.iterator - package org.apache.mahout.common.iterator
org.apache.mahout.common.iterator.sequencefile - package org.apache.mahout.common.iterator.sequencefile
org.apache.mahout.common.lucene - package org.apache.mahout.common.lucene
org.apache.mahout.common.mapreduce - package org.apache.mahout.common.mapreduce
org.apache.mahout.common.nlp - package org.apache.mahout.common.nlp
org.apache.mahout.common.parameters - package org.apache.mahout.common.parameters
org.apache.mahout.driver - package org.apache.mahout.driver
org.apache.mahout.ep - package org.apache.mahout.ep: Provides basic evolutionary optimization using recorded-step mutation.
org.apache.mahout.math - package org.apache.mahout.math
org.apache.mahout.math.hadoop - package org.apache.mahout.math.hadoop
org.apache.mahout.math.hadoop.decomposer - package org.apache.mahout.math.hadoop.decomposer
org.apache.mahout.math.hadoop.similarity - package org.apache.mahout.math.hadoop.similarity
org.apache.mahout.math.hadoop.similarity.cooccurrence - package org.apache.mahout.math.hadoop.similarity.cooccurrence
org.apache.mahout.math.hadoop.similarity.cooccurrence.measures - package org.apache.mahout.math.hadoop.similarity.cooccurrence.measures
org.apache.mahout.math.hadoop.solver - package org.apache.mahout.math.hadoop.solver
org.apache.mahout.math.hadoop.stats - package org.apache.mahout.math.hadoop.stats
org.apache.mahout.math.hadoop.stochasticsvd - package org.apache.mahout.math.hadoop.stochasticsvd
org.apache.mahout.math.hadoop.stochasticsvd.qr - package org.apache.mahout.math.hadoop.stochasticsvd.qr
org.apache.mahout.math.neighborhood - package org.apache.mahout.math.neighborhood
org.apache.mahout.math.random - package org.apache.mahout.math.random
org.apache.mahout.math.ssvd - package org.apache.mahout.math.ssvd
org.apache.mahout.math.stats - package org.apache.mahout.math.stats
org.apache.mahout.vectorizer - package org.apache.mahout.vectorizer
org.apache.mahout.vectorizer.collocations.llr - package org.apache.mahout.vectorizer.collocations.llr
org.apache.mahout.vectorizer.common - package org.apache.mahout.vectorizer.common
org.apache.mahout.vectorizer.document - package org.apache.mahout.vectorizer.document
org.apache.mahout.vectorizer.encoders - package org.apache.mahout.vectorizer.encoders
org.apache.mahout.vectorizer.pruner - package org.apache.mahout.vectorizer.pruner
org.apache.mahout.vectorizer.term - package org.apache.mahout.vectorizer.term
org.apache.mahout.vectorizer.tfidf - package org.apache.mahout.vectorizer.tfidf
orthonormalizeColumns(Matrix) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GramSchmidt
OUT_TYPE_KEY - Static variable in class org.apache.mahout.math.hadoop.similarity.VectorDistanceSimilarityJob
OuterProductCombiner() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductCombiner
OuterProductReducer() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductReducer
OUTLIER_REMOVAL_THRESHOLD - Static variable in class org.apache.mahout.clustering.classify.ClusterClassificationConfigKeys
OUTLIER_THRESHOLD - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
outlierThresholdOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator: Returns a default command line option for specification of OUTLIER THRESHOLD value.
OUTPUT_BBT - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob
OUTPUT_BT - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob
OUTPUT_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
OUTPUT_Q - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob
OUTPUT_QHAT - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.QJob
OUTPUT_RHAT - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.QJob
OUTPUT_SB - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob
OUTPUT_SQ - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob
OUTPUT_VECTOR_DIMENSION - Static variable in class org.apache.mahout.math.hadoop.TimesSquaredJob
OUTPUT_VECTOR_FILENAME - Static variable in class org.apache.mahout.math.hadoop.TimesSquaredJob
OUTPUT_YT_Y - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob
outputFile - Variable in class org.apache.mahout.common.AbstractJob
outputOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator: Returns a default command line option for output directory specification.
outputPath - Variable in class org.apache.mahout.common.AbstractJob: output path, populated by AbstractJob.parseArguments(String[])
OVERSAMPLING - Static variable in class org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver
OVERWRITE_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
overwriteOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator: Returns a default command line option for output directory overwriting.

P

Pair<A,B> - Class in org.apache.mahout.common: A simple (ordered) pair of two objects.
Pair(A, B) - Constructor for class org.apache.mahout.common.Pair
ParallelALSFactorizationJob - Class in org.apache.mahout.cf.taste.hadoop.als: MapReduce implementation of the two factorization algorithms described in
ParallelALSFactorizationJob() - Constructor for class org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob
parallelDo(EvolutionaryProcess.Function<Payload<U>>) - Method in class org.apache.mahout.ep.EvolutionaryProcess: Execute an operation on all of the members of the population with many threads.
ParallelSGDFactorizer - Class in org.apache.mahout.cf.taste.impl.recommender.svd: Minimalistic implementation of Parallel SGD factorizer based on "Scalable Collaborative Filtering Approaches for Large Recommender Systems" and "Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent"
ParallelSGDFactorizer(DataModel, int, double, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer
ParallelSGDFactorizer(DataModel, int, double, int, double, double, int, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer
ParallelSGDFactorizer(DataModel, int, double, int, double, double, int, double, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer
ParallelSGDFactorizer(DataModel, int, double, int, double, double, int, double, double, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer
ParallelSGDFactorizer(DataModel, int, double, int, double, double, int, double, double, double, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer
ParallelSGDFactorizer.PreferenceShuffler - Class in org.apache.mahout.cf.taste.impl.recommender.svd
Parameter<T> - Interface in org.apache.mahout.common.parameters: An accessor to a parameters in the job.
Parametered - Interface in org.apache.mahout.common.parameters: Meta information and accessors for configuring a job.
Parametered.ParameteredGeneralizations - Class in org.apache.mahout.common.parameters: "multiple inheritance"
Parameters - Class in org.apache.mahout.common
Parameters() - Constructor for class org.apache.mahout.common.Parameters
Parameters(String) - Constructor for class org.apache.mahout.common.Parameters
Parameters(Map<String, String>) - Constructor for class org.apache.mahout.common.Parameters
parseArguments(String[]) - Method in class org.apache.mahout.common.AbstractJob: Parse the arguments specified based on the options defined using the various addOption methods.
parseArguments(String[], boolean, boolean) - Method in class org.apache.mahout.common.AbstractJob
parseDescriptor(CharSequence) - Static method in class org.apache.mahout.classifier.df.data.DescriptorUtils: Deprecated.

Parses a descriptor string and generates the corresponding array of Attributes
parseDirectories(CommandLine, boolean, boolean) - Method in class org.apache.mahout.common.AbstractJob: Obtain input and output directories from command-line options or hadoop properties.
parseElement(ResultSet) - Method in class org.apache.mahout.cf.taste.impl.common.jdbc.ResultSetIterator
parseMetaData(CharSequence) - Static method in class org.apache.mahout.math.hadoop.decomposer.EigenVector
parseMetaData() - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVector
parseOutput(Job) - Method in class org.apache.mahout.classifier.df.mapreduce.Builder: Deprecated.

Parse the output files to extract the trees and pass the predictions to the callback
parseOutput(Job) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemBuilder: Deprecated.
parseOutput(Job) - Method in class org.apache.mahout.classifier.df.mapreduce.partial.PartialBuilder: Deprecated.
parseParams(String) - Static method in class org.apache.mahout.common.Parameters
partFilter() - Static method in class org.apache.mahout.common.iterator.sequencefile.PathFilters
PartialBuilder - Class in org.apache.mahout.classifier.df.mapreduce.partial: Deprecated.
PartialBuilder(TreeBuilder, Path, Path, Long) - Constructor for class org.apache.mahout.classifier.df.mapreduce.partial.PartialBuilder: Deprecated.
PartialBuilder(TreeBuilder, Path, Path, Long, Configuration) - Constructor for class org.apache.mahout.classifier.df.mapreduce.partial.PartialBuilder: Deprecated.
PartialMultiplyMapper - Class in org.apache.mahout.cf.taste.hadoop.item: maps similar items and their preference values per user
PartialMultiplyMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.PartialMultiplyMapper
PartialVectorMerger - Class in org.apache.mahout.vectorizer.common: This class groups a set of input vectors.
PartialVectorMergeReducer - Class in org.apache.mahout.vectorizer.common: Merges partial vectors in to a full sparse vector
PartialVectorMergeReducer() - Constructor for class org.apache.mahout.vectorizer.common.PartialVectorMergeReducer
partition() - Method in class org.apache.mahout.classifier.df.mapreduce.partial.TreeID: Deprecated.

Data partition (InputSplit's index) that was used to grow the tree
PassiveAggressive - Class in org.apache.mahout.classifier.sgd: Online passive aggressive learner that tries to minimize the label ranking hinge loss.
PassiveAggressive(int, int) - Constructor for class org.apache.mahout.classifier.sgd.PassiveAggressive
PathDirectory - Class in org.apache.mahout.clustering.topdown: Contains list of all internal paths used in top down clustering.
PathFilters - Class in org.apache.mahout.common.iterator.sequencefile: Supplies some useful and repeatedly-used instances of PathFilter.
PathParameter - Class in org.apache.mahout.common.parameters
PathParameter(String, String, Configuration, Path, String) - Constructor for class org.apache.mahout.common.parameters.PathParameter
PathType - Enum in org.apache.mahout.common.iterator.sequencefile: Used by SequenceFileDirIterable and the like to select whether the input path specifies a directory to list, or a glob pattern.
Payload<T> - Interface in org.apache.mahout.ep: Payloads for evolutionary state must be copyable and updatable.
pdf(VectorWritable) - Method in class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
pdf(VectorWritable) - Method in class org.apache.mahout.clustering.iterator.DistanceMeasureCluster
pdf(O) - Method in interface org.apache.mahout.clustering.Model: Return the probability that the observation is described by this model
PearsonCorrelationSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity: An implementation of the Pearson correlation.
PearsonCorrelationSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.PearsonCorrelationSimilarity
PearsonCorrelationSimilarity(DataModel, Weighting) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.PearsonCorrelationSimilarity
PearsonCorrelationSimilarity - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence.measures
PearsonCorrelationSimilarity() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.PearsonCorrelationSimilarity
peek() - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
peek() - Method in interface org.apache.mahout.cf.taste.impl.common.LongPrimitiveIterator
peek() - Method in class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
percentCorrect() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
perplexity(Vector, Vector) - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel: \(sum_x sum_a (c_ai * log(p(x|i) * p(a|x)))\)
perplexityPath(Path, int) - Static method in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
persist(Path) - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer
persist(Path, boolean) - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
PersistenceStrategy - Interface in org.apache.mahout.cf.taste.impl.recommender.svd: Provides storage for Factorizations
persistVector(Path, int, Vector) - Method in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState
perTermLearningRate(int) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
perTermLearningRate(int) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
PlusAnonymousConcurrentUserDataModel - Class in org.apache.mahout.cf.taste.impl.model: This is a special thread-safe version of PlusAnonymousUserDataModel which allow multiple concurrent anonymous requests.
PlusAnonymousConcurrentUserDataModel(DataModel, int) - Constructor for class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
PlusAnonymousUserDataModel - Class in org.apache.mahout.cf.taste.impl.model: This DataModel decorator class is useful in a situation where you wish to recommend to a user that doesn't really exist yet in your actual DataModel.
PlusAnonymousUserDataModel(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
plusBlock(SparseRowBlockWritable) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockWritable: pluses one block into another.
plusRow(int, Vector) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockWritable
PolymorphicWritable - Class in org.apache.mahout.classifier.sgd: Utilities that write a class name and then serialize using writables.
populateClusterModels(Path, Configuration) - Static method in class org.apache.mahout.clustering.classify.ClusterClassificationMapper
POST_PROCESS_DIRECTORY - Static variable in class org.apache.mahout.clustering.topdown.PathDirectory
POWERITERS - Static variable in class org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver
predict(HmmModel, int) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmEvaluator: Predict a sequence of steps output states for the given HMM model
predict(HmmModel, int, long) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmEvaluator: Predict a sequence of steps output states for the given HMM model
PredictionMapper - Class in org.apache.mahout.cf.taste.hadoop.als: a multithreaded mapper that loads the feature matrices U and M into memory.
PredictionMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.als.PredictionMapper
PredictRatingsMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.als.FactorizationEvaluator.PredictRatingsMapper
predictTrace(Node, Data, String[]) - Static method in class org.apache.mahout.classifier.df.tools.TreeVisualizer: Deprecated.

Predict trace to String
predictTracePrint(Node, Data, String[]) - Static method in class org.apache.mahout.classifier.df.tools.TreeVisualizer: Deprecated.

Print predict trace
PrefAndSimilarityColumnWritable - Class in org.apache.mahout.cf.taste.hadoop.item
PrefAndSimilarityColumnWritable() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable
PrefAndSimilarityColumnWritable(float, Vector) - Constructor for class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable
Preference - Interface in org.apache.mahout.cf.taste.model: A Preference encapsulates an item and a preference value, which indicates the strength of the preference for it.
PreferenceArray - Interface in org.apache.mahout.cf.taste.model: An alternate representation of an array of Preference.
PreferenceEstimateCallable(Recommender, long, PreferenceArray, AtomicInteger) - Constructor for class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator.PreferenceEstimateCallable
PreferenceInferrer - Interface in org.apache.mahout.cf.taste.similarity: Implementations of this interface compute an inferred preference for a user and an item that the user has not expressed any preference for.
PreferenceShuffler(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer.PreferenceShuffler
PreferredItemsNeighborhoodCandidateItemsStrategy - Class in org.apache.mahout.cf.taste.impl.recommender
PreferredItemsNeighborhoodCandidateItemsStrategy() - Constructor for class org.apache.mahout.cf.taste.impl.recommender.PreferredItemsNeighborhoodCandidateItemsStrategy
prefix() - Method in class org.apache.mahout.common.parameters.AbstractParameter
prefix() - Method in interface org.apache.mahout.common.parameters.Parameter
prepareJob(Path, Path, Class<? extends InputFormat>, Class<? extends Mapper>, Class<? extends Writable>, Class<? extends Writable>, Class<? extends OutputFormat>) - Method in class org.apache.mahout.common.AbstractJob
prepareJob(Path, Path, Class<? extends InputFormat>, Class<? extends Mapper>, Class<? extends Writable>, Class<? extends Writable>, Class<? extends OutputFormat>, String) - Method in class org.apache.mahout.common.AbstractJob
prepareJob(Path, Path, Class<? extends Mapper>, Class<? extends Writable>, Class<? extends Writable>, Class<? extends Reducer>, Class<? extends Writable>, Class<? extends Writable>) - Method in class org.apache.mahout.common.AbstractJob
prepareJob(Path, Path, Class<? extends InputFormat>, Class<? extends Mapper>, Class<? extends Writable>, Class<? extends Writable>, Class<? extends Reducer>, Class<? extends Writable>, Class<? extends Writable>, Class<? extends OutputFormat>) - Method in class org.apache.mahout.common.AbstractJob
prepareJob(Path, Path, Class<? extends InputFormat>, Class<? extends Mapper>, Class<? extends Writable>, Class<? extends Writable>, Class<? extends OutputFormat>, Configuration) - Static method in class org.apache.mahout.common.HadoopUtil: Create a map-only Hadoop Job out of the passed in parameters.
prepareJob(Path, Path, Class<? extends InputFormat>, Class<? extends Mapper>, Class<? extends Writable>, Class<? extends Writable>, Class<? extends Reducer>, Class<? extends Writable>, Class<? extends Writable>, Class<? extends OutputFormat>, Configuration) - Static method in class org.apache.mahout.common.HadoopUtil: Create a map and reduce Hadoop job.
PreparePreferenceMatrixJob - Class in org.apache.mahout.cf.taste.hadoop.preparation
PreparePreferenceMatrixJob() - Constructor for class org.apache.mahout.cf.taste.hadoop.preparation.PreparePreferenceMatrixJob
prepareTraining() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
prepareTraining() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.SVDPlusPlusFactorizer
preventOverfitting - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer: Parameter used to prevent overfitting.
print(String, String, String[]) - Static method in class org.apache.mahout.classifier.df.tools.ForestVisualizer: Deprecated.

Print Decision Forest
print(Node, Dataset, String[]) - Static method in class org.apache.mahout.classifier.df.tools.TreeVisualizer: Deprecated.

Print Decision tree
print() - Method in class org.apache.mahout.common.Parameters
printHelp(Group) - Static method in class org.apache.mahout.common.CommandLineUtil
printHelpWithGenericOptions(Group) - Static method in class org.apache.mahout.common.CommandLineUtil: Print the options supported by GenericOptionsParser.
printHelpWithGenericOptions(Group, OptionException) - Static method in class org.apache.mahout.common.CommandLineUtil
prior - Variable in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
PRIOR_PATH_KEY - Static variable in class org.apache.mahout.clustering.iterator.ClusterIterator
PriorFunction - Interface in org.apache.mahout.classifier.sgd: A prior is used to regularize the learning algorithm.
process() - Method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessor: This method takes the clustered points output by the clustering algorithms as input and writes them into their respective clusters.
processFile(FileLineIterator, FastByIDMap<?>, FastByIDMap<FastByIDMap<Long>>, boolean) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
processFileWithoutID(FileLineIterator, FastByIDMap<FastIDSet>, FastByIDMap<FastByIDMap<Long>>) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
processLine(String, FastByIDMap<?>, FastByIDMap<FastByIDMap<Long>>, boolean) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel: Reads one line from the input file and adds the data to a FastByIDMap data structure which maps user IDs to preferences.
processLine(String, Vector) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory: Decodes a single line of CSV data and records the target and predictor variables in a record.
processLine(CharSequence, Vector, boolean) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory: Decodes a single line of CSV data and records the target(if retrunTarget is true) and predictor variables in a record.
processLine(String, Vector) - Method in interface org.apache.mahout.classifier.sgd.RecordFactory
processLineWithoutID(String, FastByIDMap<FastIDSet>, FastByIDMap<FastByIDMap<Long>>) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
processOneEstimate(float, Preference) - Method in class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator
processOneEstimate(float, Preference) - Method in class org.apache.mahout.cf.taste.impl.eval.AverageAbsoluteDifferenceRecommenderEvaluator
processOneEstimate(float, Preference) - Method in class org.apache.mahout.cf.taste.impl.eval.RMSRecommenderEvaluator
processOtherUser(long, FastIDSet, FastByIDMap<PreferenceArray>, long, DataModel) - Method in interface org.apache.mahout.cf.taste.eval.RelevantItemsDataSplitter: Adds a single user and all their preferences to the training model.
processOtherUser(long, FastIDSet, FastByIDMap<PreferenceArray>, long, DataModel) - Method in class org.apache.mahout.cf.taste.impl.eval.GenericRelevantItemsDataSplitter
processOutput(JobContext, Path, TreeID[], Node[]) - Static method in class org.apache.mahout.classifier.df.mapreduce.partial.PartialBuilder: Deprecated.

