## 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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