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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