Package | Description |
---|---|
org.apache.mahout.classifier.naivebayes | |
org.apache.mahout.classifier.sgd |
Implements a variety of on-line logistric regression classifiers using SGD-based algorithms.
|
org.apache.mahout.clustering.classify |
Modifier and Type | Class and Description |
---|---|
class |
AbstractNaiveBayesClassifier
Class implementing the Naive Bayes Classifier Algorithm.
|
class |
ComplementaryNaiveBayesClassifier
Implementation of the Naive Bayes Classifier Algorithm
|
class |
StandardNaiveBayesClassifier
Implementation of the Naive Bayes Classifier Algorithm
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractOnlineLogisticRegression
Generic definition of a 1 of n logistic regression classifier that returns probabilities in
response to a feature vector.
|
class |
CrossFoldLearner
Does cross-fold validation of log-likelihood and AUC on several online logistic regression
models.
|
class |
GradientMachine
Online gradient machine learner that tries to minimize the label ranking hinge loss.
|
class |
OnlineLogisticRegression
Extends the basic on-line logistic regression learner with a specific set of learning
rate annealing schedules.
|
class |
PassiveAggressive
Online passive aggressive learner that tries to minimize the label ranking hinge loss.
|
Modifier and Type | Method and Description |
---|---|
Vector |
RankingGradient.apply(String groupKey,
int actual,
Vector instance,
AbstractVectorClassifier classifier) |
Vector |
Gradient.apply(String groupKey,
int actual,
Vector instance,
AbstractVectorClassifier classifier) |
Vector |
MixedGradient.apply(String groupKey,
int actual,
Vector instance,
AbstractVectorClassifier classifier) |
Vector |
DefaultGradient.apply(String groupKey,
int actual,
Vector instance,
AbstractVectorClassifier classifier)
Provides a default gradient computation useful for logistic regression.
|
void |
ModelDissector.update(Vector features,
Map<String,Set<Integer>> traceDictionary,
AbstractVectorClassifier learner)
Probes a model to determine the effect of a particular variable.
|
Modifier and Type | Class and Description |
---|---|
class |
ClusterClassifier
This classifier works with any ClusteringPolicy and its associated Clusters.
|
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