Serialized Form

Package weka.classifiers.bayes
- Class weka.classifiers.bayes.BayesNet extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  746037443258775954L
  - Serialized Fields
    - m_ParentSets
```
weka.classifiers.bayes.net.ParentSet[] m_ParentSets
```
    - m_Distributions
```
weka.estimators.Estimator[][] m_Distributions
```
    - m_DiscretizeFilter
```
weka.filters.supervised.attribute.Discretize m_DiscretizeFilter
```
    - m_nNonDiscreteAttribute
```
int m_nNonDiscreteAttribute
```
    - m_MissingValuesFilter
```
weka.filters.unsupervised.attribute.ReplaceMissingValues m_MissingValuesFilter
```
    - m_NumClasses
```
int m_NumClasses
```
    - m_Instances
```
weka.core.Instances m_Instances
```
    - m_NumInstances
```
int m_NumInstances
```
    - m_ADTree
```
weka.classifiers.bayes.net.ADNode m_ADTree
```
    - m_otherBayesNet
```
weka.classifiers.bayes.net.BIFReader m_otherBayesNet
```
    - m_bUseADTree
```
boolean m_bUseADTree
```
    - m_SearchAlgorithm
```
weka.classifiers.bayes.net.search.SearchAlgorithm m_SearchAlgorithm
```
    - m_BayesNetEstimator
```
weka.classifiers.bayes.net.estimate.BayesNetEstimator m_BayesNetEstimator
```
- Class weka.classifiers.bayes.NaiveBayes extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  5995231201785697655L
  - Serialized Fields
    - m_Distributions
```
weka.estimators.Estimator[][] m_Distributions
```
    - m_ClassDistribution
```
weka.estimators.Estimator m_ClassDistribution
```
    - m_UseKernelEstimator
```
boolean m_UseKernelEstimator
```
    - m_UseDiscretization
```
boolean m_UseDiscretization
```
    - m_NumClasses
```
int m_NumClasses
```
    - m_Instances
```
weka.core.Instances m_Instances
```
    - m_Disc
```
weka.filters.supervised.attribute.Discretize m_Disc
```
    - m_displayModelInOldFormat
```
boolean m_displayModelInOldFormat
```
- Class weka.classifiers.bayes.NaiveBayesMultinomial extends weka.classifiers.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_headerInfo
```
weka.core.Instances m_headerInfo
```
- Class weka.classifiers.bayes.NaiveBayesMultinomialText extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  2139025532014821394L
  - Serialized Fields
    - m_data
```
weka.core.Instances m_data
```
    - m_probOfClass
```
double[] m_probOfClass
```
    - m_wordsPerClass
```
double[] m_wordsPerClass
```
    - m_probOfWordGivenClass
```
java.util.Map<K,V> m_probOfWordGivenClass
```
    - m_StopwordsHandler
```
weka.core.stopwords.StopwordsHandler m_StopwordsHandler
```
    - m_tokenizer
```
weka.core.tokenizers.Tokenizer m_tokenizer
```
    - m_lowercaseTokens
```
boolean m_lowercaseTokens
```
    - m_stemmer
```
weka.core.stemmers.Stemmer m_stemmer
```
    - 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
```
    - m_numModels
```
int m_numModels
```
- Class weka.classifiers.bayes.NaiveBayesMultinomialUpdateable extends weka.classifiers.bayes.NaiveBayesMultinomial implements Serializable
  
  serialVersionUID:
  
  -7204398796974263186L
  - Serialized Fields
    - m_wordsPerClass
```
double[] m_wordsPerClass
```
- Class weka.classifiers.bayes.NaiveBayesSimple extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -1478242251770381214L
  - Serialized Fields
    - m_Counts
```
double[][][] m_Counts
```
      All the counts for nominal attributes.
    - m_Means
```
double[][] m_Means
```
      The means for numeric attributes.
    - m_Devs
```
double[][] m_Devs
```
      The standard deviations for numeric attributes.
    - m_Priors
```
double[] m_Priors
```
      The prior probabilities of the classes.
    - m_Instances
```
weka.core.Instances m_Instances
```
      The instances used for training.
- Class weka.classifiers.bayes.NaiveBayesUpdateable extends weka.classifiers.bayes.NaiveBayes implements Serializable
  
  serialVersionUID:
  
  -5354015843807192221L
Package weka.classifiers.lazy
- Class weka.classifiers.lazy.IB1 extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -6152184127304895851L
  - Serialized Fields
    - m_Train
```
weka.core.Instances m_Train
```
      The training instances used for classification.