Processes the output from the output path.
processSubgram(Iterator<Gram>, Reducer<GramKey, Gram, Gram, Gram>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.CollocReducer: Sum frequencies for subgram, ngrams and deliver ngram, subgram pairs to the collector.
processTfIdf(Path, Path, Configuration, Pair<Long[], List<Path>>, int, long, float, boolean, boolean, boolean, int) - Static method in class org.apache.mahout.vectorizer.tfidf.TFIDFConverter: Create Term Frequency-Inverse Document Frequency (Tf-Idf) Vectors from the input set of vectors in SequenceFile format.
processUnigram(Iterator<Gram>, Reducer<GramKey, Gram, Gram, Gram>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.CollocReducer: Sum frequencies for unigrams and deliver to the collector
ProjectionSearch - Class in org.apache.mahout.math.neighborhood: Does approximate nearest neighbor dudes search by projecting the data.
ProjectionSearch(DistanceMeasure, int, int) - Constructor for class org.apache.mahout.math.neighborhood.ProjectionSearch
PROP_AROWBLOCK_SIZE - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.QJob
PROP_AROWBLOCK_SIZE - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRFirstStep
PROP_BT_BROADCAST - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob
PROP_BT_BROADCAST - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob
PROP_BT_PATH - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob
PROP_BT_PATH - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob
PROP_K - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.QJob
PROP_K - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRFirstStep
PROP_K - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob
PROP_NV - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob
PROP_OMEGA_SEED - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.QJob
PROP_OMEGA_SEED - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob
PROP_OUPTUT_BBT_PRODUCTS - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob
PROP_OUTER_PROD_BLOCK_HEIGHT - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob
PROP_P - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.QJob
PROP_P - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRFirstStep
PROP_P - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob
PROP_QJOB_PATH - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob
PROP_RHAT_BROADCAST - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob
PROP_SB_PATH - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob
PROP_SB_PATH - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.QJob
PROP_SQ_PATH - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob
PROP_SQ_PATH - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.VJob
PROP_XI_PATH - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob
PROP_XI_PATH - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob
PROP_XI_PATH - Static variable in class org.apache.mahout.math.hadoop.stochasticsvd.VJob
PrunedPartialVectorMergeReducer - Class in org.apache.mahout.vectorizer.pruner
PrunedPartialVectorMergeReducer() - Constructor for class org.apache.mahout.vectorizer.pruner.PrunedPartialVectorMergeReducer
pruneVectors(Path, Path, Path, long, long, Configuration, Pair<Long[], List<Path>>, float, boolean, int) - Static method in class org.apache.mahout.vectorizer.HighDFWordsPruner
put(long, V) - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
put(K, V) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
putAll(Map<? extends K, ? extends V>) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
putCount(String, String, int) - Method in class org.apache.mahout.classifier.ConfusionMatrix

Q

qhatCollector - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer
qhatCollector - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer
QJob - Class in org.apache.mahout.math.hadoop.stochasticsvd: Compute first level of QHat-transpose blocks.
QJob.QMapper - Class in org.apache.mahout.math.hadoop.stochasticsvd
QMapper() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.QJob.QMapper
qr - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer
qr - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer
QRFirstStep - Class in org.apache.mahout.math.hadoop.stochasticsvd.qr: QR first step without MR abstractions and doing it just in terms of iterators and collectors.
QRFirstStep(Configuration, OutputCollector<? super Writable, ? super DenseBlockWritable>, OutputCollector<? super Writable, ? super VectorWritable>) - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRFirstStep
QRLastStep - Class in org.apache.mahout.math.hadoop.stochasticsvd.qr: Second/last step of QR iterations.
QRLastStep(Iterator<DenseBlockWritable>, Iterator<VectorWritable>, int) - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRLastStep
QRReducer() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer
QRReducer() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer

R

random - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer.PreferenceShuffler
RANDOM_INIT - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver: Whether to use k-means++ initialization or random initialization of the seed centroids.
RANDOM_SEED - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
RANDOM_SEED - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
randomAttributes(Random, boolean[], int) - Static method in class org.apache.mahout.classifier.df.builder.DefaultTreeBuilder: Deprecated.

Randomly selects m attributes to consider for split, excludes IGNORED and LABEL attributes
randomNoise - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer: Standard deviation for random initialization of features
RandomProjector - Class in org.apache.mahout.math.random
RandomRecommender - Class in org.apache.mahout.cf.taste.impl.recommender: Produces random recommendations and preference estimates.
RandomRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.RandomRecommender
RandomSeedGenerator - Class in org.apache.mahout.clustering.kmeans: Given an Input Path containing a SequenceFile, randomly select k vectors and write them to the output file as a Kluster representing the initial centroid to use.
RandomSequenceGenerator - Class in org.apache.mahout.classifier.sequencelearning.hmm: Command-line tool for generating random sequences by given HMM
RankingGradient - Class in org.apache.mahout.classifier.sgd: Uses the difference between this instance and recent history to get a gradient that optimizes ranking performance.
RankingGradient(int) - Constructor for class org.apache.mahout.classifier.sgd.RankingGradient
RATING_MATRIX - Static variable in class org.apache.mahout.cf.taste.hadoop.preparation.PreparePreferenceMatrixJob
RATING_SHIFT - Static variable in class org.apache.mahout.cf.taste.hadoop.ToEntityPrefsMapper
RatingSGDFactorizer - Class in org.apache.mahout.cf.taste.impl.recommender.svd: Matrix factorization with user and item biases for rating prediction, trained with plain vanilla SGD
RatingSGDFactorizer(DataModel, int, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
RatingSGDFactorizer(DataModel, int, double, double, double, int, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
ratingVector(PreferenceArray) - Static method in class org.apache.mahout.cf.taste.impl.recommender.svd.ALSWRFactorizer
RAW_EIGENVECTORS - Static variable in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver: Deprecated.
rBeta(double, double) - Static method in class org.apache.mahout.clustering.UncommonDistributions: Returns a random sample from a beta distribution with the given shapes
rBinomial(int, double) - Static method in class org.apache.mahout.clustering.UncommonDistributions: Returns an integer sampled according to this distribution.
read(DataInput) - Static method in class org.apache.mahout.classifier.df.DecisionForest: Deprecated.

Read the forest from inputStream
read(DataInput) - Static method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit: Deprecated.
read(DataInput) - Static method in class org.apache.mahout.classifier.df.node.Node: Deprecated.
read(DataInput, Class<? extends T>) - Static method in class org.apache.mahout.classifier.sgd.PolymorphicWritable
read(DataInput) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.CentroidWritable
read(Path, Configuration) - Static method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.Vectors
read(Configuration, Path...) - Static method in class org.apache.mahout.math.MatrixUtils
read(DataInput) - Static method in class org.apache.mahout.math.MultiLabelVectorWritable
readAsIntMap(Path, Configuration) - Static method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.Vectors
readBinary(DataInput) - Static method in class org.apache.mahout.cf.taste.impl.recommender.svd.FilePersistenceStrategy
readBinary(InputStream, Class<T>) - Static method in class org.apache.mahout.classifier.sgd.ModelSerializer
readDictionary(Configuration, Path...) - Static method in class org.apache.mahout.math.MatrixUtils
readDoubleArray(DataInput) - Static method in class org.apache.mahout.classifier.df.DFUtils: Deprecated.

Reads a double[] from a DataInput
readFields(DataInput) - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
readFields(DataInput) - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
readFields(DataInput) - Method in class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable
readFields(DataInput) - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable
readFields(DataInput) - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
readFields(DataInput) - Method in class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
readFields(DataInput) - Method in class org.apache.mahout.classifier.df.DecisionForest: Deprecated.

Reads the trees from the input and adds them to the existing trees
readFields(DataInput) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit: Deprecated.
readFields(DataInput) - Method in class org.apache.mahout.classifier.df.mapreduce.MapredOutput: Deprecated.
readFields(DataInput) - Method in class org.apache.mahout.classifier.df.node.CategoricalNode: Deprecated.
readFields(DataInput) - Method in class org.apache.mahout.classifier.df.node.Leaf: Deprecated.
readFields(DataInput) - Method in class org.apache.mahout.classifier.df.node.NumericalNode: Deprecated.
readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.TrainingExample
readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.ElasticBandPrior
readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.GradientMachine
readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.L1
readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.L2
readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive
readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.TPrior
readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.UniformPrior
readFields(DataInput) - Method in class org.apache.mahout.clustering.AbstractCluster
readFields(DataInput) - Method in class org.apache.mahout.clustering.classify.ClusterClassifier
readFields(DataInput) - Method in class org.apache.mahout.clustering.classify.WeightedPropertyVectorWritable
readFields(DataInput) - Method in class org.apache.mahout.clustering.classify.WeightedVectorWritable
readFields(DataInput) - Method in class org.apache.mahout.clustering.iterator.AbstractClusteringPolicy
readFields(DataInput) - Method in class org.apache.mahout.clustering.iterator.CanopyClusteringPolicy: Deprecated.
readFields(DataInput) - Method in class org.apache.mahout.clustering.iterator.ClusteringPolicyWritable
readFields(DataInput) - Method in class org.apache.mahout.clustering.iterator.ClusterWritable
readFields(DataInput) - Method in class org.apache.mahout.clustering.iterator.DistanceMeasureCluster
readFields(DataInput) - Method in class org.apache.mahout.clustering.iterator.FuzzyKMeansClusteringPolicy
readFields(DataInput) - Method in class org.apache.mahout.clustering.iterator.KMeansClusteringPolicy
readFields(DataInput) - Method in class org.apache.mahout.clustering.kmeans.Kluster
readFields(DataInput) - Method in class org.apache.mahout.clustering.spectral.IntDoublePairWritable
readFields(DataInput) - Method in class org.apache.mahout.clustering.spectral.VertexWritable
readFields(DataInput) - Method in class org.apache.mahout.clustering.streaming.mapreduce.CentroidWritable
readFields(DataInput) - Method in class org.apache.mahout.common.IntegerTuple
readFields(DataInput) - Method in class org.apache.mahout.common.IntPairWritable
readFields(DataInput) - Method in class org.apache.mahout.common.StringTuple
readFields(DataInput) - Method in class org.apache.mahout.ep.EvolutionaryProcess
readFields(DataInput) - Method in class org.apache.mahout.ep.Mapping.Exponential
readFields(DataInput) - Method in class org.apache.mahout.ep.Mapping.Identity
readFields(DataInput) - Method in class org.apache.mahout.ep.Mapping.LogLimit
readFields(DataInput) - Method in class org.apache.mahout.ep.Mapping.SoftLimit
readFields(DataInput) - Method in class org.apache.mahout.ep.State
readFields(DataInput) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
readFields(DataInput) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.DenseBlockWritable
readFields(DataInput) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockWritable
readFields(DataInput) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable
readFields(DataInput) - Method in class org.apache.mahout.math.MultiLabelVectorWritable
readFields(DataInput) - Method in class org.apache.mahout.math.stats.GlobalOnlineAuc
readFields(DataInput) - Method in class org.apache.mahout.math.stats.GroupedOnlineAuc
readFields(DataInput) - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
readFields(DataInput) - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey
readFromSeqFiles(Configuration, Path) - Method in class org.apache.mahout.clustering.classify.ClusterClassifier
readID(String, boolean) - Static method in class org.apache.mahout.cf.taste.hadoop.TasteHadoopUtils
readIDIndexMap(String, Configuration) - Static method in class org.apache.mahout.cf.taste.hadoop.TasteHadoopUtils: Reads a binary mapping file
readIDs() - Method in class org.apache.mahout.cf.taste.hadoop.item.IDReader: Reads user ids and item ids from files specified in a job configuration
readIndexFromCache(Configuration) - Static method in class org.apache.mahout.classifier.naivebayes.BayesUtils
readInt(Path, Configuration) - Static method in class org.apache.mahout.common.HadoopUtil
readIntArray(DataInput) - Static method in class org.apache.mahout.classifier.df.DFUtils: Deprecated.

Reads an int[] from a DataInput
readItemIDFromString(String) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel: Subclasses may wish to override this if ID values in the file are not numeric.
readLabelIndex(Configuration, Path) - Static method in class org.apache.mahout.classifier.naivebayes.BayesUtils
readModelFromDir(Path, Configuration) - Static method in class org.apache.mahout.classifier.naivebayes.BayesUtils
readNodeArray(DataInput) - Static method in class org.apache.mahout.classifier.df.DFUtils: Deprecated.

