Serialized Form
Package weka.classifiers.bayes |
serialVersionUID: 746037443258775954L
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
serialVersionUID: 7246302925903086397L
wordWeights
double[][] wordWeights
- Weight of words for each class. The weight is actually the
log of the probability of a word (w) given a class (c)
(i.e. log(Pr[w|c])). The format of the matrix is:
wordWeights[class][wordAttribute]
smoothingParameter
double smoothingParameter
- Holds the smoothing value to avoid word probabilities of zero.
P.S.: According to the paper this is the Alpha i parameter
m_normalizeWordWeights
boolean m_normalizeWordWeights
- True if the words weights are to be normalized
numClasses
int numClasses
- Holds the number of Class values present in the set of specified
instances
header
Instances header
- The instances header that'll be used in toString
serialVersionUID: 5995231201785697655L
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
serialVersionUID: 5932177440181257085L
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
serialVersionUID: 2139025532014821394L
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
serialVersionUID: -7204398796974263186L
m_wordsPerClass
double[] m_wordsPerClass
serialVersionUID: -5354015843807192221L