Uses of Interface
org.apache.mahout.classifier.sgd.PriorFunction

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)
           
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)
           
CrossFoldLearner(int folds, int numCategories, int numFeatures, PriorFunction prior)
           
OnlineLogisticRegression(int numCategories, int numFeatures, PriorFunction prior)
           
 



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