Reads a Node[] from a DataInput
readPerplexity(Configuration, Path, int) - Static method in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
readPolicy(Path) - Static method in class org.apache.mahout.clustering.classify.ClusterClassifier
readScoresFromCache(Configuration) - Static method in class org.apache.mahout.classifier.naivebayes.BayesUtils
readTimestampFromString(String) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel: Subclasses may wish to override this to change how time values in the input file are parsed.
readUserIDFromString(String) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel: Subclasses may wish to override this if ID values in the file are not numeric.
recommend(long, int) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender: Default implementation which just calls Recommender.recommend(long, int, org.apache.mahout.cf.taste.recommender.IDRescorer), with a Rescorer that does nothing.
recommend(long, int, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender: Default implementation which just calls Recommender.recommend(long, int, org.apache.mahout.cf.taste.recommender.IDRescorer), with a Rescorer that does nothing.
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender: Delegates to Recommender.recommend(long, int, IDRescorer, boolean)
recommend(long, int) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
recommend(long, int, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
recommend(long, int, IDRescorer, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
recommend(long, int, IDRescorer, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
recommend(long, int, IDRescorer, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
recommend(long, int, IDRescorer, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
recommend(long, int, IDRescorer, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
recommend(long, int, IDRescorer, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.RandomRecommender
recommend(long, int, IDRescorer, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender
recommend(long, int) - Method in interface org.apache.mahout.cf.taste.recommender.Recommender
recommend(long, int, boolean) - Method in interface org.apache.mahout.cf.taste.recommender.Recommender
recommend(long, int, IDRescorer) - Method in interface org.apache.mahout.cf.taste.recommender.Recommender
recommend(long, int, IDRescorer, boolean) - Method in interface org.apache.mahout.cf.taste.recommender.Recommender
recommendedBecause(long, long, int) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
recommendedBecause(long, long, int) - Method in interface org.apache.mahout.cf.taste.recommender.ItemBasedRecommender: Lists the items that were most influential in recommending a given item to a given user.
RecommendedItem - Interface in org.apache.mahout.cf.taste.recommender: Implementations encapsulate items that are recommended, and include the item recommended and a value expressing the strength of the preference.
RecommendedItemsWritable - Class in org.apache.mahout.cf.taste.hadoop: A Writable which encapsulates a list of RecommendedItems.
RecommendedItemsWritable() - Constructor for class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
RecommendedItemsWritable(List<RecommendedItem>) - Constructor for class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
Recommender - Interface in org.apache.mahout.cf.taste.recommender: Implementations of this interface can recommend items for a user.
RecommenderBuilder - Interface in org.apache.mahout.cf.taste.eval: Implementations of this inner interface are simple helper classes which create a Recommender to be evaluated based on the given DataModel.
RecommenderEvaluator - Interface in org.apache.mahout.cf.taste.eval: Implementations of this interface evaluate the quality of a Recommender's recommendations.
RecommenderIRStatsEvaluator - Interface in org.apache.mahout.cf.taste.eval: Implementations collect information retrieval-related statistics on a Recommender's performance, including precision, recall and f-measure.
RecommenderJob - Class in org.apache.mahout.cf.taste.hadoop.als: Computes the top-N recommendations per user from a decomposition of the rating matrix
RecommenderJob() - Constructor for class org.apache.mahout.cf.taste.hadoop.als.RecommenderJob
RecommenderJob - Class in org.apache.mahout.cf.taste.hadoop.item: Runs a completely distributed recommender job as a series of mapreduces.
RecommenderJob() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.RecommenderJob
RecordFactory - Interface in org.apache.mahout.classifier.sgd: A record factor understands how to convert a line of data into fields and then into a vector.
reduce(VarLongWritable, Iterable<PrefAndSimilarityColumnWritable>, Reducer<VarLongWritable, PrefAndSimilarityColumnWritable, VarLongWritable, RecommendedItemsWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.AggregateAndRecommendReducer
reduce(VarLongWritable, Iterable<VarLongWritable>, Reducer<VarLongWritable, VarLongWritable, VarIntWritable, VectorAndPrefsWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.ItemFilterAsVectorAndPrefsReducer
reduce(VarIntWritable, Iterable<VarLongWritable>, Reducer<VarIntWritable, VarLongWritable, VarIntWritable, VarLongWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.ItemIDIndexReducer
reduce(VarLongWritable, Iterable<VarLongWritable>, Reducer<VarLongWritable, VarLongWritable, VarLongWritable, VectorWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.ToUserVectorsReducer
reduce(VarIntWritable, Iterable<VectorOrPrefWritable>, Reducer<VarIntWritable, VectorOrPrefWritable, VarIntWritable, VectorAndPrefsWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.ToVectorAndPrefReducer
reduce(IntWritable, Iterable<VectorWritable>, Reducer<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.preparation.ToItemVectorsReducer
reduce(EntityEntityWritable, Iterable<DoubleWritable>, Reducer<EntityEntityWritable, DoubleWritable, EntityEntityWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob.MostSimilarItemPairsReducer
reduce(Text, Iterable<VectorWritable>, Reducer<Text, VectorWritable, Text, ClusterWritable>.Context) - Method in class org.apache.mahout.clustering.canopy.CanopyReducer: Deprecated.
reduce(IntWritable, Iterable<ClusterWritable>, Reducer<IntWritable, ClusterWritable, IntWritable, ClusterWritable>.Context) - Method in class org.apache.mahout.clustering.iterator.CIReducer
reduce(IntWritable, Iterable<DistributedRowMatrix.MatrixEntryWritable>, Reducer<IntWritable, DistributedRowMatrix.MatrixEntryWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.AffinityMatrixInputReducer
reduce(NullWritable, Iterable<IntDoublePairWritable>, Reducer<NullWritable, IntDoublePairWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.MatrixDiagonalizeJob.MatrixDiagonalizeReducer
reduce(IntWritable, Iterable<CentroidWritable>, Reducer<IntWritable, CentroidWritable, IntWritable, CentroidWritable>.Context) - Method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansReducer
reduce(IntWritable, Iterable<VectorWritable>, Reducer<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessorReducer: The key is the remapped cluster id and the values contains the vectors in that cluster.
reduce(WritableComparable<?>, Iterable<VectorWritable>, Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.common.mapreduce.MergeVectorsCombiner
reduce(WritableComparable<?>, Iterable<VectorWritable>, Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.common.mapreduce.MergeVectorsReducer
reduce(WritableComparable<?>, Iterable<VectorWritable>, Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.common.mapreduce.VectorSumCombiner
reduce(WritableComparable<?>, Iterable<VectorWritable>, Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.common.mapreduce.VectorSumReducer
reduce(NullWritable, Iterable<VectorWritable>, Reducer<NullWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.MatrixColumnMeansJob.MatrixColumnMeansReducer
reduce(IntWritable, Iterator<VectorWritable>, OutputCollector<IntWritable, VectorWritable>, Reporter) - Method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob.MatrixMultiplicationReducer
reduce(IntWritable, Iterable<VectorWritable>, Reducer<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.MergeToTopKSimilaritiesReducer
reduce(IntWritable, Iterable<VectorWritable>, Reducer<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.MergeVectorsReducer
reduce(IntWritable, Iterable<VectorWritable>, Reducer<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.SimilarityReducer
reduce(NullWritable, Iterable<VectorWritable>, Reducer<NullWritable, VectorWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.SumObservationsReducer
reduce(IntWritable, Iterable<DoubleWritable>, Reducer<IntWritable, DoubleWritable, IntWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stats.StandardDeviationCalculatorReducer
reduce(SplitPartitionedWritable, Iterable<DenseBlockWritable>, Reducer<SplitPartitionedWritable, DenseBlockWritable, SplitPartitionedWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer
reduce(SplitPartitionedWritable, Iterable<SparseRowBlockWritable>, Reducer<SplitPartitionedWritable, SparseRowBlockWritable, SplitPartitionedWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer
reduce(Writable, Iterable<SparseRowBlockWritable>, Reducer<Writable, SparseRowBlockWritable, Writable, SparseRowBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductCombiner
reduce(LongWritable, Iterable<SparseRowBlockWritable>, Reducer<LongWritable, SparseRowBlockWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductReducer
reduce(IntWritable, Iterable<VectorWritable>, Reducer<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob.YtYReducer
reduce(NullWritable, Iterable<VectorWritable>, Reducer<NullWritable, VectorWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.VectorSummingReducer
reduce(GramKey, Iterable<Gram>, Reducer<GramKey, Gram, GramKey, Gram>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.CollocCombiner
reduce(GramKey, Iterable<Gram>, Reducer<GramKey, Gram, Gram, Gram>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.CollocReducer: collocation finder: pass 1 reduce phase:
given input from the mapper,
reduce(Gram, Iterable<Gram>, Reducer<Gram, Gram, Text, DoubleWritable>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.LLRReducer: Perform LLR calculation, input is: k:ngram:ngramFreq v:(h_|t_)subgram:subgramfreq N = ngram total Each ngram will have 2 subgrams, a head and a tail, referred to as A and B respectively below.
reduce(WritableComparable<?>, Iterable<VectorWritable>, Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.common.PartialVectorMergeReducer
reduce(WritableComparable<?>, Iterable<VectorWritable>, Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.pruner.PrunedPartialVectorMergeReducer
reduce(WritableComparable<?>, Iterable<VectorWritable>, Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.pruner.WordsPrunerReducer
reduce(Text, Iterable<LongWritable>, Reducer<Text, LongWritable, Text, LongWritable>.Context) - Method in class org.apache.mahout.vectorizer.term.TermCountCombiner
reduce(Text, Iterable<LongWritable>, Reducer<Text, LongWritable, Text, LongWritable>.Context) - Method in class org.apache.mahout.vectorizer.term.TermCountReducer
reduce(IntWritable, Iterable<LongWritable>, Reducer<IntWritable, LongWritable, IntWritable, LongWritable>.Context) - Method in class org.apache.mahout.vectorizer.term.TermDocumentCountReducer
reduce(Text, Iterable<StringTuple>, Reducer<Text, StringTuple, Text, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.term.TFPartialVectorReducer
reduce(WritableComparable<?>, Iterable<VectorWritable>, Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.tfidf.TFIDFPartialVectorReducer
REDUCE_STREAMING_KMEANS - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver: Whether to run another pass of StreamingKMeans on the reducer's points before BallKMeans.
REDUCERS - Static variable in class org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver
refresh(Collection<Refreshable>) - Method in interface org.apache.mahout.cf.taste.common.Refreshable: Triggers "refresh" -- whatever that means -- of the implementation.
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.common.RefreshHelper: Typically this is called in Refreshable.refresh(java.util.Collection) and is the entire body of that method.
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractIDMigrator
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileIDMigrator
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.neighborhood.CachingUserNeighborhood
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractCandidateItemsStrategy
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.RandomRecommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.AbstractFactorizer
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender: Refresh the data model and factorization.
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.AbstractItemSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.AveragingPreferenceInferrer
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingUserSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.CityBlockSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.SpearmanCorrelationSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity
Refreshable - Interface in org.apache.mahout.cf.taste.common: Implementations of this interface have state that can be periodically refreshed.
RefreshHelper - Class in org.apache.mahout.cf.taste.impl.common: A helper class for implementing Refreshable.
RefreshHelper(Callable<?>) - Constructor for class org.apache.mahout.cf.taste.impl.common.RefreshHelper
registerHiddenStateNames(String[]) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel: Register an array of hidden state Names.
registerHiddenStateNames(Map<String, Integer>) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel: Register a map of hidden state Names/state IDs
registerOutputStateNames(String[]) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel: Register an array of hidden state Names.
registerOutputStateNames(Map<String, Integer>) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel: Register a map of hidden state Names/state IDs
RegressionResultAnalyzer - Class in org.apache.mahout.classifier: ResultAnalyzer captures the classification statistics and displays in a tabular manner
RegressionResultAnalyzer() - Constructor for class org.apache.mahout.classifier.RegressionResultAnalyzer
RegressionSplit - Class in org.apache.mahout.classifier.df.split: Deprecated.
RegressionSplit() - Constructor for class org.apache.mahout.classifier.df.split.RegressionSplit: Deprecated.
regularization(double) - Method in class org.apache.mahout.classifier.sgd.GradientMachine: Chainable configuration option.
regularize(Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
rehash() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
rehash() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
rehash() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
reindexCentroids() - Method in class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans
releaseUser(Long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel: Release previously taken anonymous user and return it to the pool.
RelevantItemsDataSplitter - Interface in org.apache.mahout.cf.taste.eval: Implementations of this interface determine the items that are considered relevant, and splits data into a training and test subset, for purposes of precision/recall tests as implemented by implementations of RecommenderIRStatsEvaluator.
reload() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
reload() - Method in class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity
remove(K) - Method in class org.apache.mahout.cf.taste.impl.common.Cache: Uncaches any existing value for a given key.
remove(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
remove(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
remove(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
remove() - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
remove() - Method in class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
remove() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRLastStep
remove(Vector, double) - Method in class org.apache.mahout.math.neighborhood.BruteSearch
remove(Vector, double) - Method in class org.apache.mahout.math.neighborhood.FastProjectionSearch
remove(Vector, double) - Method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch
remove(Vector, double) - Method in class org.apache.mahout.math.neighborhood.ProjectionSearch
remove(Vector, double) - Method in class org.apache.mahout.math.neighborhood.Searcher
remove(Vector, double) - Method in class org.apache.mahout.math.neighborhood.UpdatableSearcher
removeAll(long[]) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
removeAll(FastIDSet) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
removeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage
removeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
removeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
removeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage
removeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
removeDatum(double) - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverage
removeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
removeDatum(double, double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
removeDatum(double, double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverageAndStdDev
removeDependency(Refreshable) - Method in class org.apache.mahout.cf.taste.impl.common.RefreshHelper
removeHash(WeightedThing<Vector>) - Static method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch
removeKeysMatching(Cache.MatchPredicate<K>) - Method in class org.apache.mahout.cf.taste.impl.common.Cache: Clears all cache entries whose key matches the given predicate.
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel: See the warning at FileDataModel.setPreference(long, long, float).
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender: Default implementation which just calls DataModel.removePreference(long, long) (Object, Object)}.
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
removePreference(long, long) - Method in interface org.apache.mahout.cf.taste.model.DataModel: Removes a particular preference for a user.
removePreference(long, long) - Method in interface org.apache.mahout.cf.taste.recommender.Recommender
removeValueMatching(Cache.MatchPredicate<V>) - Method in class org.apache.mahout.cf.taste.impl.common.Cache: Clears all cache entries whose value matches the given predicate.
renormalize() - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
replaceAt(int, Integer) - Method in class org.apache.mahout.common.IntegerTuple: Replaces the string at the given index with the given newString
replaceAt(int, String) - Method in class org.apache.mahout.common.StringTuple: Replaces the string at the given index with the given newString
rescore(T, double) - Method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
rescore(long, double) - Method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
rescore(long, double) - Method in interface org.apache.mahout.cf.taste.recommender.IDRescorer
rescore(T, double) - Method in interface org.apache.mahout.cf.taste.recommender.Rescorer
Rescorer<T> - Interface in org.apache.mahout.cf.taste.recommender: A Rescorer simply assigns a new "score" to a thing like an ID of an item or user which a Recommender is considering returning as a top recommendation.
reset() - Method in class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator
reset() - Method in class org.apache.mahout.cf.taste.impl.eval.AverageAbsoluteDifferenceRecommenderEvaluator
reset() - Method in class org.apache.mahout.cf.taste.impl.eval.RMSRecommenderEvaluator
reset() - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
reset() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
resetEvaluationCount() - Method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch: This is only for testing.
resetLineCounter() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
ResplitSequenceFiles - Class in org.apache.mahout.clustering.streaming.tools
ResultAnalyzer - Class in org.apache.mahout.classifier: ResultAnalyzer captures the classification statistics and displays in a tabular manner
ResultAnalyzer(Collection<String>, String) - Constructor for class org.apache.mahout.classifier.ResultAnalyzer
ResultSetIterator<T> - Class in org.apache.mahout.cf.taste.impl.common.jdbc
ResultSetIterator(DataSource, String) - Constructor for class org.apache.mahout.cf.taste.impl.common.jdbc.ResultSetIterator
retainAll(FastIDSet) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
retrievePerLabelThetaNormalizer() - Method in class org.apache.mahout.classifier.naivebayes.training.ComplementaryThetaTrainer
Retriever<K,V> - Interface in org.apache.mahout.cf.taste.impl.common: Implementations can retrieve a value for a given key.
retrieveTimesSquaredOutputVector(Path, Configuration) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
rGamma(double, double) - Static method in class org.apache.mahout.clustering.UncommonDistributions: Returns a double sampled according to this distribution.
rhatCollector - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer
rhatCollector - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer
RMSRecommenderEvaluator - Class in org.apache.mahout.cf.taste.impl.eval: A RecommenderEvaluator which computes the "root mean squared" difference between predicted and actual ratings for users.
RMSRecommenderEvaluator() - Constructor for class org.apache.mahout.cf.taste.impl.eval.RMSRecommenderEvaluator
rNorm(double, double) - Static method in class org.apache.mahout.clustering.UncommonDistributions: Return a random value from a normal distribution with the given mean and standard deviation
RowSimilarityJob - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence
RowSimilarityJob() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob
RowSimilarityJob.CooccurrencesMapper - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence
RowSimilarityJob.CountObservationsMapper - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence
RowSimilarityJob.MergeToTopKSimilaritiesReducer - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence
RowSimilarityJob.MergeVectorsReducer - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence
RowSimilarityJob.SimilarityReducer - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence
RowSimilarityJob.SumObservationsReducer - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence
RowSimilarityJob.UnsymmetrifyMapper - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence
RowSimilarityJob.VectorNormMapper - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence
rsplit(Random, int) - Method in class org.apache.mahout.classifier.df.data.Data: Deprecated.

Splits the data in two, returns one part, and this gets the rest of the data.
run(String[]) - Method in class org.apache.mahout.cf.taste.hadoop.als.DatasetSplitter
run(String[]) - Method in class org.apache.mahout.cf.taste.hadoop.als.FactorizationEvaluator
run(Mapper<K1, V1, K2, V2>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.als.MultithreadedSharingMapper
run(String[]) - Method in class org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob
run(String[]) - Method in class org.apache.mahout.cf.taste.hadoop.als.RecommenderJob
run(String[]) - Method in class org.apache.mahout.cf.taste.hadoop.item.RecommenderJob
run(String[]) - Method in class org.apache.mahout.cf.taste.hadoop.preparation.PreparePreferenceMatrixJob
run(String[]) - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob
run() - Method in class org.apache.mahout.classifier.df.mapreduce.Classifier: Deprecated.
run(String[]) - Method in class org.apache.mahout.classifier.df.tools.Describe
run(String[]) - Method in class org.apache.mahout.classifier.df.tools.Frequencies: Deprecated.
run(Configuration) - Method in class org.apache.mahout.classifier.df.tools.FrequenciesJob: Deprecated.
run(String[]) - Method in class org.apache.mahout.classifier.naivebayes.test.TestNaiveBayesDriver
run(String[]) - Method in class org.apache.mahout.classifier.naivebayes.training.TrainNaiveBayesJob
run(String[]) - Method in class org.apache.mahout.clustering.canopy.CanopyDriver: Deprecated.
run(Configuration, Path, Path, DistanceMeasure, double, double, double, double, int, boolean, double, boolean) - Static method in class org.apache.mahout.clustering.canopy.CanopyDriver: Deprecated.

Build a directory of Canopy clusters from the input arguments and, if requested, cluster the input vectors using these clusters
run(Configuration, Path, Path, DistanceMeasure, double, double, boolean, double, boolean) - Static method in class org.apache.mahout.clustering.canopy.CanopyDriver: Deprecated.

Convenience method to provide backward compatibility
run(Path, Path, DistanceMeasure, double, double, boolean, double, boolean) - Static method in class org.apache.mahout.clustering.canopy.CanopyDriver: Deprecated.

Convenience method creates new Configuration() Build a directory of Canopy clusters from the input arguments and, if requested, cluster the input vectors using these clusters
run(String[]) - Method in class org.apache.mahout.clustering.classify.ClusterClassificationDriver: CLI to run Cluster Classification Driver.
run(Configuration, Path, Path, Path, Double, boolean, boolean) - Static method in class org.apache.mahout.clustering.classify.ClusterClassificationDriver: Uses ClusterClassifier to classify input vectors into their respective clusters.
run(Configuration, Path, Path, Path, double, boolean, boolean) - Static method in class org.apache.mahout.clustering.classify.ClusterClassificationDriver
run(String[]) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver
run(Path, Path, Path, double, int, float, boolean, boolean, double, boolean) - Static method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver: Iterate over the input vectors to produce clusters and, if requested, use the results of the final iteration to cluster the input vectors.
run(Configuration, Path, Path, Path, double, int, float, boolean, boolean, double, boolean) - Static method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver: Iterate over the input vectors to produce clusters and, if requested, use the results of the final iteration to cluster the input vectors.
run(String[]) - Method in class org.apache.mahout.clustering.kmeans.KMeansDriver
run(Configuration, Path, Path, Path, double, int, boolean, double, boolean) - Static method in class org.apache.mahout.clustering.kmeans.KMeansDriver: Iterate over the input vectors to produce clusters and, if requested, use the results of the final iteration to cluster the input vectors.
run(Path, Path, Path, double, int, boolean, double, boolean) - Static method in class org.apache.mahout.clustering.kmeans.KMeansDriver: Iterate over the input vectors to produce clusters and, if requested, use the results of the final iteration to cluster the input vectors.
run(Reducer<DoubleWritable, DoubleWritable, DoubleWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.clustering.lda.cvb.CVB0Driver.DualDoubleSumReducer
run(String[]) - Method in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
run(Configuration, Path, Path, int, int, double, double, int, int, double, Path, Path, Path, long, float, int, int, int, int, boolean) - Method in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
run(String[]) - Method in class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0
run(String[]) - Method in class org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver
run(Configuration, Path, Path, int, int, DistanceMeasure, double, int, Path) - Static method in class org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver
run(Configuration, Path, Path, int, int, DistanceMeasure, double, int, Path, int, int, int, int) - Static method in class org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver: Run the Spectral KMeans clustering on the supplied arguments
run(String[]) - Method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver
run(Configuration, Path, Path) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver: Iterate over the input vectors to produce clusters and, if requested, use the results of the final iteration to cluster the input vectors.
run(String[]) - Method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessorDriver: CLI to run clustering post processor.
run(Path, Path, boolean) - Static method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessorDriver: Post processes the output of clustering algorithms and groups them into respective clusters.
run(String[]) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver.DistributedLanczosSolverJob: Deprecated.
run(String[]) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver: Deprecated.
run(Path, Path, Path, Path, int, int, boolean, int, double, double, boolean) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver: Deprecated.

Run the solver to produce raw eigenvectors, then run the EigenVerificationJob to clean them
run(Path, Path, Path, Path, int, int, boolean, int) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver: Deprecated.

Run the solver to produce the raw eigenvectors
run(String[]) - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob: Deprecated.
run(Path, Path, Path, Path, double, double, boolean, Configuration) - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob: Deprecated.

Run the job with the given arguments
run(Configuration, Path, Path) - Static method in class org.apache.mahout.math.hadoop.MatrixColumnMeansJob
run(Configuration, Path, Path, String) - Static method in class org.apache.mahout.math.hadoop.MatrixColumnMeansJob: Job for calculating column-wise mean of a DistributedRowMatrix
run(String[]) - Method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob
run(String[]) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob
run(String[]) - Method in class org.apache.mahout.math.hadoop.similarity.VectorDistanceSimilarityJob
run(Configuration, Path, Path, Path, DistanceMeasure, String) - Static method in class org.apache.mahout.math.hadoop.similarity.VectorDistanceSimilarityJob
run(Configuration, Path, Path, Path, DistanceMeasure, String, Double) - Static method in class org.apache.mahout.math.hadoop.similarity.VectorDistanceSimilarityJob
run(String[]) - Method in class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver.DistributedConjugateGradientSolverJob
run(String[]) - Method in class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver
run(Configuration, Path[], Path, Path, Path, Path, Path, int, int, int, int, int, int, boolean) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob
run(Configuration, Path[], Path, Path, int, int, int, int, int, int, boolean) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob
run(Configuration, Path[], Path, Path, Path, int, int, int, int, int, boolean, Class<? extends Writable>, boolean) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob
run(Configuration, Path[], Path, Path, int, int, int, int, long, int) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.QJob
run(String[]) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDCli
run() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver: run all SSVD jobs.
run(Configuration, Path, Path, Path, Path, int, int, Class<? extends Writable>, SSVDSolver.OutputScalingEnum) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.UJob
run(Configuration, Path, Path, Path, Path, Path, Path, int, int, SSVDSolver.OutputScalingEnum) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.VJob
run(Configuration, Path[], Path, int, int, long) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob
run(String[]) - Method in class org.apache.mahout.math.hadoop.TransposeJob
run(String[]) - Method in class org.apache.mahout.vectorizer.collocations.llr.CollocDriver
run(String[]) - Method in class org.apache.mahout.vectorizer.DictionaryVectorizer
run(String[]) - Method in class org.apache.mahout.vectorizer.EncodedVectorsFromSequenceFiles
run(String[]) - Method in class org.apache.mahout.vectorizer.SparseVectorsFromSequenceFiles
runIteration(Configuration, Path, Path, Path, int, int, int) - Method in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
runJob(Job) - Method in class org.apache.mahout.classifier.df.mapreduce.Builder: Deprecated.

Sequential implementation should override this method to simulate the job execution
runJob(Path, Path, int, int) - Static method in class org.apache.mahout.clustering.spectral.AffinityMatrixInputJob: Initializes and executes the job of reading the documents containing the data of the affinity matrix in (x_i, x_j, value) format.
runJob(Path, Path, int) - Static method in class org.apache.mahout.clustering.spectral.AffinityMatrixInputJob: A transparent wrapper for the above method which handles the tedious tasks of setting and retrieving system Paths.
runJob(Path, int) - Static method in class org.apache.mahout.clustering.spectral.MatrixDiagonalizeJob
runJob(Path, Path) - Static method in class org.apache.mahout.clustering.spectral.UnitVectorizerJob
runJob(Path, Vector, Path) - Static method in class org.apache.mahout.clustering.spectral.VectorMatrixMultiplicationJob: Invokes the job.
runJob(Path, Vector, Path, Path) - Static method in class org.apache.mahout.clustering.spectral.VectorMatrixMultiplicationJob
runJob(Configuration, LanczosState, int, boolean, String) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver: Deprecated.
runJob(Configuration, Path, Path, int, int, boolean, int, String) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver: Deprecated.

