## Uses of Class
org.apache.mahout.classifier.bayes.exceptions.InvalidDatastoreException

Packages that use InvalidDatastoreException
org.apache.mahout.classifier.bayes
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 InvalidDatastoreException in org.apache.mahout.classifier.bayes

Methods in org.apache.mahout.classifier.bayes that throw InvalidDatastoreException
`static void` `TestClassifier.classifySequential(BayesParameters params)`
`static void` `TestClassifier.main(java.lang.String[] args)`

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

Methods in org.apache.mahout.classifier.bayes.algorithm that throw InvalidDatastoreException
`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 InvalidDatastoreException in org.apache.mahout.classifier.bayes.datastore

Methods in org.apache.mahout.classifier.bayes.datastore that throw InvalidDatastoreException
`java.util.Collection<java.lang.String>` `InMemoryBayesDatastore.getKeys(java.lang.String name)`
`java.util.Collection<java.lang.String>` `HBaseBayesDatastore.getKeys(java.lang.String name)`
`double` `InMemoryBayesDatastore.getWeight(java.lang.String vectorName, java.lang.String index)`
`double` `HBaseBayesDatastore.getWeight(java.lang.String vectorName, java.lang.String index)`
`double` `InMemoryBayesDatastore.getWeight(java.lang.String matrixName, java.lang.String row, java.lang.String column)`
`double` `HBaseBayesDatastore.getWeight(java.lang.String matrixName, java.lang.String row, java.lang.String column)`
`void` `InMemoryBayesDatastore.initialize()`
`void` `HBaseBayesDatastore.initialize()`

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

Methods in org.apache.mahout.classifier.bayes.interfaces that throw InvalidDatastoreException
`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>` `Datastore.getKeys(java.lang.String name)` get the keySet of a given Matrix/Vector as given by `name`
`java.util.Collection<java.lang.String>` `Algorithm.getLabels(Datastore datastore)` Returns the labels in the given Model
`double` `Datastore.getWeight(java.lang.String vectorName, java.lang.String index)` Gets a double value from the Vector pointed to by the `vectorName` from its cell pointed to by the `index`
`double` `Datastore.getWeight(java.lang.String matrixName, java.lang.String row, java.lang.String column)` Gets a double value from the Matrix pointed to by the `matrixName` from its cell pointed to by the `row` and `column` string
`void` `Datastore.initialize()` Initializes the and loads the model into memory/cache if necessary
`void` `Algorithm.initialize(Datastore datastore)` Initialize the data store and verifies the data in it.

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

Methods in org.apache.mahout.classifier.bayes.model that throw InvalidDatastoreException
`ClassifierResult` `ClassifierContext.classifyDocument(java.lang.String[] document, java.lang.String defaultCategory)` Classify the document and return the Result
`ClassifierResult[]` `ClassifierContext.classifyDocument(java.lang.String[] document, java.lang.String defaultCategory, int numResults)` Classify the document and return the top `numResults`
`java.util.Collection<java.lang.String>` `ClassifierContext.getLabels()` Gets the labels in the given model
`void` `ClassifierContext.initialize()` Initializes the Context.

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