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See:
Description
Class Summary | |
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AttributeModel | This abstract class needs to be implemented by all attribute models and provides missing value handling and some common methods. |
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 | |
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TooManyValuesException | Exception if the maximum number of different values is exceeded. |
This package implements the naive bayes algorithm for numerical and nominal attributes.
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