    - m_MinArray
```
double[] m_MinArray
```
      The minimum values for numeric attributes.
    - m_MaxArray
```
double[] m_MaxArray
```
      The maximum values for numeric attributes.
- Class weka.classifiers.lazy.IBk extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -3080186098777067172L
  - Serialized Fields
    - m_Train
```
weka.core.Instances m_Train
```
    - m_NumClasses
```
int m_NumClasses
```
    - m_ClassType
```
int m_ClassType
```
    - m_kNN
```
int m_kNN
```
    - m_kNNUpper
```
int m_kNNUpper
```
    - m_kNNValid
```
boolean m_kNNValid
```
    - m_WindowSize
```
int m_WindowSize
```
    - m_DistanceWeighting
```
int m_DistanceWeighting
```
    - m_CrossValidate
```
boolean m_CrossValidate
```
    - m_MeanSquared
```
boolean m_MeanSquared
```
    - m_defaultModel
```
weka.classifiers.rules.ZeroR m_defaultModel
```
    - m_NNSearch
```
weka.core.neighboursearch.NearestNeighbourSearch m_NNSearch
```
    - m_NumAttributesUsed
```
double m_NumAttributesUsed
```
- Class weka.classifiers.lazy.KStar extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  332458330800479083L
  - Serialized Fields
    - m_Train
```
weka.core.Instances m_Train
```
    - m_NumInstances
```
int m_NumInstances
```
    - m_NumClasses
```
int m_NumClasses
```
    - m_NumAttributes
```
int m_NumAttributes
```
    - m_ClassType
```
int m_ClassType
```
    - m_RandClassCols
```
int[][] m_RandClassCols
```
    - m_ComputeRandomCols
```
int m_ComputeRandomCols
```
    - m_InitFlag
```
int m_InitFlag
```
    - m_Cache
```
weka.classifiers.lazy.kstar.KStarCache[] m_Cache
```
    - m_MissingMode
```
int m_MissingMode
```
    - m_BlendMethod
```
int m_BlendMethod
```
    - m_GlobalBlend
```
int m_GlobalBlend
```
- Class weka.classifiers.lazy.LWL extends weka.classifiers.SingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  1979797405383665815L
  - Serialized Fields
    - m_Train
```
weka.core.Instances m_Train
```
    - m_kNN
```
int m_kNN
```
    - m_WeightKernel
```
int m_WeightKernel
```
    - m_UseAllK
```
boolean m_UseAllK
```
    - m_NNSearch
```
weka.core.neighboursearch.NearestNeighbourSearch m_NNSearch
```
    - m_ZeroR
```
weka.classifiers.Classifier m_ZeroR
```
Package weka.classifiers.rules
- Class weka.classifiers.rules.DecisionTable extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  2888557078165701326L
  - Serialized Fields
    - m_entries
```
java.util.Hashtable<K,V> m_entries
```
    - m_classPriorCounts
```
double[] m_classPriorCounts
```
    - m_classPriors
```
double[] m_classPriors
```
    - m_decisionFeatures
```
int[] m_decisionFeatures
```
    - m_disTransform
```
weka.filters.Filter m_disTransform
```
    - m_delTransform
```
weka.filters.unsupervised.attribute.Remove m_delTransform
```
    - m_ibk
```
weka.classifiers.lazy.IBk m_ibk
```
    - m_theInstances
```
weka.core.Instances m_theInstances
```
    - m_dtInstances
```
weka.core.Instances m_dtInstances
```
    - m_numAttributes
```
int m_numAttributes
```
    - m_numInstances
```
int m_numInstances
```
    - m_classIsNominal
```
boolean m_classIsNominal
```
    - m_useIBk
```
boolean m_useIBk
```
    - m_displayRules
```
boolean m_displayRules
```
    - m_CVFolds
```
int m_CVFolds
```
    - m_rr
```
java.util.Random m_rr
```
    - m_majority
```
double m_majority
```
    - m_search
```
weka.attributeSelection.ASSearch m_search
```
    - m_evaluator
```
weka.attributeSelection.ASEvaluation m_evaluator
```
    - m_evaluation
```
weka.classifiers.Evaluation m_evaluation
```
    - m_evaluationMeasure
```
int m_evaluationMeasure
```
    - m_saveMemory
```
boolean m_saveMemory
```
- Class weka.classifiers.rules.DecisionTableHashKey extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  5674163500154964602L
