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| Packages that use PriorFunction | |
|---|---|
| org.apache.mahout.classifier.sgd | Implements a variety of on-line logistric regression classifiers using SGD-based algorithms. |
| Uses of PriorFunction in org.apache.mahout.classifier.sgd |
|---|
| Classes in org.apache.mahout.classifier.sgd that implement PriorFunction | |
|---|---|
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. |
| Fields in org.apache.mahout.classifier.sgd declared as PriorFunction | |
|---|---|
protected PriorFunction |
AbstractOnlineLogisticRegression.prior
|
| Methods in org.apache.mahout.classifier.sgd that return PriorFunction | |
|---|---|
PriorFunction |
CrossFoldLearner.getPrior()
|
PriorFunction |
AdaptiveLogisticRegression.getPrior()
|
PriorFunction |
AbstractOnlineLogisticRegression.getPrior()
|
| Methods in org.apache.mahout.classifier.sgd with parameters of type PriorFunction | |
|---|---|
void |
CrossFoldLearner.setPrior(PriorFunction prior)
|
void |
AbstractOnlineLogisticRegression.setPrior(PriorFunction prior)
|
| Constructors in org.apache.mahout.classifier.sgd with parameters of type PriorFunction | |
|---|---|
AdaptiveLogisticRegression.Wrapper(int numCategories,
int numFeatures,
PriorFunction prior)
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AdaptiveLogisticRegression(int numCategories,
int numFeatures,
PriorFunction prior)
Uses AdaptiveLogisticRegression.DEFAULT_THREAD_COUNT and AdaptiveLogisticRegression.DEFAULT_POOL_SIZE |
|
AdaptiveLogisticRegression(int numCategories,
int numFeatures,
PriorFunction prior,
int threadCount,
int poolSize)
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CrossFoldLearner(int folds,
int numCategories,
int numFeatures,
PriorFunction prior)
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OnlineLogisticRegression(int numCategories,
int numFeatures,
PriorFunction prior)
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