Factored-out LanczosSolver for the purpose of invoking it programmatically
runJob(Configuration, Path, Path, Path, boolean, double, int) - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob: Deprecated.

Progammatic invocation of run()
runJob(Path, Path, int, int, Vector, Preconditioner, int, double) - Method in class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver: Runs the distributed conjugate gradient solver programmatically to solve the system (A + lambda*I)x = b.
runLoad(Recommender) - Static method in class org.apache.mahout.cf.taste.impl.eval.LoadEvaluator
runLoad(Recommender, int) - Static method in class org.apache.mahout.cf.taste.impl.eval.LoadEvaluator
runMapReduce(Configuration, Path, Path) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver
RunningAverage - Interface in org.apache.mahout.cf.taste.impl.common: Interface for classes that can keep track of a running average of a series of numbers.
RunningAverageAndStdDev - Interface in org.apache.mahout.cf.taste.impl.common: Extends RunningAverage by adding standard deviation too.
RunningSumsGaussianAccumulator - Class in org.apache.mahout.clustering: An online Gaussian accumulator that uses a running power sums approach as reported on http://en.wikipedia.org/wiki/Standard_deviation Suffers from overflow, underflow and roundoff error but has minimal observe-time overhead
RunningSumsGaussianAccumulator() - Constructor for class org.apache.mahout.clustering.RunningSumsGaussianAccumulator

S

sample(Vector) - Method in class org.apache.mahout.math.stats.Sampler
sample() - Method in class org.apache.mahout.math.stats.Sampler
sampleFromPosterior() - Method in class org.apache.mahout.clustering.iterator.DistanceMeasureCluster
sampleFromPosterior() - Method in interface org.apache.mahout.clustering.Model
sampleFromPosterior(Model<O>[]) - Method in interface org.apache.mahout.clustering.ModelDistribution: Return a list of models sampled from the posterior
sampleFromPrior(int) - Method in interface org.apache.mahout.clustering.ModelDistribution: Return a list of models sampled from the prior
Sampler - Class in org.apache.mahout.math.stats: Discrete distribution sampler: Samples from a given discrete distribution: you provide a source of randomness and a Vector (cardinality N) which describes a distribution over [0,N), and calls to sample() sample from 0 to N using this distribution
Sampler(Random) - Constructor for class org.apache.mahout.math.stats.Sampler
Sampler(Random, double[]) - Constructor for class org.apache.mahout.math.stats.Sampler
Sampler(Random, Vector) - Constructor for class org.apache.mahout.math.stats.Sampler
sampleTerm(Vector) - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
sampleTerm(int) - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
SamplingCandidateItemsStrategy - Class in org.apache.mahout.cf.taste.impl.recommender: Returns all items that have not been rated by the user (3) and that were preferred by another user (2) that has preferred at least one item (1) that the current user has preferred too.
SamplingCandidateItemsStrategy(int, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.SamplingCandidateItemsStrategy: Defaults to using no limit (SamplingCandidateItemsStrategy.NO_LIMIT_FACTOR) for all factors, except candidatesPerUserFactor which defaults to SamplingCandidateItemsStrategy.DEFAULT_FACTOR.
SamplingCandidateItemsStrategy(int, int, int, int, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.SamplingCandidateItemsStrategy
SamplingIterable<T> - Class in org.apache.mahout.common.iterator: Wraps an Iterable whose Iterable.iterator() returns only some subset of the elements that it would, as determined by a iterator rate parameter.
SamplingIterable(Iterable<? extends T>, double) - Constructor for class org.apache.mahout.common.iterator.SamplingIterable
SamplingIterator<T> - Class in org.apache.mahout.common.iterator: Wraps an Iterator and returns only some subset of the elements that it would, as determined by a iterator rate parameter.
SamplingIterator(Iterator<? extends T>, double) - Constructor for class org.apache.mahout.common.iterator.SamplingIterator
SamplingIterator(RandomWrapper, Iterator<? extends T>, double) - Constructor for class org.apache.mahout.common.iterator.SamplingIterator
SamplingLongPrimitiveIterator - Class in org.apache.mahout.cf.taste.impl.common: Wraps a LongPrimitiveIterator and returns only some subset of the elements that it would, as determined by a sampling rate parameter.
SamplingLongPrimitiveIterator(LongPrimitiveIterator, double) - Constructor for class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
SamplingLongPrimitiveIterator(RandomWrapper, LongPrimitiveIterator, double) - Constructor for class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
save(Writable, Vector, Path, Configuration, boolean, boolean) - Static method in class org.apache.mahout.clustering.spectral.VectorCache
save(Writable, Vector, Path, Configuration) - Static method in class org.apache.mahout.clustering.spectral.VectorCache: Calls the save() method, setting the cache to overwrite any previous Path and to delete the path after exiting
saveVector(Vector, Path, Configuration) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDHelper: save single vector into hdfs file.
sb - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer
scale(VectorWritable) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesSquaredMapper
search(Vector, int) - Method in class org.apache.mahout.math.neighborhood.BruteSearch: Scans the list of reference vectors one at a time for @limit neighbors of the query vector.
search(Iterable<WeightedVector>, int, int) - Method in class org.apache.mahout.math.neighborhood.BruteSearch: Searches with a list full of queries in a threaded fashion.
search(Vector, int) - Method in class org.apache.mahout.math.neighborhood.FastProjectionSearch: When querying the Searcher for the closest vectors, a list of WeightedThings is returned.
search(Vector, int) - Method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch
search(Vector, int) - Method in class org.apache.mahout.math.neighborhood.ProjectionSearch: Searches for the query vector returning the closest limit referenceVectors.
search(Vector, int) - Method in class org.apache.mahout.math.neighborhood.Searcher: When querying the Searcher for the closest vectors, a list of WeightedThings is returned.
search(Iterable<? extends Vector>, int) - Method in class org.apache.mahout.math.neighborhood.Searcher
SEARCH_SIZE_OPTION - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver: When using approximate searches (anything that's not BruteSearch), more than just the seemingly closest element must be considered.
Searcher - Class in org.apache.mahout.math.neighborhood: Describes how to search a bunch of vectors.
Searcher(DistanceMeasure) - Constructor for class org.apache.mahout.math.neighborhood.Searcher
SEARCHER_CLASS_OPTION - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver: The Searcher class when performing nearest neighbor search in StreamingKMeans.
searcherFromConfiguration(Configuration) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansUtilsMR: Instantiates a searcher from a given configuration.
searchFirst(Vector, boolean) - Method in class org.apache.mahout.math.neighborhood.BruteSearch: Returns the closest vector to the query.
searchFirst(Vector, boolean) - Method in class org.apache.mahout.math.neighborhood.FastProjectionSearch: Returns the closest vector to the query.
searchFirst(Vector, boolean) - Method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch: Returns the closest vector to the query.
searchFirst(Vector, boolean) - Method in class org.apache.mahout.math.neighborhood.ProjectionSearch: Returns the closest vector to the query.
searchFirst(Vector, boolean) - Method in class org.apache.mahout.math.neighborhood.Searcher: Returns the closest vector to the query.
searchFirst(Iterable<? extends Vector>, boolean) - Method in class org.apache.mahout.math.neighborhood.Searcher
SEEDS - Static variable in class org.apache.mahout.math.hadoop.similarity.VectorDistanceSimilarityJob
SEEDS_PATH_KEY - Static variable in class org.apache.mahout.math.hadoop.similarity.VectorDistanceSimilarityJob
select(Vector) - Method in class org.apache.mahout.clustering.iterator.AbstractClusteringPolicy
select(Vector) - Method in class org.apache.mahout.clustering.iterator.CanopyClusteringPolicy: Deprecated.
select(Vector) - Method in interface org.apache.mahout.clustering.iterator.ClusteringPolicy: Return a vector of weights for each of the models given those probabilities
select(Vector) - Method in class org.apache.mahout.clustering.iterator.FuzzyKMeansClusteringPolicy
SequenceFileDirIterable<K extends org.apache.hadoop.io.Writable,V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.common.iterator.sequencefile: Iterable counterpart to SequenceFileDirIterator.
SequenceFileDirIterable(Path, PathType, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirIterable
SequenceFileDirIterable(Path, PathType, PathFilter, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirIterable
SequenceFileDirIterable(Path, PathType, PathFilter, Comparator<FileStatus>, boolean, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirIterable
SequenceFileDirIterator<K extends org.apache.hadoop.io.Writable,V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.common.iterator.sequencefile: Like SequenceFileIterator, but iterates not just over one sequence file, but many.
SequenceFileDirIterator(Path[], boolean, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirIterator: Multifile sequence file iterator where files are specified explicitly by path parameters.
SequenceFileDirIterator(Path, PathType, PathFilter, Comparator<FileStatus>, boolean, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirIterator: Constructor that uses either FileSystem.listStatus(Path) or FileSystem.globStatus(Path) to obtain list of files to iterate over (depending on pathType parameter).
SequenceFileDirValueIterable<V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.common.iterator.sequencefile: Iterable counterpart to SequenceFileDirValueIterator.
SequenceFileDirValueIterable(Path, PathType, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirValueIterable
SequenceFileDirValueIterable(Path, PathType, PathFilter, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirValueIterable
SequenceFileDirValueIterable(Path, PathType, PathFilter, Comparator<FileStatus>, boolean, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirValueIterable
SequenceFileDirValueIterator<V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.common.iterator.sequencefile: Like SequenceFileValueIterator, but iterates not just over one sequence file, but many.
SequenceFileDirValueIterator(Path, PathType, PathFilter, Comparator<FileStatus>, boolean, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirValueIterator: Constructor that uses either FileSystem.listStatus(Path) or FileSystem.globStatus(Path) to obtain list of files to iterate over (depending on pathType parameter).
SequenceFileDirValueIterator(Path[], Comparator<FileStatus>, boolean, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirValueIterator: Multifile sequence file iterator where files are specified explicitly by path parameters.
SequenceFileIterable<K extends org.apache.hadoop.io.Writable,V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.common.iterator.sequencefile: Iterable counterpart to SequenceFileIterator.
SequenceFileIterable(Path, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileIterable: Like SequenceFileIterable.SequenceFileIterable(Path, boolean, Configuration) but key and value instances are not reused by default.
SequenceFileIterable(Path, boolean, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileIterable
SequenceFileIterator<K extends org.apache.hadoop.io.Writable,V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.common.iterator.sequencefile: Iterator over a SequenceFile's keys and values, as a Pair containing key and value.
SequenceFileIterator(Path, boolean, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileIterator
SequenceFileTokenizerMapper - Class in org.apache.mahout.vectorizer.document: Tokenizes a text document and outputs tokens in a StringTuple
SequenceFileTokenizerMapper() - Constructor for class org.apache.mahout.vectorizer.document.SequenceFileTokenizerMapper
SequenceFileValueIterable<V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.common.iterator.sequencefile: Iterable counterpart to SequenceFileValueIterator.
SequenceFileValueIterable(Path, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileValueIterable: Like SequenceFileValueIterable.SequenceFileValueIterable(Path, boolean, Configuration) but instances are not reused by default.
SequenceFileValueIterable(Path, boolean, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileValueIterable
SequenceFileValueIterator<V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.common.iterator.sequencefile: Iterator over a SequenceFile's values only.
SequenceFileValueIterator(Path, boolean, Configuration) - Constructor for class org.apache.mahout.common.iterator.sequencefile.SequenceFileValueIterator
SEQUENTIAL_ACCESS - Static variable in class org.apache.mahout.vectorizer.common.PartialVectorMerger
SEQUENTIAL_METHOD - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
SequentialBuilder - Class in org.apache.mahout.classifier.df.ref: Deprecated.
SequentialBuilder(Random, TreeBuilder, Data) - Constructor for class org.apache.mahout.classifier.df.ref.SequentialBuilder: Deprecated.

Constructor
SequentialOutOfCoreSvd - Class in org.apache.mahout.math.ssvd: Sequential block-oriented out of core SVD algorithm.
SequentialOutOfCoreSvd(Iterable<File>, File, int, int) - Constructor for class org.apache.mahout.math.ssvd.SequentialOutOfCoreSvd
serialize(Path, Configuration) - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
serializeOutput(LanczosState, Path) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver: Deprecated.
set(float, Vector) - Method in class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable
set(Vector, List<Long>, List<Float>) - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable
set(long, float) - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
set(long, float) - Method in class org.apache.mahout.cf.taste.hadoop.MutableRecommendedItem
set(List<RecommendedItem>) - Method in class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
set(int, Preference) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
set(int, Preference) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
set(int, Preference) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
set(int, Preference) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
set(int, Preference) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray: Sets preference at i from information in the given Preference
set(long, double) - Method in class org.apache.mahout.cf.taste.similarity.precompute.SimilarItem
set(int, double) - Method in class org.apache.mahout.classifier.df.data.Instance: Deprecated.

Set the value at the given index
set(int, int) - Method in class org.apache.mahout.classifier.df.mapreduce.partial.TreeID: Deprecated.
set(int, int) - Method in class org.apache.mahout.common.IntPairWritable
set(T) - Method in class org.apache.mahout.common.parameters.AbstractParameter
set(T) - Method in interface org.apache.mahout.common.parameters.Parameter
set(String, String) - Method in class org.apache.mahout.common.Parameters
set(double) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.MutableElement
set(Gram, byte[]) - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey: set the gram held by this key
setAbtBlockHeight(int) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver: the block height of Y_i during power iterations.
setAnalyzer(Analyzer) - Method in class org.apache.mahout.vectorizer.encoders.LuceneTextValueEncoder
setAnalyzerClassName(String) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setAucEvaluator(OnlineAuc) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setAucEvaluator(OnlineAuc) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
setAucEvaluator(OnlineAuc) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
setAveragingWindow(int) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setBest(State<AdaptiveLogisticRegression.Wrapper, CrossFoldLearner>) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setBeta(int, int, double) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
setBlock(double[][]) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.DenseBlockWritable
setBroadcast(boolean) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver: If this property is true, use DestributedCache mechanism to broadcast some stuff around.
setBuffer(List<AdaptiveLogisticRegression.TrainingExample>) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setCardinality(int) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setCenter(Vector) - Method in class org.apache.mahout.clustering.AbstractCluster
setChunkSizeInMegabytes(int) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setClusteredPoints(Path) - Method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessor
setCol(int) - Method in class org.apache.mahout.clustering.spectral.VertexWritable
setCol(int) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
setComplemented(boolean) - Method in class org.apache.mahout.classifier.df.builder.DecisionTreeBuilder: Deprecated.
setComputeU(boolean) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver: The setting controlling whether to compute U matrix of low rank SSVD.
setComputeV(boolean) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver: Setting controlling whether to compute V matrix of low-rank SSVD.
setConf(Configuration) - Method in class org.apache.mahout.classifier.df.tools.Describe
setConf(Configuration) - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
setConf(Configuration) - Method in class org.apache.mahout.common.AbstractJob: Overrides the base implementation to install the Oozie action configuration resource into the provided Configuration object; note that ToolRunner calls setConf on the Tool before it invokes run.
setConf(Configuration) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver.DistributedLanczosSolverJob: Deprecated.
setConf(Configuration) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver: Deprecated.
setConf(Configuration) - Method in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState
setConf(Configuration) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
setConf(Configuration) - Method in class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver.DistributedConjugateGradientSolverJob
setConf(Configuration) - Method in class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver
setConf(Configuration) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setConverged(boolean) - Method in class org.apache.mahout.clustering.kmeans.Kluster
setCovarianceMatrix(Matrix) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure: Computes the inverse covariance from the input covariance matrix given in input.
setcUHalfSigma(boolean) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
setCurrentlyIncludeKnownItems(boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
setcUSigma(boolean) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
setcVHalfSigma(boolean) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
setcVSigma(boolean) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
setDictionary(Map<String, Double>) - Method in class org.apache.mahout.vectorizer.encoders.StaticWordValueEncoder: Sets the weighting dictionary to be used by this encoder.
setDistanceCutoff(double) - Method in class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans
setEigensToVerify(VectorIterable) - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob: Deprecated.
setEncoderClass(String) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setEncoderName(String) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setEp(EvolutionaryProcess<AdaptiveLogisticRegression.Wrapper, CrossFoldLearner>) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setExponent(double) - Method in class org.apache.mahout.common.distance.MinkowskiDistanceMeasure
setFirst(int) - Method in class org.apache.mahout.common.IntPairWritable
setFreezeSurvivors(boolean) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setFrequency(int) - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
setGradient(Gradient) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
setId(int) - Method in class org.apache.mahout.clustering.AbstractCluster
setId(int) - Method in class org.apache.mahout.ep.State
setIdName(String) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
setIgSplit(IgSplit) - Method in class org.apache.mahout.classifier.df.builder.DecisionTreeBuilder: Deprecated.
setIndex(int) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.MutableElement
setInstances(double[][]) - Method in class org.apache.mahout.classifier.RegressionResultAnalyzer
setInterval(int) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression: How often should the evolutionary optimization of learning parameters occur?
setInterval(int, int) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression: Starts optimization using the shorter interval and progresses to the longer using the specified number of steps per decade.
setInverseCovarianceMatrix(Matrix) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
setItemID(long) - Method in class org.apache.mahout.cf.taste.hadoop.MutableRecommendedItem
setItemID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray: Sets item ID for preference at i.
setItemID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
setItemID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray: Sets item ID for preference at i.
setItemID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
setItemID(int, long) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray: Sets item ID for preference at i.
setIterationNumber(int) - Method in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState
setKey(int) - Method in class org.apache.mahout.clustering.spectral.IntDoublePairWritable
setLabel(String) - Method in class org.apache.mahout.classifier.ClassifierResult
setLabels(int[]) - Method in class org.apache.mahout.math.MultiLabelVectorWritable
setLogLikelihood(double) - Method in class org.apache.mahout.classifier.ClassifierResult
setLogLikelihood(double) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
setLogNormalize(boolean) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setM(int) - Method in class org.apache.mahout.classifier.df.builder.DecisionTreeBuilder: Deprecated.
setM(int) - Method in class org.apache.mahout.classifier.df.builder.DefaultTreeBuilder: Deprecated.
setM(double) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
setMap(int, Mapping) - Method in class org.apache.mahout.ep.State: Defines the transformation for a parameter.
setMappings(State<AdaptiveLogisticRegression.Wrapper, CrossFoldLearner>) - Static method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
setMaps(Mapping[]) - Method in class org.apache.mahout.ep.State
setMaps(Iterable<Mapping>) - Method in class org.apache.mahout.ep.State
setMatrix(Matrix) - Method in class org.apache.mahout.classifier.ConfusionMatrix
setMaxBufferSize(int) - Method in class org.apache.mahout.classifier.evaluation.Auc
setMaxNGramSize(int) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setMaxPreference(float) - Method in interface org.apache.mahout.cf.taste.eval.RecommenderEvaluator: Deprecated.
setMaxPreference(float) - Method in class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator
setMaxPreference(float) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractDataModel
setMeanVector(Vector) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
setMeasure(DistanceMeasure) - Method in class org.apache.mahout.clustering.iterator.DistanceMeasureCluster
setMinLLRValue(float) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setMinPreference(float) - Method in interface org.apache.mahout.cf.taste.eval.RecommenderEvaluator: Deprecated.
setMinPreference(float) - Method in class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator
setMinPreference(float) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractDataModel
setMinSplitNum(int) - Method in class org.apache.mahout.classifier.df.builder.DecisionTreeBuilder: Deprecated.
setMinSplitSize(int) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver: Sometimes, if requested A blocks become larger than a split, we may need to use that to ensure at least k+p rows of A get into a split.
setMinSupport(int) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setMinVarianceProportion(double) - Method in class org.apache.mahout.classifier.df.builder.DecisionTreeBuilder: Deprecated.
setMissingValueWeight(double) - Method in class org.apache.mahout.vectorizer.encoders.StaticWordValueEncoder: Sets the weight that is to be used for values that do not appear in the dictionary.
setNamedVectors(boolean) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setNbTrees(Configuration, int) - Static method in class org.apache.mahout.classifier.df.mapreduce.Builder: Deprecated.

