Uses of Interface
org.apache.mahout.classifier.bayes.interfaces.Datastore

Packages that use Datastore
org.apache.mahout.classifier.bayes.algorithm   
org.apache.mahout.classifier.bayes.datastore   
org.apache.mahout.classifier.bayes.interfaces   
org.apache.mahout.classifier.bayes.model   
 

Uses of Datastore in org.apache.mahout.classifier.bayes.algorithm
 

Methods in org.apache.mahout.classifier.bayes.algorithm with parameters of type Datastore
 ClassifierResult CBayesAlgorithm.classifyDocument(java.lang.String[] document, Datastore datastore, java.lang.String defaultCategory)
           
 ClassifierResult BayesAlgorithm.classifyDocument(java.lang.String[] document, Datastore datastore, java.lang.String defaultCategory)
           
 ClassifierResult[] CBayesAlgorithm.classifyDocument(java.lang.String[] document, Datastore datastore, java.lang.String defaultCategory, int numResults)
           
 ClassifierResult[] BayesAlgorithm.classifyDocument(java.lang.String[] document, Datastore datastore, java.lang.String defaultCategory, int numResults)
           
 double CBayesAlgorithm.documentWeight(Datastore datastore, java.lang.String label, java.lang.String[] document)
           
 double BayesAlgorithm.documentWeight(Datastore datastore, java.lang.String label, java.lang.String[] document)
           
 double CBayesAlgorithm.featureWeight(Datastore datastore, java.lang.String label, java.lang.String feature)
           
 double BayesAlgorithm.featureWeight(Datastore datastore, java.lang.String label, java.lang.String feature)
           
 java.util.Collection<java.lang.String> CBayesAlgorithm.getLabels(Datastore datastore)
           
 java.util.Collection<java.lang.String> BayesAlgorithm.getLabels(Datastore datastore)
           
 void CBayesAlgorithm.initialize(Datastore datastore)
           
 void BayesAlgorithm.initialize(Datastore datastore)
           
 

Uses of Datastore in org.apache.mahout.classifier.bayes.datastore
 

Classes in org.apache.mahout.classifier.bayes.datastore that implement Datastore
 class HBaseBayesDatastore
          Class implementing the Datastore for Algorithms to read HBase based model
 class InMemoryBayesDatastore
          Class implementing the Datastore for Algorithms to read In-Memory model
 

Uses of Datastore in org.apache.mahout.classifier.bayes.interfaces
 

Methods in org.apache.mahout.classifier.bayes.interfaces with parameters of type Datastore
 ClassifierResult Algorithm.classifyDocument(java.lang.String[] document, Datastore datastore, java.lang.String defaultCategory)
          Classify the document and return the Result
 ClassifierResult[] Algorithm.classifyDocument(java.lang.String[] document, Datastore datastore, java.lang.String defaultCategory, int numResults)
          Classify the document and return the top numResults
 double Algorithm.documentWeight(Datastore datastore, java.lang.String label, java.lang.String[] document)
          Calculate the document weight as the dot product of document vector and the corresponding weight vector of a particular class
 double Algorithm.featureWeight(Datastore datastore, java.lang.String label, java.lang.String feature)
          Get the weighted probability of the feature.
 java.util.Collection<java.lang.String> Algorithm.getLabels(Datastore datastore)
          Returns the labels in the given Model
 void Algorithm.initialize(Datastore datastore)
          Initialize the data store and verifies the data in it.
 

Uses of Datastore in org.apache.mahout.classifier.bayes.model
 

Constructors in org.apache.mahout.classifier.bayes.model with parameters of type Datastore
ClassifierContext(Algorithm algorithm, Datastore datastore)
           
 



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