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Package org.knime.base.node.mine.bayes.naivebayes.datamodel

This package implements the naive bayes algorithm for numerical and nominal attributes.

See:
          Description

Class Summary
AttributeModel This abstract class needs to be implemented by all attribute models and provides missing value handling and some common methods.
BitVectorAttributeModel AttributeModel implementation that can handle BitVectorValues.
ClassAttributeModel This AttributeModel implementation holds the class attribute information like the number of rows per class value.
NaiveBayesModel This class represents the learned Naive Bayes model.
NominalAttributeModel This AttributeModel implementation calculates the probability for all nominal attributes.
NumericalAttributeModel This AttributeModel implementation calculates the probability for numerical attributes by assuming a Gaussian distribution of the data.
 

Exception Summary
TooManyValuesException Exception if the maximum number of different values is exceeded.
 

Package org.knime.base.node.mine.bayes.naivebayes.datamodel Description

This package implements the naive bayes algorithm for numerical and nominal attributes.

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University of Konstanz, Germany.
Chair for Bioinformatics and Information Mining, Prof. Dr. Michael R. Berthold.
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