Set the number of trees to grow for the map-reduce job
setNormPower(float) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setNumFeatures(int) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
setNumObservations(long) - Method in class org.apache.mahout.clustering.AbstractCluster
setNumReducers(int) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setOmni(double) - Method in class org.apache.mahout.ep.State
setOuterBlockHeight(int) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver: The height of outer blocks during Q'A multiplication.
setOutputDirName(String) - Method in class org.apache.mahout.classifier.df.mapreduce.Builder: Deprecated.

Sets the Output directory name, will be creating in the working directory
setOutputTempPathString(String) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
setOverwrite(boolean) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver: if true, driver to clean output folder first if exists.
setParameters(double[]) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
setPayload(T) - Method in class org.apache.mahout.ep.State
setPcaMeanPath(Path) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver
setPolicy(GlobalOnlineAuc.ReplacementPolicy) - Method in class org.apache.mahout.math.stats.GlobalOnlineAuc
setPolicy(GlobalOnlineAuc.ReplacementPolicy) - Method in class org.apache.mahout.math.stats.GroupedOnlineAuc
setPolicy(GlobalOnlineAuc.ReplacementPolicy) - Method in interface org.apache.mahout.math.stats.OnlineAuc
setPoolSize(int) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel: Note that this method only updates the in-memory preference data that this FileDataModel maintains; it does not modify any data on disk.
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender: Default implementation which just calls DataModel.setPreference(long, long, float).
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
setPreference(long, long, float) - Method in interface org.apache.mahout.cf.taste.model.DataModel: Sets a particular preference (item plus rating) for a user.
setPreference(long, long, float) - Method in interface org.apache.mahout.cf.taste.recommender.Recommender
setPreferenceInferrer(PreferenceInferrer) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingUserSimilarity
setPreferenceInferrer(PreferenceInferrer) - Method in class org.apache.mahout.cf.taste.impl.similarity.CityBlockSimilarity
setPreferenceInferrer(PreferenceInferrer) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
setPreferenceInferrer(PreferenceInferrer) - Method in class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity
setPreferenceInferrer(PreferenceInferrer) - Method in class org.apache.mahout.cf.taste.impl.similarity.SpearmanCorrelationSimilarity
setPreferenceInferrer(PreferenceInferrer) - Method in class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity
setPreferenceInferrer(PreferenceInferrer) - Method in interface org.apache.mahout.cf.taste.similarity.UserSimilarity: Attaches a PreferenceInferrer to the UserSimilarity implementation.
setPrior(PriorFunction) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
setPrior(PriorFunction) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
setProbabilityScore(boolean) - Method in class org.apache.mahout.classifier.evaluation.Auc
setProbes(int) - Method in class org.apache.mahout.vectorizer.encoders.CachingContinuousValueEncoder
setProbes(int) - Method in class org.apache.mahout.vectorizer.encoders.CachingStaticWordValueEncoder
setProbes(int) - Method in class org.apache.mahout.vectorizer.encoders.CachingValueEncoder: Sets the number of locations in the feature vector that a value should be in.
setProbes(int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder: Sets the number of locations in the feature vector that a value should be in.
setProperties(Map<Text, Text>) - Method in class org.apache.mahout.clustering.classify.WeightedPropertyVectorWritable
setQ(int) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver: sets q, amount of additional power iterations to increase precision (0..2!).
setRadius(Vector) - Method in class org.apache.mahout.clustering.AbstractCluster
setRaiseHashLimitStrategy(double) - Method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch
setRecord(int) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setRecord(int) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
setRow(int) - Method in class org.apache.mahout.clustering.spectral.VertexWritable
setRow(int) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
setS0(double) - Method in class org.apache.mahout.clustering.AbstractCluster
setS1(Vector) - Method in class org.apache.mahout.clustering.AbstractCluster
setS2(Vector) - Method in class org.apache.mahout.clustering.AbstractCluster
setS3SafeCombinedInputPath(Job, Path, Path, Path) - Static method in class org.apache.mahout.common.AbstractJob: necessary to make this job (having a combined input path) work on Amazon S3, hopefully this is obsolete when MultipleInputs is available again
setScore(double) - Method in class org.apache.mahout.classifier.ClassifierResult
setSearchSize(int) - Method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch
setSecond(int) - Method in class org.apache.mahout.common.IntPairWritable
setSeed(State<AdaptiveLogisticRegression.Wrapper, CrossFoldLearner>) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setSequentialAccess(boolean) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setSerializations(Configuration) - Static method in class org.apache.mahout.common.HadoopUtil
setStep(double[]) - Method in class org.apache.mahout.ep.State
setStringValue(String) - Method in class org.apache.mahout.common.parameters.ClassParameter
setStringValue(String) - Method in class org.apache.mahout.common.parameters.DoubleParameter
setStringValue(String) - Method in interface org.apache.mahout.common.parameters.Parameter
setStringValue(String) - Method in class org.apache.mahout.common.parameters.PathParameter
setSum(double) - Method in class org.apache.mahout.math.hadoop.stats.VarianceTotals
setSumOfSquares(double) - Method in class org.apache.mahout.math.hadoop.stats.VarianceTotals
setT3(double) - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer: Deprecated.
setT4(double) - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer: Deprecated.
setTaskItemOrdinal(long) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable
setTempPrefs(PreferenceArray, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel: Sets temporary preferences for a given anonymous user.
setTempPrefs(PreferenceArray) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
setTfDirName(String) - Method in class org.apache.mahout.vectorizer.VectorizerConfig
setThreadCount(int) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setThreadCount(int) - Method in class org.apache.mahout.ep.EvolutionaryProcess
setTotalCount(double) - Method in class org.apache.mahout.math.hadoop.stats.VarianceTotals
setTotalObservations(long) - Method in class org.apache.mahout.clustering.AbstractCluster
setTraceDictionary(Map<String, Set<Integer>>) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
setType(String) - Method in class org.apache.mahout.clustering.spectral.VertexWritable
setup(Mapper<LongWritable, Text, DoubleWritable, NullWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.als.FactorizationEvaluator.PredictRatingsMapper
setup(Mapper<IntWritable, VectorWritable, LongWritable, RecommendedItemsWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.als.PredictionMapper
setup(Mapper.Context) - Method in class org.apache.mahout.cf.taste.hadoop.als.SolveExplicitFeedbackMapper
setup(Reducer<VarLongWritable, PrefAndSimilarityColumnWritable, VarLongWritable, RecommendedItemsWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.AggregateAndRecommendReducer
setup(Mapper<LongWritable, Text, VarIntWritable, VarLongWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.ItemIDIndexMapper
setup(Reducer<VarLongWritable, VarLongWritable, VarLongWritable, VectorWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.ToUserVectorsReducer
setup(Mapper<VarLongWritable, VectorWritable, VarIntWritable, VectorOrPrefWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.UserVectorSplitterMapper
setup(Mapper<IntWritable, VectorWritable, EntityEntityWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob.MostSimilarItemPairsMapper
setup(Mapper<LongWritable, Text, VarLongWritable, VarLongWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.ToEntityPrefsMapper
setup(Mapper<LongWritable, Text, DoubleWritable, Text>.Context) - Method in class org.apache.mahout.classifier.df.mapreduce.Classifier.CMapper: Deprecated.
setup(Mapper<IntWritable, NullWritable, IntWritable, MapredOutput>.Context) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemMapper: Deprecated.
setup(Mapper<KEYIN, VALUEIN, KEYOUT, VALUEOUT>.Context) - Method in class org.apache.mahout.classifier.df.mapreduce.MapredMapper: Deprecated.
setup(Mapper<LongWritable, Text, TreeID, MapredOutput>.Context) - Method in class org.apache.mahout.classifier.df.mapreduce.partial.Step1Mapper: Deprecated.
setup(Mapper<Text, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.test.BayesTestMapper
setup(Mapper<Text, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.training.IndexInstancesMapper
setup(Mapper<IntWritable, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.training.ThetaMapper
setup(Mapper<IntWritable, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.training.WeightsMapper
setup(Reducer<Text, VectorWritable, Text, ClusterWritable>.Context) - Method in class org.apache.mahout.clustering.canopy.CanopyReducer: Deprecated.
setup(Mapper<WritableComparable<?>, VectorWritable, IntWritable, WeightedVectorWritable>.Context) - Method in class org.apache.mahout.clustering.classify.ClusterClassificationMapper
setup(Mapper<WritableComparable<?>, VectorWritable, IntWritable, ClusterWritable>.Context) - Method in class org.apache.mahout.clustering.iterator.CIMapper
setup(Reducer<IntWritable, ClusterWritable, IntWritable, ClusterWritable>.Context) - Method in class org.apache.mahout.clustering.iterator.CIReducer
setup(Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.lda.cvb.CachingCVB0Mapper
setup(Mapper<IntWritable, VectorWritable, DoubleWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.clustering.lda.cvb.CachingCVB0PerplexityMapper
setup(Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.VectorMatrixMultiplicationJob.VectorMatrixMultiplicationMapper
setup(Mapper<Writable, VectorWritable, IntWritable, CentroidWritable>.Context) - Method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansMapper
setup(Reducer<IntWritable, CentroidWritable, IntWritable, CentroidWritable>.Context) - Method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansReducer
setup(Mapper<IntWritable, WeightedVectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessorMapper
setup(Reducer<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessorReducer
setup(Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.common.mapreduce.TransposeMapper
setup(Mapper<Writable, VectorWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.MatrixColumnMeansJob.MatrixColumnMeansMapper
setup(Reducer<NullWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.MatrixColumnMeansJob.MatrixColumnMeansReducer
setup(Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.CooccurrencesMapper
setup(Reducer<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.MergeToTopKSimilaritiesReducer
setup(Reducer<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.MergeVectorsReducer
setup(Reducer<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.SimilarityReducer
setup(Mapper.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.UnsymmetrifyMapper
setup(Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.VectorNormMapper
setup(Mapper<WritableComparable<?>, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.VectorDistanceInvertedMapper
setup(Mapper<WritableComparable<?>, VectorWritable, StringTuple, DoubleWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.VectorDistanceMapper
setup(Mapper<Writable, VectorWritable, SplitPartitionedWritable, DenseBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.ABtMapper
setup(Reducer<SplitPartitionedWritable, DenseBlockWritable, SplitPartitionedWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer
setup(Mapper<Writable, VectorWritable, SplitPartitionedWritable, SparseRowBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.ABtMapper
setup(Reducer<SplitPartitionedWritable, SparseRowBlockWritable, SplitPartitionedWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer
setup(Mapper<Writable, VectorWritable, LongWritable, SparseRowBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.BtMapper
setup(Reducer<Writable, SparseRowBlockWritable, Writable, SparseRowBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductCombiner
setup(Reducer<LongWritable, SparseRowBlockWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductReducer
setup(Mapper<Writable, VectorWritable, SplitPartitionedWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.QJob.QMapper
setup() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRFirstStep
setup(Mapper<Writable, VectorWritable, Writable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.UJob.UMapper
setup(Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.VJob.VMapper
setup(Mapper<Writable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob.YtYMapper
setup(Reducer<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob.YtYReducer
setup(Mapper<T, VectorWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesSquaredMapper
setup(Reducer<NullWritable, VectorWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.VectorSummingReducer
setup(Mapper<Text, StringTuple, GramKey, Gram>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.CollocMapper
setup(Reducer<GramKey, Gram, Gram, Gram>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.CollocReducer
setup(Reducer<Gram, Gram, Text, DoubleWritable>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.LLRReducer
setup(Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.common.PartialVectorMergeReducer
setup(Mapper<Text, Text, Text, StringTuple>.Context) - Method in class org.apache.mahout.vectorizer.document.SequenceFileTokenizerMapper
setup(Mapper<Text, Text, Text, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.EncodingMapper
setup(Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.pruner.PrunedPartialVectorMergeReducer
setup(Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.pruner.WordsPrunerReducer
setup(Reducer<Text, LongWritable, Text, LongWritable>.Context) - Method in class org.apache.mahout.vectorizer.term.TermCountReducer
setup(Reducer<Text, StringTuple, Text, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.term.TFPartialVectorReducer
setup(Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.tfidf.TFIDFPartialVectorReducer
setupBlock(Reducer<SplitPartitionedWritable, DenseBlockWritable, SplitPartitionedWritable, VectorWritable>.Context, SplitPartitionedWritable) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer
setupBlock(Reducer<SplitPartitionedWritable, SparseRowBlockWritable, SplitPartitionedWritable, VectorWritable>.Context, SplitPartitionedWritable) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer
setUserID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
setUserID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray: Sets user ID for preference at i.
setUserID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
setUserID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray: Sets user ID for preference at i.
setUserID(int, long) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray: Sets user ID for preference at i.
setVal(double) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
setValue(int, float) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
setValue(float) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanPreference
setValue(int, float) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
setValue(int, float) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
setValue(float) - Method in class org.apache.mahout.cf.taste.impl.model.GenericPreference
setValue(int, float) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
setValue(float) - Method in interface org.apache.mahout.cf.taste.model.Preference: Sets the strength of the preference for this item
setValue(int, float) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray: Sets preference value for preference at i.
setValue(ClusteringPolicy) - Method in class org.apache.mahout.clustering.iterator.ClusteringPolicyWritable
setValue(Cluster) - Method in class org.apache.mahout.clustering.iterator.ClusterWritable
setValue(double) - Method in class org.apache.mahout.clustering.spectral.IntDoublePairWritable
setValue(double) - Method in class org.apache.mahout.clustering.spectral.VertexWritable
setValue(double) - Method in class org.apache.mahout.ep.State
setVector(Vector) - Method in class org.apache.mahout.clustering.classify.WeightedVectorWritable
setVector(Vector) - Method in class org.apache.mahout.math.MultiLabelVectorWritable
setVerbose(boolean) - Method in class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0
setWeights(Vector) - Method in class org.apache.mahout.common.distance.WeightedDistanceMeasure
setWindowSize(int) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
setWindowSize(int) - Method in class org.apache.mahout.math.stats.GlobalOnlineAuc
setWindowSize(int) - Method in class org.apache.mahout.math.stats.GroupedOnlineAuc
setWindowSize(int) - Method in interface org.apache.mahout.math.stats.OnlineAuc
setWordEncoder(FeatureVectorEncoder) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder
SharingMapper<K1,V1,K2,V2,S> - Class in org.apache.mahout.cf.taste.hadoop.als: Mapper class to be used by MultithreadedSharingMapper.
SharingMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.als.SharingMapper
shouldRunNextPhase(Map<String, List<String>>, AtomicInteger) - Static method in class org.apache.mahout.common.AbstractJob
shuffle() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer.PreferenceShuffler
shufflePreferences() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
SimilarItem - Class in org.apache.mahout.cf.taste.similarity.precompute: Modeling similarity towards another item
SimilarItem(long, double) - Constructor for class org.apache.mahout.cf.taste.similarity.precompute.SimilarItem
SimilarItems - Class in org.apache.mahout.cf.taste.similarity.precompute: Compact representation of all similar items for an item
SimilarItems(long, List<RecommendedItem>) - Constructor for class org.apache.mahout.cf.taste.similarity.precompute.SimilarItems
SimilarItemsWriter - Interface in org.apache.mahout.cf.taste.similarity.precompute: Used to persist the results of a batch item similarity computation conducted with a BatchItemSimilarities implementation
similarity(double, double, double, int) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CityBlockSimilarity
similarity(double, double, double, int) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CooccurrenceCountSimilarity
similarity(double, double, double, int) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CosineSimilarity
similarity(double, double, double, int) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.EuclideanDistanceSimilarity
similarity(double, double, double, int) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.LoglikelihoodSimilarity
similarity(double, double, double, int) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.TanimotoCoefficientSimilarity
similarity(double, double, double, int) - Method in interface org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.VectorSimilarityMeasure
SimilarityMatrixRowWrapperMapper - Class in org.apache.mahout.cf.taste.hadoop.item: maps a row of the similarity matrix to a VectorOrPrefWritable actually a column from that matrix has to be used but as the similarity matrix is symmetric, we can use a row instead of having to transpose it
SimilarityMatrixRowWrapperMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.SimilarityMatrixRowWrapperMapper
SimilarityReducer() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.SimilarityReducer
SimilarUser - Class in org.apache.mahout.cf.taste.impl.recommender: Simply encapsulates a user and a similarity value.
SimilarUser(long, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.SimilarUser
SimpleTextEncodingVectorizer - Class in org.apache.mahout.vectorizer: Runs a Map/Reduce job that encodes FeatureVectorEncoder the input and writes it to the output as a sequence file.
SimpleTextEncodingVectorizer() - Constructor for class org.apache.mahout.vectorizer.SimpleTextEncodingVectorizer
SINGULAR_PREFIX - Static variable in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState
size() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
size() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
size() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
size() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer.PreferenceShuffler
size() - Method in class org.apache.mahout.classifier.df.data.Data: Deprecated.
size() - Method in class org.apache.mahout.math.neighborhood.BruteSearch
size() - Method in class org.apache.mahout.math.neighborhood.FastProjectionSearch: Returns the number of WeightedVectors being searched for nearest neighbors.
size() - Method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch
size() - Method in class org.apache.mahout.math.neighborhood.ProjectionSearch: Returns the number of scalarProjections that we can search
size() - Method in class org.apache.mahout.math.neighborhood.Searcher: Returns the number of WeightedVectors being searched for nearest neighbors.
size() - Method in class org.apache.mahout.vectorizer.encoders.Dictionary
skip(int) - Method in class org.apache.mahout.cf.taste.impl.common.jdbc.ResultSetIterator
skip(int) - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
skip(int) - Method in class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
skip(int) - Method in interface org.apache.mahout.cf.taste.impl.common.SkippingIterator: Skip the next n elements supplied by this Iterator.
skip(int) - Method in class org.apache.mahout.common.iterator.FileLineIterator
SkippingIterator<V> - Interface in org.apache.mahout.cf.taste.impl.common: Adds ability to skip ahead in an iterator, perhaps more efficiently than by calling Iterator.next() repeatedly.
SoftCluster - Class in org.apache.mahout.clustering.fuzzykmeans
SoftCluster() - Constructor for class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
SoftCluster(Vector, int, DistanceMeasure) - Constructor for class org.apache.mahout.clustering.fuzzykmeans.SoftCluster: Construct a new SoftCluster with the given point as its center
softLimit(double, double, double) - Static method in class org.apache.mahout.ep.Mapping: Maps input to the open interval (min, max) with 0 going to the mean of min and max.
softLimit(double, double) - Static method in class org.apache.mahout.ep.Mapping: Maps input to the open interval (min, max) with 0 going to the mean of min and max.
SoftLimit() - Constructor for class org.apache.mahout.ep.Mapping.SoftLimit
solve(Matrix) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
SolveExplicitFeedbackMapper - Class in org.apache.mahout.cf.taste.hadoop.als: Solving mapper that can be safely executed using multiple threads
SolveExplicitFeedbackMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.als.SolveExplicitFeedbackMapper
SolveImplicitFeedbackMapper - Class in org.apache.mahout.cf.taste.hadoop.als: Solving mapper that can be safely executed using multiple threads
SolveImplicitFeedbackMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.als.SolveImplicitFeedbackMapper
sortByItem() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
sortByItem() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
sortByItem() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
sortByItem() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
sortByItem() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray: Sorts underlying array by item ID, ascending.
sortByUser() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
sortByUser() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
sortByUser() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
sortByUser() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
sortByUser() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray: Sorts underlying array by user ID, ascending.
sortByValue() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
sortByValue() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
sortByValue() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
sortByValue() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
sortByValue() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray: Sorts underlying array by preference value, ascending.
sortByValueReversed() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
sortByValueReversed() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
sortByValueReversed() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
sortByValueReversed() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
sortByValueReversed() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray: Sorts underlying array by preference value, descending.
sortSplits(InputSplit[]) - Static method in class org.apache.mahout.classifier.df.mapreduce.Builder: Deprecated.

