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

Packages that use Datastore
org.apache.mahout.classifier.bayes Introduction 
 

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

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

Methods in org.apache.mahout.classifier.bayes with parameters of type Datastore
 ClassifierResult CBayesAlgorithm.classifyDocument(String[] document, Datastore datastore, String defaultCategory)
           
 ClassifierResult BayesAlgorithm.classifyDocument(String[] document, Datastore datastore, String defaultCategory)
           
 ClassifierResult Algorithm.classifyDocument(String[] document, Datastore datastore, String defaultCategory)
          Classify the document and return the Result
 ClassifierResult[] Algorithm.classifyDocument(String[] document, Datastore datastore, String defaultCategory, int numResults)
          Classify the document and return the top numResults
 double CBayesAlgorithm.documentWeight(Datastore datastore, String label, String[] document)
           
 double BayesAlgorithm.documentWeight(Datastore datastore, String label, String[] document)
           
 double Algorithm.documentWeight(Datastore datastore, String label, String[] document)
          Calculate the document weight as the dot product of document vector and the corresponding weight vector of a particular class
 double CBayesAlgorithm.featureWeight(Datastore datastore, String label, String feature)
           
 double BayesAlgorithm.featureWeight(Datastore datastore, String label, String feature)
           
 double Algorithm.featureWeight(Datastore datastore, String label, String feature)
          Get the weighted probability of the feature.
 Collection<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.
 

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



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