Package | Description |
---|---|
org.apache.mahout.classifier.sgd |
Implements a variety of on-line logistric regression classifiers using SGD-based algorithms.
|
Modifier and Type | Class and Description |
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class |
ElasticBandPrior
Implements a linear combination of L1 and L2 priors.
|
class |
L1
Implements the Laplacian or bi-exponential prior.
|
class |
L2
Implements the Gaussian prior.
|
class |
TPrior
Provides a t-distribution as a prior.
|
class |
UniformPrior
A uniform prior.
|
Modifier and Type | Field and Description |
---|---|
protected PriorFunction |
AbstractOnlineLogisticRegression.prior |
Modifier and Type | Method and Description |
---|---|
PriorFunction |
CrossFoldLearner.getPrior() |
PriorFunction |
AbstractOnlineLogisticRegression.getPrior() |
PriorFunction |
AdaptiveLogisticRegression.getPrior() |
Modifier and Type | Method and Description |
---|---|
void |
CrossFoldLearner.setPrior(PriorFunction prior) |
void |
AbstractOnlineLogisticRegression.setPrior(PriorFunction prior) |
Constructor and Description |
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AdaptiveLogisticRegression(int numCategories,
int numFeatures,
PriorFunction prior)
|
AdaptiveLogisticRegression(int numCategories,
int numFeatures,
PriorFunction prior,
int threadCount,
int poolSize) |
CrossFoldLearner(int folds,
int numCategories,
int numFeatures,
PriorFunction prior) |
OnlineLogisticRegression(int numCategories,
int numFeatures,
PriorFunction prior) |
Wrapper(int numCategories,
int numFeatures,
PriorFunction prior) |
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