sort the splits into order based on size, so that the biggest go first.
This is the same code used by Hadoop's JobClient.
sparseItemRatingVector(PreferenceArray) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ALSWRFactorizer
SparseRowBlockAccumulator - Class in org.apache.mahout.math.hadoop.stochasticsvd: Aggregate incoming rows into blocks based on the row number (long).
SparseRowBlockAccumulator(int, OutputCollector<LongWritable, SparseRowBlockWritable>) - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockAccumulator
SparseRowBlockWritable - Class in org.apache.mahout.math.hadoop.stochasticsvd: block that supports accumulating rows and their sums , suitable for combiner and reducers of multiplication jobs.
SparseRowBlockWritable() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockWritable
SparseRowBlockWritable(int) - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockWritable
sparseUserRatingVector(PreferenceArray) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ALSWRFactorizer
SparseVectorsFromSequenceFiles - Class in org.apache.mahout.vectorizer: Converts a given set of sequence files into SparseVectors
SparseVectorsFromSequenceFiles() - Constructor for class org.apache.mahout.vectorizer.SparseVectorsFromSequenceFiles
sparsity(double) - Method in class org.apache.mahout.classifier.sgd.GradientMachine: Chainable configuration option.
sparsityLearningRate(double) - Method in class org.apache.mahout.classifier.sgd.GradientMachine: Chainable configuration option.
SpearmanCorrelationSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity: Like PearsonCorrelationSimilarity, but compares relative ranking of preference values instead of preference values themselves.
SpearmanCorrelationSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.SpearmanCorrelationSimilarity
SpectralKMeansDriver - Class in org.apache.mahout.clustering.spectral.kmeans: Performs spectral k-means clustering on the top k eigenvectors of the input affinity matrix.
SpectralKMeansDriver() - Constructor for class org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver
Split - Class in org.apache.mahout.classifier.df.split: Deprecated.
Split(int, double, double) - Constructor for class org.apache.mahout.classifier.df.split.Split: Deprecated.
Split(int, double) - Constructor for class org.apache.mahout.classifier.df.split.Split: Deprecated.
SplitGroupingComparator() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable.SplitGroupingComparator
SplitPartitionedWritable - Class in org.apache.mahout.math.hadoop.stochasticsvd: a key for vectors allowing to identify them by their coordinates in original split of A.
SplitPartitionedWritable(Mapper<?, ?, ?, ?>.Context) - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable
SplitPartitionedWritable() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable
SplitPartitionedWritable.SplitGroupingComparator - Class in org.apache.mahout.math.hadoop.stochasticsvd
splitPrefTokens(CharSequence) - Static method in class org.apache.mahout.cf.taste.hadoop.TasteHadoopUtils: Splits a preference data line into string tokens
splitTrainTest(List<? extends WeightedVector>) - Method in class org.apache.mahout.clustering.streaming.cluster.BallKMeans
sq - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.ABtMapper
SquaredEuclideanDistanceMeasure - Class in org.apache.mahout.common.distance: Like EuclideanDistanceMeasure but it does not take the square root.
SquaredEuclideanDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure
SSVDCli - Class in org.apache.mahout.math.hadoop.stochasticsvd: Mahout CLI adapter for SSVDSolver
SSVDCli() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.SSVDCli
SSVDHelper - Class in org.apache.mahout.math.hadoop.stochasticsvd: set of small file manipulation helpers.
SSVDSolver - Class in org.apache.mahout.math.hadoop.stochasticsvd: Stochastic SVD solver (API class).
SSVDSolver(Configuration, Path[], Path, int, int, int, int) - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver: create new SSVD solver.
StableFixedSizeSamplingIterator<T> - Class in org.apache.mahout.common.iterator: Sample a fixed number of elements from an Iterator.
StableFixedSizeSamplingIterator(int, Iterator<T>) - Constructor for class org.apache.mahout.common.iterator.StableFixedSizeSamplingIterator
stage() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer.PreferenceShuffler
StandardDeviationCalculatorMapper - Class in org.apache.mahout.math.hadoop.stats
StandardDeviationCalculatorMapper() - Constructor for class org.apache.mahout.math.hadoop.stats.StandardDeviationCalculatorMapper
StandardDeviationCalculatorReducer - Class in org.apache.mahout.math.hadoop.stats
StandardDeviationCalculatorReducer() - Constructor for class org.apache.mahout.math.hadoop.stats.StandardDeviationCalculatorReducer
StandardNaiveBayesClassifier - Class in org.apache.mahout.classifier.naivebayes: Implementation of the Naive Bayes Classifier Algorithm
StandardNaiveBayesClassifier(NaiveBayesModel) - Constructor for class org.apache.mahout.classifier.naivebayes.StandardNaiveBayesClassifier
start() - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer
startMemoryLogger(long) - Static method in class org.apache.mahout.common.MemoryUtil: Constructs and starts a memory logger thread.
startMemoryLogger() - Static method in class org.apache.mahout.common.MemoryUtil: Constructs and starts a memory logger thread with a logging rate of 1000 milliseconds.
startTime - Variable in class org.apache.mahout.common.TimingStatistics.Call
State<T extends Payload<U>,U> - Class in org.apache.mahout.ep: Records evolutionary state and provides a mutation operation for recorded-step meta-mutation.
State() - Constructor for class org.apache.mahout.ep.State
State(double[], double) - Constructor for class org.apache.mahout.ep.State: Invent a new state with no momentum (yet).
StaticWordValueEncoder - Class in org.apache.mahout.vectorizer.encoders: Encodes a categorical values with an unbounded vocabulary.
StaticWordValueEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.StaticWordValueEncoder
STD_CALC_DIR - Static variable in class org.apache.mahout.vectorizer.HighDFWordsPruner
stdDev(Path, Path, Configuration) - Static method in class org.apache.mahout.math.hadoop.stats.BasicStats: Calculate the standard deviation
stdDevForGivenMean(Path, Path, double, Configuration) - Static method in class org.apache.mahout.math.hadoop.stats.BasicStats: Calculate the standard deviation given a predefined mean
step - Variable in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
Step1Mapper - Class in org.apache.mahout.classifier.df.mapreduce.partial: Deprecated.
Step1Mapper() - Constructor for class org.apache.mahout.classifier.df.mapreduce.partial.Step1Mapper: Deprecated.
stepOffset(int) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
stepOffset(int) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
stepSize(int, double) - Static method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
stop() - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer
stop() - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
stopMemoryLogger() - Static method in class org.apache.mahout.common.MemoryUtil: Stops the memory logger, if any, started via MemoryUtil.startMemoryLogger(long) or MemoryUtil.startMemoryLogger().
storeMapping(long, String) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator
storeMapping(long, String) - Method in class org.apache.mahout.cf.taste.impl.model.MemoryIDMigrator
storeMapping(long, String) - Method in interface org.apache.mahout.cf.taste.model.UpdatableIDMigrator: Stores the reverse long-to-String mapping in some kind of backing store.
storeString(Configuration, Path, String) - Static method in class org.apache.mahout.classifier.df.DFUtils: Deprecated.

Write a string to a path.
storeWritable(Configuration, Path, Writable) - Static method in class org.apache.mahout.classifier.df.DFUtils: Deprecated.
StreamingKMeans - Class in org.apache.mahout.clustering.streaming.cluster: Implements a streaming k-means algorithm for weighted vectors.
StreamingKMeans(UpdatableSearcher, int) - Constructor for class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans: Calls StreamingKMeans(searcher, numClusters, 1.3, 10, 2).
StreamingKMeans(UpdatableSearcher, int, double) - Constructor for class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans: Calls StreamingKMeans(searcher, numClusters, distanceCutoff, 1.3, 10, 2).
StreamingKMeans(UpdatableSearcher, int, double, double, double, double) - Constructor for class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans: Creates a new StreamingKMeans class given a searcher and the number of clusters to generate.
StreamingKMeansDriver - Class in org.apache.mahout.clustering.streaming.mapreduce: Classifies the vectors into different clusters found by the clustering algorithm.
StreamingKMeansMapper - Class in org.apache.mahout.clustering.streaming.mapreduce
StreamingKMeansMapper() - Constructor for class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansMapper
StreamingKMeansReducer - Class in org.apache.mahout.clustering.streaming.mapreduce
StreamingKMeansReducer() - Constructor for class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansReducer
StreamingKMeansThread - Class in org.apache.mahout.clustering.streaming.mapreduce
StreamingKMeansThread(Path, Configuration) - Constructor for class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansThread
StreamingKMeansThread(Iterable<Centroid>, Configuration) - Constructor for class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansThread
StreamingKMeansUtilsMR - Class in org.apache.mahout.clustering.streaming.mapreduce
stringAt(int) - Method in class org.apache.mahout.common.StringTuple: Fetches the string at the given location
StringRecordIterator - Class in org.apache.mahout.common.iterator
StringRecordIterator(Iterable<String>, String) - Constructor for class org.apache.mahout.common.iterator.StringRecordIterator
StringTuple - Class in org.apache.mahout.common: An Ordered List of Strings which can be used in a Hadoop Map/Reduce Job
StringTuple() - Constructor for class org.apache.mahout.common.StringTuple
StringTuple(String) - Constructor for class org.apache.mahout.common.StringTuple
StringTuple(Iterable<String>) - Constructor for class org.apache.mahout.common.StringTuple
StringTuple(String[]) - Constructor for class org.apache.mahout.common.StringTuple
StringUtils - Class in org.apache.mahout.common: Offers two methods to convert an object to a string representation and restore the object given its string representation.
SUBGRAM_OUTPUT_DIRECTORY - Static variable in class org.apache.mahout.vectorizer.collocations.llr.CollocDriver
subset(Condition) - Method in class org.apache.mahout.classifier.df.data.Data: Deprecated.
sum(int[]) - Static method in class org.apache.mahout.classifier.df.data.DataUtils: Deprecated.

Computes the sum of the values
sum(Iterator<VectorWritable>) - Static method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.Vectors
SUM - Static variable in class org.apache.mahout.math.hadoop.stats.StandardDeviationCalculatorMapper
SUM_OF_SQUARES - Static variable in class org.apache.mahout.math.hadoop.stats.StandardDeviationCalculatorMapper
summarizeClusterDistances(Iterable<? extends Vector>, Iterable<? extends Vector>, DistanceMeasure) - Static method in class org.apache.mahout.clustering.ClusteringUtils: Computes the summaries for the distances in each cluster.
summary(int) - Method in class org.apache.mahout.classifier.sgd.ModelDissector: Returns the n most important features with their weights, most important category and the top few categories that they affect.
SUMMED_OBSERVATIONS - Static variable in class org.apache.mahout.classifier.naivebayes.training.TrainNaiveBayesJob
SumObservationsReducer() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.SumObservationsReducer
SVDPlusPlusFactorizer - Class in org.apache.mahout.cf.taste.impl.recommender.svd: SVD++, an enhancement of classical matrix factorization for rating prediction.
SVDPlusPlusFactorizer(DataModel, int, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.SVDPlusPlusFactorizer
SVDPlusPlusFactorizer(DataModel, int, double, double, double, int, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.SVDPlusPlusFactorizer
SVDRecommender - Class in org.apache.mahout.cf.taste.impl.recommender.svd: A Recommender that uses matrix factorization (a projection of users and items onto a feature space)
SVDRecommender(DataModel, Factorizer) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender
SVDRecommender(DataModel, Factorizer, CandidateItemsStrategy) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender
SVDRecommender(DataModel, Factorizer, PersistenceStrategy) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender: Create an SVDRecommender using a persistent store to cache factorizations.
SVDRecommender(DataModel, Factorizer, CandidateItemsStrategy, PersistenceStrategy) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender: Create an SVDRecommender using a persistent store to cache factorizations.
swap() - Method in class org.apache.mahout.common.LongPair
swap() - Method in class org.apache.mahout.common.Pair

T

T1_KEY - Static variable in class org.apache.mahout.clustering.canopy.CanopyConfigKeys: Deprecated.
T1_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
t1Option() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator: Returns a default command line option for specification of T1.
T2_KEY - Static variable in class org.apache.mahout.clustering.canopy.CanopyConfigKeys: Deprecated.
T2_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
t2Option() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator: Returns a default command line option for specification of T2.
T3_KEY - Static variable in class org.apache.mahout.clustering.canopy.CanopyConfigKeys: Deprecated.
T3_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
t3Option() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator: Returns a default command line option for specification of T3 (Reducer T1).
T4_KEY - Static variable in class org.apache.mahout.clustering.canopy.CanopyConfigKeys: Deprecated.
T4_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
t4Option() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator: Returns a default command line option for specification of T4 (Reducer T2).
takeAvailableUser() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel: Take the next available concurrent anonymous users from the pool.
TanimotoCoefficientSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity: An implementation of a "similarity" based on the Tanimoto coefficient, or extended Jaccard coefficient.
TanimotoCoefficientSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity
TanimotoCoefficientSimilarity - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence.measures
TanimotoCoefficientSimilarity() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.TanimotoCoefficientSimilarity
TanimotoDistanceMeasure - Class in org.apache.mahout.common.distance: Tanimoto coefficient implementation.
TanimotoDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.TanimotoDistanceMeasure
TasteException - Exception in org.apache.mahout.cf.taste.common: An exception thrown when an error occurs inside the Taste engine.
TasteException() - Constructor for exception org.apache.mahout.cf.taste.common.TasteException
TasteException(String) - Constructor for exception org.apache.mahout.cf.taste.common.TasteException
TasteException(Throwable) - Constructor for exception org.apache.mahout.cf.taste.common.TasteException
TasteException(String, Throwable) - Constructor for exception org.apache.mahout.cf.taste.common.TasteException
TasteHadoopUtils - Class in org.apache.mahout.cf.taste.hadoop: Some helper methods for the hadoop-related stuff in org.apache.mahout.cf.taste
TEMP_USER_ID - Static variable in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
tempPath - Variable in class org.apache.mahout.common.AbstractJob: temp path, populated by AbstractJob.parseArguments(String[])
TERM_TOPIC_SMOOTHING - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
TermCountCombiner - Class in org.apache.mahout.vectorizer.term
TermCountCombiner() - Constructor for class org.apache.mahout.vectorizer.term.TermCountCombiner
TermCountMapper - Class in org.apache.mahout.vectorizer.term: TextVectorizer Term Count Mapper.
TermCountMapper() - Constructor for class org.apache.mahout.vectorizer.term.TermCountMapper
TermCountReducer - Class in org.apache.mahout.vectorizer.term: This accumulates all the words and the weights and sums them up.
TermCountReducer() - Constructor for class org.apache.mahout.vectorizer.term.TermCountReducer
TermDocumentCountMapper - Class in org.apache.mahout.vectorizer.term: TextVectorizer Document Frequency Count Mapper.
TermDocumentCountMapper() - Constructor for class org.apache.mahout.vectorizer.term.TermDocumentCountMapper
TermDocumentCountReducer - Class in org.apache.mahout.vectorizer.term: Can also be used as a local Combiner.
TermDocumentCountReducer() - Constructor for class org.apache.mahout.vectorizer.term.TermDocumentCountReducer
TEST_PROBABILITY - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver: The percentage of points that go into the "test" set when evaluating BallKMeans runs in the reducer.
TEST_SET_FRACTION - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver
TestNaiveBayesDriver - Class in org.apache.mahout.classifier.naivebayes.test: Test the (Complementary) Naive Bayes model that was built during training by running the iterating the test set and comparing it to the model
TestNaiveBayesDriver() - Constructor for class org.apache.mahout.classifier.naivebayes.test.TestNaiveBayesDriver
TextValueEncoder - Class in org.apache.mahout.vectorizer.encoders: Encodes text that is tokenized on non-alphanum separators.
TextValueEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.TextValueEncoder
TF - Class in org.apache.mahout.vectorizer: Weight based on term frequency only
TF() - Constructor for class org.apache.mahout.vectorizer.TF
TFIDF - Class in org.apache.mahout.vectorizer
TFIDF() - Constructor for class org.apache.mahout.vectorizer.TFIDF
TFIDFConverter - Class in org.apache.mahout.vectorizer.tfidf: This class converts a set of input vectors with term frequencies to TfIdf vectors.
TFIDFPartialVectorReducer - Class in org.apache.mahout.vectorizer.tfidf: Converts a document into a sparse vector
TFIDFPartialVectorReducer() - Constructor for class org.apache.mahout.vectorizer.tfidf.TFIDFPartialVectorReducer
TFPartialVectorReducer - Class in org.apache.mahout.vectorizer.term: Converts a document in to a sparse vector
TFPartialVectorReducer() - Constructor for class org.apache.mahout.vectorizer.term.TFPartialVectorReducer
ThetaMapper - Class in org.apache.mahout.classifier.naivebayes.training
ThetaMapper() - Constructor for class org.apache.mahout.classifier.naivebayes.training.ThetaMapper
thetaNormalizer(int) - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
THETAS - Static variable in class org.apache.mahout.classifier.naivebayes.training.TrainNaiveBayesJob
THRESHOLD_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
thresholdOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator: Returns a default command line option for specifying the clustering threshold value.
ThresholdUserNeighborhood - Class in org.apache.mahout.cf.taste.impl.neighborhood: Computes a neigbhorhood consisting of all users whose similarity to the given user meets or exceeds a certain threshold.
ThresholdUserNeighborhood(double, UserSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.neighborhood.ThresholdUserNeighborhood
ThresholdUserNeighborhood(double, UserSimilarity, DataModel, double) - Constructor for class org.apache.mahout.cf.taste.impl.neighborhood.ThresholdUserNeighborhood
times(DistributedRowMatrix) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix: This implements matrix this.transpose().times(other)
times(DistributedRowMatrix, Path) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix: This implements matrix this.transpose().times(other)
times(Vector) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
TimesMapper() - Constructor for class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesMapper
timesSquared(Vector) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
TimesSquaredJob - Class in org.apache.mahout.math.hadoop
TimesSquaredJob.TimesMapper - Class in org.apache.mahout.math.hadoop
TimesSquaredJob.TimesSquaredMapper<T extends org.apache.hadoop.io.WritableComparable> - Class in org.apache.mahout.math.hadoop
TimesSquaredJob.VectorSummingReducer - Class in org.apache.mahout.math.hadoop
TimesSquaredMapper() - Constructor for class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesSquaredMapper
TimingStatistics - Class in org.apache.mahout.common
TimingStatistics() - Constructor for class org.apache.mahout.common.TimingStatistics: Creates a new instance of CallStats
TimingStatistics(int, long, long, long, double) - Constructor for class org.apache.mahout.common.TimingStatistics
TimingStatistics.Call - Class in org.apache.mahout.common: A call object that can update performance metrics.
TimingStatistics.LeadTimeCall - Class in org.apache.mahout.common: Ignores counting the performance metrics.
toArray() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
toArray(VectorWritable) - Static method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.Vectors
toDataMap(DataModel) - Static method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel: Exports the simple user IDs and associated item IDs in the data model.
toDataMap(FastByIDMap<PreferenceArray>) - Static method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
toDataMap(FastByIDMap<Collection<Preference>>, boolean) - Static method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel: Swaps, in-place, Lists for arrays in Map values .
toDataMap(DataModel) - Static method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel: Exports the simple user IDs and preferences in the data model.
ToEntityPrefsMapper - Class in org.apache.mahout.cf.taste.hadoop
ToItemPrefsMapper - Class in org.apache.mahout.cf.taste.hadoop: Input
ToItemPrefsMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.ToItemPrefsMapper
ToItemVectorsMapper - Class in org.apache.mahout.cf.taste.hadoop.preparation
ToItemVectorsMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.preparation.ToItemVectorsMapper
ToItemVectorsReducer - Class in org.apache.mahout.cf.taste.hadoop.preparation
ToItemVectorsReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.preparation.ToItemVectorsReducer
toJSON() - Method in class org.apache.mahout.classifier.df.data.Dataset: Deprecated.

