Serialized Form


Package weka.classifiers.bayes

Class weka.classifiers.bayes.BayesNet extends AbstractClassifier implements Serializable

serialVersionUID: 746037443258775954L

Serialized Fields

m_ParentSets

ParentSet[] m_ParentSets

m_Distributions

Estimator[][] m_Distributions

m_DiscretizeFilter

Discretize m_DiscretizeFilter

m_nNonDiscreteAttribute

int m_nNonDiscreteAttribute

m_MissingValuesFilter

ReplaceMissingValues m_MissingValuesFilter

m_NumClasses

int m_NumClasses

m_Instances

Instances m_Instances

m_ADTree

ADNode m_ADTree

m_otherBayesNet

BIFReader m_otherBayesNet

m_bUseADTree

boolean m_bUseADTree

m_SearchAlgorithm

SearchAlgorithm m_SearchAlgorithm

m_BayesNetEstimator

BayesNetEstimator m_BayesNetEstimator

Class weka.classifiers.bayes.HNB extends AbstractClassifier implements Serializable

serialVersionUID: -4503874444306113214L

Serialized Fields

m_ClassCounts

double[] m_ClassCounts
The number of each class value occurs in the dataset


m_ClassAttAttCounts

double[][][] m_ClassAttAttCounts
The number of class and two attributes values occurs in the dataset


m_NumAttValues

int[] m_NumAttValues
The number of values for each attribute in the dataset


m_TotalAttValues

int m_TotalAttValues
The number of values for all attributes in the dataset


m_NumClasses

int m_NumClasses
The number of classes in the dataset


m_NumAttributes

int m_NumAttributes
The number of attributes including class in the dataset


m_NumInstances

int m_NumInstances
The number of instances in the dataset


m_ClassIndex

int m_ClassIndex
The index of the class attribute in the dataset


m_StartAttIndex

int[] m_StartAttIndex
The starting index of each attribute in the dataset


m_condiMutualInfo

double[][] m_condiMutualInfo
The 2D array of conditional mutual information of each pair attributes

Class weka.classifiers.bayes.NaiveBayes extends AbstractClassifier implements Serializable

serialVersionUID: 5995231201785697655L

Serialized Fields

m_Distributions

Estimator[][] m_Distributions

m_ClassDistribution

Estimator m_ClassDistribution

m_UseKernelEstimator

boolean m_UseKernelEstimator

m_UseDiscretization

boolean m_UseDiscretization

m_NumClasses

int m_NumClasses

m_Instances

Instances m_Instances

m_Disc

Discretize m_Disc

m_displayModelInOldFormat

boolean m_displayModelInOldFormat

Class weka.classifiers.bayes.NaiveBayesMultinomial extends AbstractClassifier implements Serializable

serialVersionUID: 5932177440181257085L

Serialized Fields

m_probOfWordGivenClass

double[][] m_probOfWordGivenClass

m_probOfClass

double[] m_probOfClass

m_numAttributes

int m_numAttributes

m_numClasses

int m_numClasses

m_lnFactorialCache

double[] m_lnFactorialCache

m_headerInfo

Instances m_headerInfo

Class weka.classifiers.bayes.NaiveBayesMultinomialText extends AbstractClassifier implements Serializable

serialVersionUID: 2139025532014821394L

Serialized Fields

m_data

Instances m_data

m_probOfClass

double[] m_probOfClass

m_wordsPerClass

double[] m_wordsPerClass

m_probOfWordGivenClass

java.util.Map<K,V> m_probOfWordGivenClass

m_stopwordsFile

java.io.File m_stopwordsFile

m_tokenizer

Tokenizer m_tokenizer

m_lowercaseTokens

boolean m_lowercaseTokens

m_stemmer

Stemmer m_stemmer

m_useStopList

boolean m_useStopList

m_periodicP

int m_periodicP

m_minWordP

double m_minWordP

m_wordFrequencies

boolean m_wordFrequencies

m_normalize

boolean m_normalize

m_norm

double m_norm

m_lnorm

double m_lnorm

m_leplace

double m_leplace

m_t

double m_t

Class weka.classifiers.bayes.NaiveBayesMultinomialUpdateable extends NaiveBayesMultinomial implements Serializable

serialVersionUID: -7204398796974263186L

Serialized Fields

m_wordsPerClass

double[] m_wordsPerClass

Class weka.classifiers.bayes.NaiveBayesUpdateable extends NaiveBayes implements Serializable

serialVersionUID: -5354015843807192221L