Serialize this instance to JSON
tokenize(CharSequence) - Method in class org.apache.mahout.vectorizer.encoders.LuceneTextValueEncoder: Tokenizes a string using the simplest method.
tokenize(CharSequence) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder: Tokenizes a string using the simplest method.
TOKENIZED_DOCUMENT_OUTPUT_FOLDER - Static variable in class org.apache.mahout.vectorizer.DocumentProcessor
tokenizeDocuments(Path, Class<? extends Analyzer>, Path, Configuration) - Static method in class org.apache.mahout.vectorizer.DocumentProcessor: Convert the input documents into token array using the StringTuple The input documents has to be in the SequenceFile format
TokenStreamIterator - Class in org.apache.mahout.common.lucene: Provide an Iterator for the tokens in a TokenStream.
TokenStreamIterator(TokenStream) - Constructor for class org.apache.mahout.common.lucene.TokenStreamIterator
toLongID(String) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractIDMigrator
toLongID(String) - Method in interface org.apache.mahout.cf.taste.model.IDMigrator
TOP_LEVEL_CLUSTER_DIRECTORY - Static variable in class org.apache.mahout.clustering.topdown.PathDirectory
TopElementsQueue - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence
TopElementsQueue(int) - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.TopElementsQueue
TopicModel - Class in org.apache.mahout.clustering.lda.cvb: Thin wrapper around a Matrix of counts of occurrences of (topic, term) pairs.
TopicModel(int, int, double, double, String[], double) - Constructor for class org.apache.mahout.clustering.lda.cvb.TopicModel
TopicModel(Configuration, double, double, String[], int, double, Path...) - Constructor for class org.apache.mahout.clustering.lda.cvb.TopicModel
TopicModel(int, int, double, double, String[], int, double) - Constructor for class org.apache.mahout.clustering.lda.cvb.TopicModel
TopicModel(int, int, double, double, Random, String[], int, double) - Constructor for class org.apache.mahout.clustering.lda.cvb.TopicModel
TopicModel(Matrix, Vector, double, double, String[], double) - Constructor for class org.apache.mahout.clustering.lda.cvb.TopicModel
TopicModel(Matrix, double, double, String[], int, double) - Constructor for class org.apache.mahout.clustering.lda.cvb.TopicModel
TopicModel(Matrix, Vector, double, double, String[], int, double) - Constructor for class org.apache.mahout.clustering.lda.cvb.TopicModel
topicSums() - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
TopItems - Class in org.apache.mahout.cf.taste.impl.recommender: A simple class that refactors the "find top N things" logic that is used in several places.
TopItems.Estimator<T> - Interface in org.apache.mahout.cf.taste.impl.recommender
TopItemsQueue - Class in org.apache.mahout.cf.taste.hadoop
TopItemsQueue(int) - Constructor for class org.apache.mahout.cf.taste.hadoop.TopItemsQueue
topKElements(int, Vector) - Static method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.Vectors
TopSimilarItemsQueue - Class in org.apache.mahout.cf.taste.hadoop.similarity.item
TopSimilarItemsQueue(int) - Constructor for class org.apache.mahout.cf.taste.hadoop.similarity.item.TopSimilarItemsQueue
toRho(double, double) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
toString() - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
toString() - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
toString() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable
toString() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
toString() - Method in class org.apache.mahout.cf.taste.hadoop.MutableRecommendedItem
toString() - Method in class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
toString() - Method in class org.apache.mahout.cf.taste.impl.common.Cache
toString() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
toString() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
toString() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
toString() - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage
toString() - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverageAndStdDev
toString() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
toString() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
toString() - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
toString() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
toString() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverageAndStdDev
toString() - Method in class org.apache.mahout.cf.taste.impl.eval.AverageAbsoluteDifferenceRecommenderEvaluator
toString() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
toString() - Method in class org.apache.mahout.cf.taste.impl.eval.RMSRecommenderEvaluator
toString() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
toString() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanPreference
toString() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
toString() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
toString() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileIDMigrator
toString() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
toString() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
toString() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
toString() - Method in class org.apache.mahout.cf.taste.impl.model.GenericPreference
toString() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
toString() - Method in class org.apache.mahout.cf.taste.impl.neighborhood.NearestNUserNeighborhood
toString() - Method in class org.apache.mahout.cf.taste.impl.neighborhood.ThresholdUserNeighborhood
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefItemBasedRecommender
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefUserBasedRecommender
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.SimilarUser
toString() - Method in class org.apache.mahout.cf.taste.impl.similarity.AveragingPreferenceInferrer
toString() - Method in class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity
toString() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
toString() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
toString() - Method in class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity
toString() - Method in class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity
toString() - Method in class org.apache.mahout.classifier.ClassifierResult
toString() - Method in class org.apache.mahout.classifier.ConfusionMatrix: This is overloaded.
toString() - Method in class org.apache.mahout.classifier.df.data.Dataset: Deprecated.
toString() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit: Deprecated.
toString() - Method in class org.apache.mahout.classifier.df.mapreduce.MapredOutput: Deprecated.
toString() - Method in class org.apache.mahout.classifier.df.node.Node: Deprecated.
toString() - Method in class org.apache.mahout.classifier.df.split.Split: Deprecated.
toString(DecisionForest, Dataset, String[]) - Static method in class org.apache.mahout.classifier.df.tools.ForestVisualizer: Deprecated.
toString(String, String, String[]) - Static method in class org.apache.mahout.classifier.df.tools.ForestVisualizer: Deprecated.

Decision Forest to String
toString(Node, Dataset, String[]) - Static method in class org.apache.mahout.classifier.df.tools.TreeVisualizer: Deprecated.

Decision tree to String
toString() - Method in class org.apache.mahout.classifier.RegressionResultAnalyzer
toString() - Method in class org.apache.mahout.classifier.ResultAnalyzer
toString() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
toString() - Method in class org.apache.mahout.clustering.canopy.Canopy: Deprecated.
toString() - Method in class org.apache.mahout.clustering.classify.WeightedPropertyVectorWritable
toString() - Method in class org.apache.mahout.clustering.classify.WeightedVectorWritable
toString() - Method in class org.apache.mahout.clustering.kmeans.Kluster
toString() - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
toString() - Method in class org.apache.mahout.clustering.streaming.mapreduce.CentroidWritable
toString() - Method in class org.apache.mahout.common.IntegerTuple
toString() - Method in class org.apache.mahout.common.IntPairWritable.Frequency
toString() - Method in class org.apache.mahout.common.IntPairWritable
toString() - Method in class org.apache.mahout.common.LongPair
toString() - Method in class org.apache.mahout.common.Pair
toString() - Method in class org.apache.mahout.common.parameters.AbstractParameter
toString() - Method in class org.apache.mahout.common.Parameters
toString() - Method in class org.apache.mahout.common.StringTuple
toString(Object) - Static method in class org.apache.mahout.common.StringUtils: Converts the object to a one-line string representation
toString() - Method in class org.apache.mahout.common.TimingStatistics
toString() - Method in class org.apache.mahout.ep.State
toString() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
toString() - Method in class org.apache.mahout.math.neighborhood.HashedVector
toString() - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
toString() - Method in enum org.apache.mahout.vectorizer.collocations.llr.Gram.Type
toString() - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey
toStringID(long) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator
toStringID(long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileIDMigrator
toStringID(long) - Method in class org.apache.mahout.cf.taste.impl.model.MemoryIDMigrator
toStringID(long) - Method in interface org.apache.mahout.cf.taste.model.IDMigrator
TOTAL_COUNT - Static variable in class org.apache.mahout.math.hadoop.stats.StandardDeviationCalculatorMapper
totalClusterCost(Iterable<? extends Vector>, Iterable<? extends Vector>) - Static method in class org.apache.mahout.clustering.ClusteringUtils: Adds up the distances from each point to its closest cluster and returns the sum.
totalClusterCost(Iterable<? extends Vector>, Searcher) - Static method in class org.apache.mahout.clustering.ClusteringUtils: Adds up the distances from each point to its closest cluster and returns the sum.
totalWeight(Iterable<? extends Vector>) - Static method in class org.apache.mahout.clustering.ClusteringUtils: Computes the total weight of the points in the given Vector iterable.
totalWeightSum() - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
totalWeightSum() - Method in class org.apache.mahout.classifier.naivebayes.training.ComplementaryThetaTrainer
ToUserVectorsReducer - Class in org.apache.mahout.cf.taste.hadoop.item: Input
ToUserVectorsReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.ToUserVectorsReducer
ToUserVectorsReducer.Counters - Enum in org.apache.mahout.cf.taste.hadoop.item
ToVectorAndPrefReducer - Class in org.apache.mahout.cf.taste.hadoop.item
ToVectorAndPrefReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.ToVectorAndPrefReducer
TPrior - Class in org.apache.mahout.classifier.sgd: Provides a t-distribution as a prior.
TPrior(double) - Constructor for class org.apache.mahout.classifier.sgd.TPrior
trace(String, int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
trace(byte[], int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
train(int, Vector) - Method in class org.apache.mahout.classifier.naivebayes.training.ComplementaryThetaTrainer
train(int, Vector) - Method in interface org.apache.mahout.classifier.OnlineLearner: Updates the model using a particular target variable value and a feature vector.
train(long, String, int, Vector) - Method in interface org.apache.mahout.classifier.OnlineLearner: Updates the model using a particular target variable value and a feature vector.
train(long, int, Vector) - Method in interface org.apache.mahout.classifier.OnlineLearner: Updates the model using a particular target variable value and a feature vector.
train(long, String, int, Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
train(long, int, Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
train(int, Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
train(int, Vector) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
train(long, int, Vector) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
train(long, String, int, Vector) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
train(AdaptiveLogisticRegression.TrainingExample) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
train(int, Vector) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
train(long, int, Vector) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
train(long, String, int, Vector) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
train(long, String, int, Vector) - Method in class org.apache.mahout.classifier.sgd.GradientMachine
train(long, int, Vector) - Method in class org.apache.mahout.classifier.sgd.GradientMachine
train(int, Vector) - Method in class org.apache.mahout.classifier.sgd.GradientMachine
train(long, String, int, Vector) - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive
train(long, int, Vector) - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive
train(int, Vector) - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive
train(int, Vector) - Method in class org.apache.mahout.clustering.classify.ClusterClassifier
train(int, Vector, double) - Method in class org.apache.mahout.clustering.classify.ClusterClassifier: Train the models given an additional weight.
train(long, String, int, Vector) - Method in class org.apache.mahout.clustering.classify.ClusterClassifier
train(long, int, Vector) - Method in class org.apache.mahout.clustering.classify.ClusterClassifier
train(VectorIterable, VectorIterable) - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer
train(VectorIterable, VectorIterable, int) - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer
train(Vector, Vector, boolean, int) - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer
trainBaumWelch(HmmModel, int[], double, int, boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmTrainer: Iteratively train the parameters of the given initial model wrt the observed sequence using Baum-Welch training.
trainDocTopicModel(Vector, Vector, Matrix) - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
trainDocuments() - Method in class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0
trainDocuments(double) - Method in class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0
TrainingExample(long, String, int, Vector) - Constructor for class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.TrainingExample
TrainNaiveBayesJob - Class in org.apache.mahout.classifier.naivebayes.training: Trains a Naive Bayes Classifier (parameters for both Naive Bayes and Complementary Naive Bayes)
TrainNaiveBayesJob() - Constructor for class org.apache.mahout.classifier.naivebayes.training.TrainNaiveBayesJob
trainSupervised(int, int, int[], int[], double) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmTrainer: Create an supervised initial estimate of an HMM Model based on a sequence of observed and hidden states.
trainSupervisedSequence(int, int, Collection<int[]>, Collection<int[]>, double) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmTrainer: Create an supervised initial estimate of an HMM Model based on a number of sequences of observed and hidden states.
trainSync(Vector, Vector, boolean, int) - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer
trainViterbi(HmmModel, int[], double, double, int, boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmTrainer: Iteratively train the parameters of the given initial model wrt to the observed sequence using Viterbi training.
transpose() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
TRANSPOSE_USER_ITEM - Static variable in class org.apache.mahout.cf.taste.hadoop.ToEntityPrefsMapper
TransposeJob - Class in org.apache.mahout.math.hadoop: Transpose a matrix
TransposeJob() - Constructor for class org.apache.mahout.math.hadoop.TransposeJob
TransposeMapper - Class in org.apache.mahout.common.mapreduce
TransposeMapper() - Constructor for class org.apache.mahout.common.mapreduce.TransposeMapper
TreeBuilder - Interface in org.apache.mahout.classifier.df.builder: Deprecated.
TreeID - Class in org.apache.mahout.classifier.df.mapreduce.partial: Deprecated.
TreeID() - Constructor for class org.apache.mahout.classifier.df.mapreduce.partial.TreeID: Deprecated.
TreeID(int, int) - Constructor for class org.apache.mahout.classifier.df.mapreduce.partial.TreeID: Deprecated.
treeId() - Method in class org.apache.mahout.classifier.df.mapreduce.partial.TreeID: Deprecated.
TreeVisualizer - Class in org.apache.mahout.classifier.df.tools: Deprecated.
TriangularKernelProfile - Class in org.apache.mahout.clustering.kernel
TriangularKernelProfile() - Constructor for class org.apache.mahout.clustering.kernel.TriangularKernelProfile
trim() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver
TRIM_FRACTION - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver: The "ball" aspect of ball k-means means that only the closest points to the centroid will actually be used for updating.
truncateModel(HmmModel, double) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils: Method to reduce the size of an HMMmodel by converting the models DenseMatrix/DenseVectors to sparse implementations and setting every value < threshold to 0
type() - Method in class org.apache.mahout.common.parameters.AbstractParameter
type() - Method in interface org.apache.mahout.common.parameters.Parameter

U

UDistrib - Class in org.apache.mahout.classifier.df.tools: Deprecated.
UJob - Class in org.apache.mahout.math.hadoop.stochasticsvd: Computes U=Q*Uhat of SSVD (optionally adding x pow(Sigma, 0.5) )
UJob() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.UJob
UJob.UMapper - Class in org.apache.mahout.math.hadoop.stochasticsvd
UMapper() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.UJob.UMapper
UncenteredCosineSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity: An implementation of the cosine similarity.
UncenteredCosineSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.UncenteredCosineSimilarity
UncenteredCosineSimilarity(DataModel, Weighting) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.UncenteredCosineSimilarity
UncommonDistributions - Class in org.apache.mahout.clustering
UniformPrior - Class in org.apache.mahout.classifier.sgd: A uniform prior.
UniformPrior() - Constructor for class org.apache.mahout.classifier.sgd.UniformPrior
UnitVectorizerJob - Class in org.apache.mahout.clustering.spectral: Given a DistributedRowMatrix, this job normalizes each row to unit vector length.
UnitVectorizerJob.UnitVectorizerMapper - Class in org.apache.mahout.clustering.spectral
UnitVectorizerMapper() - Constructor for class org.apache.mahout.clustering.spectral.UnitVectorizerJob.UnitVectorizerMapper
unseal() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
UnsymmetrifyMapper() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.UnsymmetrifyMapper
UpdatableIDMigrator - Interface in org.apache.mahout.cf.taste.model
UpdatableSearcher - Class in org.apache.mahout.math.neighborhood: Describes how we search vectors.
UpdatableSearcher(DistanceMeasure) - Constructor for class org.apache.mahout.math.neighborhood.UpdatableSearcher
update(Preference, double) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer: TODO: this is the vanilla sgd by Tacaks 2009, I speculate that using scaling technique proposed in: Towards Optimal One Pass Large Scale Learning with Averaged Stochastic Gradient Descent section 5, page 6 can be beneficial in term s of both speed and accuracy.
update(double[]) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
update(Vector, Map<String, Set<Integer>>, AbstractVectorClassifier) - Method in class org.apache.mahout.classifier.sgd.ModelDissector: Probes a model to determine the effect of a particular variable.
update(ClusterClassifier) - Method in class org.apache.mahout.clustering.iterator.AbstractClusteringPolicy
update(ClusterClassifier) - Method in interface org.apache.mahout.clustering.iterator.ClusteringPolicy: Update the policy with the given classifier
update(Matrix) - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
update(int, Vector) - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
update(double[]) - Method in interface org.apache.mahout.ep.Payload
updateCentroids(Iterable<Canopy>) - Static method in class org.apache.mahout.clustering.canopy.CanopyClusterer: Deprecated.

Iterate through the canopies, resetting their center to their centroids
updateCounts - Variable in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
updateHdfsState() - Method in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState
updateParameters(long, long, float, double) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer
updateParameters(long, long, float, double) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.SVDPlusPlusFactorizer
updatePerLabelThetaNormalizer(int, double) - Method in class org.apache.mahout.classifier.naivebayes.training.ComplementaryThetaTrainer
updateRanking(Vector, Collection<Integer>, int, Random) - Method in class org.apache.mahout.classifier.sgd.GradientMachine: Updates using ranking loss.
updateSteps - Variable in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
updateTopic(int, Vector) - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel
USE_NAMED_VECTORS - Static variable in class org.apache.mahout.vectorizer.EncodingMapper
USE_SEQUENTIAL - Static variable in class org.apache.mahout.vectorizer.EncodingMapper
USER_BIAS_INDEX - Static variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer: place in user vector where the bias is stored
USER_ID_POS - Static variable in class org.apache.mahout.cf.taste.hadoop.TasteHadoopUtils
USER_VECTORS - Static variable in class org.apache.mahout.cf.taste.hadoop.preparation.PreparePreferenceMatrixJob
UserBasedRecommender - Interface in org.apache.mahout.cf.taste.recommender: Interface implemented by "user-based" recommenders.
userFeaturesMapping(LongPrimitiveIterator, int, double[][]) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ALSWRFactorizer
userIndex(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.AbstractFactorizer
userIndex(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
UserNeighborhood - Interface in org.apache.mahout.cf.taste.neighborhood: Implementations of this interface compute a "neighborhood" of users like a given user.
userSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingUserSimilarity
userSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.CityBlockSimilarity
userSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
userSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity
userSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.SpearmanCorrelationSimilarity
userSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity
UserSimilarity - Interface in org.apache.mahout.cf.taste.similarity: Implementations of this interface define a notion of similarity between two users.
userSimilarity(long, long) - Method in interface org.apache.mahout.cf.taste.similarity.UserSimilarity: Returns the degree of similarity, of two users, based on the their preferences.
UserUserSimilarity(long, long, double) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
userVectors - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer: user features
userVectors - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer: User features
UserVectorSplitterMapper - Class in org.apache.mahout.cf.taste.hadoop.item
UserVectorSplitterMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.UserVectorSplitterMapper
useSetRandomSeedOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
usesFirstLineAsSchema() - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
usesFirstLineAsSchema() - Method in interface org.apache.mahout.classifier.sgd.RecordFactory
useT3T4() - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer: Deprecated.

Used by CanopyReducer to set t1=t3 and t2=t4 configuration values

V

validate() - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
validate(HmmModel) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils: Validates an HMM model set
validModel() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
validModel() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
value() - Method in class org.apache.mahout.math.stats.GlobalOnlineAuc
valueOf(String) - Static method in enum org.apache.mahout.cf.taste.common.Weighting: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.cf.taste.hadoop.item.ToUserVectorsReducer.Counters: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.classifier.df.data.Dataset.Attribute: Deprecated.

Returns the enum constant of this type with the specified name.
valueOf(int, String) - Method in class org.apache.mahout.classifier.df.data.Dataset: Deprecated.

Converts a token to its corresponding integer code for a given attribute
valueOf(String) - Static method in enum org.apache.mahout.classifier.df.node.Node.Type: Deprecated.

Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.clustering.lda.cvb.CachingCVB0PerplexityMapper.Counters: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.common.iterator.sequencefile.PathType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.VectorSimilarityMeasures: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.vectorizer.collocations.llr.CollocMapper.Count: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.vectorizer.collocations.llr.CollocReducer.Skipped: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.vectorizer.collocations.llr.Gram.Type: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.vectorizer.collocations.llr.LLRReducer.Skipped: Returns the enum constant of this type with the specified name.
values() - Static method in enum org.apache.mahout.cf.taste.common.Weighting: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.cf.taste.hadoop.item.ToUserVectorsReducer.Counters: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
values() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
values(int) - Method in class org.apache.mahout.classifier.df.data.Data: Deprecated.

finds all distinct values of a given attribute
values() - Static method in enum org.apache.mahout.classifier.df.data.Dataset.Attribute: Deprecated.

Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.classifier.df.node.Node.Type: Deprecated.

Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.clustering.lda.cvb.CachingCVB0PerplexityMapper.Counters: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.common.iterator.sequencefile.PathType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.VectorSimilarityMeasures: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.vectorizer.collocations.llr.CollocMapper.Count: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.vectorizer.collocations.llr.CollocReducer.Skipped: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.vectorizer.collocations.llr.Gram.Type: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.vectorizer.collocations.llr.LLRReducer.Skipped: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Method in class org.apache.mahout.vectorizer.encoders.Dictionary
variance(Path, Path, Configuration) - Static method in class org.apache.mahout.math.hadoop.stats.BasicStats: Calculate the variance of values stored as
varianceForGivenMean(Path, Path, double, Configuration) - Static method in class org.apache.mahout.math.hadoop.stats.BasicStats: Calculate the variance by a predefined mean of values stored as
VarianceTotals - Class in org.apache.mahout.math.hadoop.stats: Holds the total values needed to compute mean and standard deviation Provides methods for their computation
VarianceTotals() - Constructor for class org.apache.mahout.math.hadoop.stats.VarianceTotals
VECTOR_CLASS - Static variable in class org.apache.mahout.math.hadoop.MatrixColumnMeansJob
VECTOR_COUNT - Static variable in class org.apache.mahout.vectorizer.tfidf.TFIDFConverter
VectorAndPrefsWritable - Class in org.apache.mahout.cf.taste.hadoop.item
VectorAndPrefsWritable() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable
VectorAndPrefsWritable(Vector, List<Long>, List<Float>) - Constructor for class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable
VectorCache - Class in org.apache.mahout.clustering.spectral: This class handles reading and writing vectors to the Hadoop distributed cache.
VectorDistanceInvertedMapper - Class in org.apache.mahout.math.hadoop.similarity: Similar to VectorDistanceMapper, except it outputs <input, Vector>, where the vector is a dense vector contain one entry for every seed vector
VectorDistanceInvertedMapper() - Constructor for class org.apache.mahout.math.hadoop.similarity.VectorDistanceInvertedMapper
VectorDistanceMapper - Class in org.apache.mahout.math.hadoop.similarity
VectorDistanceMapper() - Constructor for class org.apache.mahout.math.hadoop.similarity.VectorDistanceMapper
VectorDistanceSimilarityJob - Class in org.apache.mahout.math.hadoop.similarity: This class does a Map-side join between seed vectors (the map side can also be a Cluster) and a list of other vectors and emits the a tuple of seed id, other id, distance.
VectorDistanceSimilarityJob() - Constructor for class org.apache.mahout.math.hadoop.similarity.VectorDistanceSimilarityJob
Vectorizer - Interface in org.apache.mahout.vectorizer
VectorizerConfig - Class in org.apache.mahout.vectorizer: The config for a Vectorizer.
VectorizerConfig(Configuration, String, String, String, boolean, boolean, int) - Constructor for class org.apache.mahout.vectorizer.VectorizerConfig
VectorMatrixMultiplicationJob - Class in org.apache.mahout.clustering.spectral: This class handles the three-way multiplication of the digonal matrix and the Markov transition matrix inherent in the Eigencuts algorithm.
VectorMatrixMultiplicationJob.VectorMatrixMultiplicationMapper - Class in org.apache.mahout.clustering.spectral
VectorMatrixMultiplicationMapper() - Constructor for class org.apache.mahout.clustering.spectral.VectorMatrixMultiplicationJob.VectorMatrixMultiplicationMapper
VectorNormMapper() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.VectorNormMapper
VectorOrPrefWritable - Class in org.apache.mahout.cf.taste.hadoop.item
VectorOrPrefWritable() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
VectorOrPrefWritable(Vector) - Constructor for class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
VectorOrPrefWritable(long, float) - Constructor for class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
Vectors - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence
VectorSimilarityMeasure - Interface in org.apache.mahout.math.hadoop.similarity.cooccurrence.measures
VectorSimilarityMeasures - Enum in org.apache.mahout.math.hadoop.similarity.cooccurrence.measures
VectorSumCombiner - Class in org.apache.mahout.common.mapreduce
VectorSumCombiner() - Constructor for class org.apache.mahout.common.mapreduce.VectorSumCombiner
VectorSummingReducer() - Constructor for class org.apache.mahout.math.hadoop.TimesSquaredJob.VectorSummingReducer
VectorSumReducer - Class in org.apache.mahout.common.mapreduce
VectorSumReducer() - Constructor for class org.apache.mahout.common.mapreduce.VectorSumReducer
vectorToSortedString(Vector, String[]) - Static method in class org.apache.mahout.clustering.lda.cvb.TopicModel
Version - Class in org.apache.mahout
version() - Static method in class org.apache.mahout.Version
versionFromResource() - Static method in class org.apache.mahout.Version
VertexWritable - Class in org.apache.mahout.clustering.spectral: Represents a vertex within the affinity graph for Eigencuts.
VertexWritable() - Constructor for class org.apache.mahout.clustering.spectral.VertexWritable
VertexWritable(int, int, double, String) - Constructor for class org.apache.mahout.clustering.spectral.VertexWritable
viterbiAlgorithm(HmmModel, int[], boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmAlgorithms: Viterbi algorithm to compute the most likely hidden sequence for a given model and observed sequence
ViterbiEvaluator - Class in org.apache.mahout.classifier.sequencelearning.hmm: Command-line tool for Viterbi evaluating
VJob - Class in org.apache.mahout.math.hadoop.stochasticsvd
VJob() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.VJob
VJob.VMapper - Class in org.apache.mahout.math.hadoop.stochasticsvd
VMapper() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.VJob.VMapper

W

waitForCompletion() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.UJob
waitForCompletion() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.VJob
weight(int, int) - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
Weight(String, Vector) - Constructor for class org.apache.mahout.classifier.sgd.ModelDissector.Weight
Weight(String, Vector, int) - Constructor for class org.apache.mahout.classifier.sgd.ModelDissector.Weight
weight(byte[]) - Method in class org.apache.mahout.vectorizer.encoders.AdaptiveWordValueEncoder
weight(byte[]) - Method in class org.apache.mahout.vectorizer.encoders.StaticWordValueEncoder
weight(byte[]) - Method in class org.apache.mahout.vectorizer.encoders.WordValueEncoder
Weight - Interface in org.apache.mahout.vectorizer
WeightedDistanceMeasure - Class in org.apache.mahout.common.distance: Abstract implementation of DistanceMeasure with support for weights.
WeightedDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.WeightedDistanceMeasure
WeightedEuclideanDistanceMeasure - Class in org.apache.mahout.common.distance: This class implements a Euclidean distance metric by summing the square root of the squared differences between each coordinate, optionally adding weights.
WeightedEuclideanDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.WeightedEuclideanDistanceMeasure
WeightedManhattanDistanceMeasure - Class in org.apache.mahout.common.distance: This class implements a "Manhattan distance" metric by summing the absolute values of the difference between each coordinate, optionally with weights.
WeightedManhattanDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.WeightedManhattanDistanceMeasure
WeightedPropertyVectorWritable - Class in org.apache.mahout.clustering.classify
WeightedPropertyVectorWritable() - Constructor for class org.apache.mahout.clustering.classify.WeightedPropertyVectorWritable
WeightedPropertyVectorWritable(Map<Text, Text>) - Constructor for class org.apache.mahout.clustering.classify.WeightedPropertyVectorWritable
WeightedPropertyVectorWritable(double, Vector, Map<Text, Text>) - Constructor for class org.apache.mahout.clustering.classify.WeightedPropertyVectorWritable
WeightedRunningAverage - Class in org.apache.mahout.cf.taste.impl.common
WeightedRunningAverage() - Constructor for class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
WeightedRunningAverageAndStdDev - Class in org.apache.mahout.cf.taste.impl.common: This subclass also provides for a weighted estimate of the sample standard deviation.
WeightedRunningAverageAndStdDev() - Constructor for class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverageAndStdDev
WeightedVectorWritable - Class in org.apache.mahout.clustering.classify
WeightedVectorWritable() - Constructor for class org.apache.mahout.clustering.classify.WeightedVectorWritable
WeightedVectorWritable(double, Vector) - Constructor for class org.apache.mahout.clustering.classify.WeightedVectorWritable
Weighting - Enum in org.apache.mahout.cf.taste.common: A simple enum which gives symbolic names to the ideas of "weighted" and "unweighted", to make various API calls which take a weighting parameter more readable.
WEIGHTS - Static variable in class org.apache.mahout.classifier.naivebayes.training.TrainNaiveBayesJob
WEIGHTS_PER_FEATURE - Static variable in class org.apache.mahout.classifier.naivebayes.training.TrainNaiveBayesJob
WEIGHTS_PER_LABEL - Static variable in class org.apache.mahout.classifier.naivebayes.training.TrainNaiveBayesJob
WeightsMapper - Class in org.apache.mahout.classifier.naivebayes.training
WeightsMapper() - Constructor for class org.apache.mahout.classifier.naivebayes.training.WeightsMapper
WORD_LIKE_VALUE_HASH_SEED - Static variable in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
WORDCOUNT_OUTPUT_FOLDER - Static variable in class org.apache.mahout.vectorizer.tfidf.TFIDFConverter
WordsPrunerReducer - Class in org.apache.mahout.vectorizer.pruner
WordsPrunerReducer() - Constructor for class org.apache.mahout.vectorizer.pruner.WordsPrunerReducer
WordValueEncoder - Class in org.apache.mahout.vectorizer.encoders: Encodes words as sparse vector updates to a Vector.
WordValueEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.WordValueEncoder
Wrapper() - Constructor for class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
Wrapper(int, int, PriorFunction) - Constructor for class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
WRITABLE_VERSION - Static variable in class org.apache.mahout.classifier.sgd.GradientMachine
WRITABLE_VERSION - Static variable in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
WRITABLE_VERSION - Static variable in class org.apache.mahout.classifier.sgd.PassiveAggressive
write(DataOutput) - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
write(DataOutput) - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
write(DataOutput) - Method in class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable
write(DataOutput) - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable
write(DataOutput) - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
write(DataOutput) - Method in class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
write(DataOutput) - Method in class org.apache.mahout.classifier.df.DecisionForest: Deprecated.
write(DataOutput) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit: Deprecated.
write(DataOutput) - Method in class org.apache.mahout.classifier.df.mapreduce.MapredOutput: Deprecated.
write(DataOutput) - Method in class org.apache.mahout.classifier.df.node.Node: Deprecated.
write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.TrainingExample
write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.ElasticBandPrior
write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.GradientMachine
write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.L1
write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.L2
write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive
write(DataOutput, T) - Static method in class org.apache.mahout.classifier.sgd.PolymorphicWritable
write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.TPrior
write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.UniformPrior
write(DataOutput) - Method in class org.apache.mahout.clustering.AbstractCluster
write(DataOutput) - Method in class org.apache.mahout.clustering.classify.ClusterClassifier
write(DataOutput) - Method in class org.apache.mahout.clustering.classify.WeightedPropertyVectorWritable
write(DataOutput) - Method in class org.apache.mahout.clustering.classify.WeightedVectorWritable
write(DataOutput) - Method in class org.apache.mahout.clustering.iterator.AbstractClusteringPolicy
write(DataOutput) - Method in class org.apache.mahout.clustering.iterator.CanopyClusteringPolicy: Deprecated.
write(DataOutput) - Method in class org.apache.mahout.clustering.iterator.ClusteringPolicyWritable
write(DataOutput) - Method in class org.apache.mahout.clustering.iterator.ClusterWritable
write(DataOutput) - Method in class org.apache.mahout.clustering.iterator.DistanceMeasureCluster
write(DataOutput) - Method in class org.apache.mahout.clustering.iterator.FuzzyKMeansClusteringPolicy
write(DataOutput) - Method in class org.apache.mahout.clustering.iterator.KMeansClusteringPolicy
write(DataOutput) - Method in class org.apache.mahout.clustering.kmeans.Kluster
write(DataOutput) - Method in class org.apache.mahout.clustering.spectral.IntDoublePairWritable
write(DataOutput) - Method in class org.apache.mahout.clustering.spectral.VertexWritable
write(DataOutput) - Method in class org.apache.mahout.clustering.streaming.mapreduce.CentroidWritable
write(DataOutput) - Method in class org.apache.mahout.common.IntegerTuple
write(DataOutput) - Method in class org.apache.mahout.common.IntPairWritable
write(DataOutput) - Method in class org.apache.mahout.common.StringTuple
write(DataOutput) - Method in class org.apache.mahout.ep.EvolutionaryProcess
write(DataOutput) - Method in class org.apache.mahout.ep.Mapping.Exponential
write(DataOutput) - Method in class org.apache.mahout.ep.Mapping.Identity
write(DataOutput) - Method in class org.apache.mahout.ep.Mapping.LogLimit
write(DataOutput) - Method in class org.apache.mahout.ep.Mapping.SoftLimit
write(DataOutput) - Method in class org.apache.mahout.ep.State
write(Path, Configuration, Iterable<MatrixSlice>) - Static method in class org.apache.mahout.math.DistributedRowMatrixWriter
write(DataOutput) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
write(Vector, Path, Configuration) - Static method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.Vectors
write(Vector, Path, Configuration, boolean) - Static method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.Vectors
write(DataOutput) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.DenseBlockWritable
write(DataOutput) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockWritable
write(DataOutput) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable
write(Path, Configuration, VectorIterable) - Static method in class org.apache.mahout.math.MatrixUtils
write(DataOutput) - Method in class org.apache.mahout.math.MultiLabelVectorWritable
write(DataOutput, SequentialAccessSparseVector, int[]) - Static method in class org.apache.mahout.math.MultiLabelVectorWritable
write(DataOutput) - Method in class org.apache.mahout.math.stats.GlobalOnlineAuc
write(DataOutput) - Method in class org.apache.mahout.math.stats.GroupedOnlineAuc
write(DataOutput) - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
write(DataOutput) - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey
writeArray(DataOutput, Node[]) - Static method in class org.apache.mahout.classifier.df.DFUtils: Deprecated.

Writes an Node[] into a DataOutput
writeArray(DataOutput, double[]) - Static method in class org.apache.mahout.classifier.df.DFUtils: Deprecated.

Writes a double[] into a DataOutput
writeArray(DataOutput, int[]) - Static method in class org.apache.mahout.classifier.df.DFUtils: Deprecated.

Writes an int[] into a DataOutput
writeBinary(Factorization, DataOutput) - Static method in class org.apache.mahout.cf.taste.impl.recommender.svd.FilePersistenceStrategy
writeBinary(String, CrossFoldLearner) - Static method in class org.apache.mahout.classifier.sgd.ModelSerializer
writeBinary(String, OnlineLogisticRegression) - Static method in class org.apache.mahout.classifier.sgd.ModelSerializer
writeBinary(String, AdaptiveLogisticRegression) - Static method in class org.apache.mahout.classifier.sgd.ModelSerializer
writeCentroidsToSequenceFile(Iterable<Centroid>, Path, Configuration) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansUtilsMR: Writes centroids to a sequence file.
writeInt(int, Path, Configuration) - Static method in class org.apache.mahout.common.HadoopUtil
writeLabelIndex(Configuration, Iterable<String>, Path) - Static method in class org.apache.mahout.classifier.naivebayes.BayesUtils: Write the list of labels into a map file
writeLabelIndex(Configuration, Path, Iterable<Pair<Text, IntWritable>>) - Static method in class org.apache.mahout.classifier.naivebayes.BayesUtils
writeModel(Path) - Method in class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0
writeNode(DataOutput) - Method in class org.apache.mahout.classifier.df.node.CategoricalNode: Deprecated.
writeNode(DataOutput) - Method in class org.apache.mahout.classifier.df.node.Leaf: Deprecated.
writeNode(DataOutput) - Method in class org.apache.mahout.classifier.df.node.Node: Deprecated.
writeNode(DataOutput) - Method in class org.apache.mahout.classifier.df.node.NumericalNode: Deprecated.
writePolicy(ClusteringPolicy, Path) - Static method in class org.apache.mahout.clustering.classify.ClusterClassifier
writeToSeqFiles(Path) - Method in class org.apache.mahout.clustering.classify.ClusterClassifier
writeVectorsToSequenceFile(Iterable<? extends Vector>, Path, Configuration) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansUtilsMR

X

xi - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.ABtMapper

Y

yiRow - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer
YtYJob - Class in org.apache.mahout.math.hadoop.stochasticsvd: Job that accumulates Y'Y output
YtYJob.YtYMapper - Class in org.apache.mahout.math.hadoop.stochasticsvd
YtYJob.YtYReducer - Class in org.apache.mahout.math.hadoop.stochasticsvd
YtYMapper() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob.YtYMapper
YtYReducer() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob.YtYReducer

A B C D E F G H I J K L M N O P Q R S T U V W X Y