  - Serialized Fields
    - attributes
```
double[] attributes
```
    - missing
```
boolean[] missing
```
    - key
```
int key
```
- Class weka.classifiers.rules.JRip extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -6589312996832147161L
  - Serialized Fields
    - m_Class
```
weka.core.Attribute m_Class
```
    - m_Ruleset
```
java.util.ArrayList<E> m_Ruleset
```
    - m_Distributions
```
java.util.ArrayList<E> m_Distributions
```
    - m_Optimizations
```
int m_Optimizations
```
    - m_Random
```
java.util.Random m_Random
```
    - m_Total
```
double m_Total
```
    - m_Seed
```
long m_Seed
```
    - m_Folds
```
int m_Folds
```
    - m_MinNo
```
double m_MinNo
```
    - m_Debug
```
boolean m_Debug
```
    - m_CheckErr
```
boolean m_CheckErr
```
    - m_UsePruning
```
boolean m_UsePruning
```
    - m_Filter
```
weka.filters.Filter m_Filter
```
    - m_RulesetStats
```
java.util.ArrayList<E> m_RulesetStats
```
- Class weka.classifiers.rules.JRip.Antd extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8929754772994154334L
  - Serialized Fields
    - att
```
weka.core.Attribute att
```
    - value
```
double value
```
    - maxInfoGain
```
double maxInfoGain
```
    - accuRate
```
double accuRate
```
    - cover
```
double cover
```
    - accu
```
double accu
```
- Class weka.classifiers.rules.JRip.NominalAntd extends weka.classifiers.rules.JRip.Antd implements Serializable
  
  serialVersionUID:
  
  -9102297038837585135L
  - Serialized Fields
    - accurate
```
double[] accurate
```
    - coverage
```
double[] coverage
```
- Class weka.classifiers.rules.JRip.NumericAntd extends weka.classifiers.rules.JRip.Antd implements Serializable
  
  serialVersionUID:
  
  5699457269983735442L
  - Serialized Fields
    - splitPoint
```
double splitPoint
```
- Class weka.classifiers.rules.JRip.RipperRule extends weka.classifiers.rules.Rule implements Serializable
  
  serialVersionUID:
  
  -2410020717305262952L
  - Serialized Fields
    - m_Consequent
```
double m_Consequent
```
    - m_Antds
```
java.util.ArrayList<E> m_Antds
```
- Class weka.classifiers.rules.M5Rules extends weka.classifiers.trees.m5.M5Base implements Serializable
  
  serialVersionUID:
  
  -1746114858746563180L
- Class weka.classifiers.rules.OneR extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -3459427003147861443L
  - Serialized Fields
    - m_rule
```
weka.classifiers.rules.OneR.OneRRule m_rule
```
    - m_minBucketSize
```
int m_minBucketSize
```
    - m_ZeroR
```
weka.classifiers.Classifier m_ZeroR
```
- Class weka.classifiers.rules.PART extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  8121455039782598361L
  - Serialized Fields
    - m_root
```
weka.classifiers.rules.part.MakeDecList m_root
```
    - m_CF
```
float m_CF
```
    - m_minNumObj
```
int m_minNumObj
```
    - m_useMDLcorrection
```
boolean m_useMDLcorrection
```
    - m_reducedErrorPruning
```
boolean m_reducedErrorPruning
```
    - m_numFolds
```
int m_numFolds
```
    - m_binarySplits
```
boolean m_binarySplits
```
    - m_unpruned
```
boolean m_unpruned
```
    - m_Seed
```
int m_Seed
```
    - m_doNotMakeSplitPointActualValue
```
boolean m_doNotMakeSplitPointActualValue
```
- Class weka.classifiers.rules.Prism extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1310258880025902106L
  - Serialized Fields
    - m_rules
```
weka.classifiers.rules.Prism.PrismRule m_rules
```
      The first rule in the list of rules
- Class weka.classifiers.rules.Rule extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8815687740470471229L
- Class weka.classifiers.rules.RuleStats extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5708153367675298624L
  - Serialized Fields
    - m_Data
```
weka.core.Instances m_Data
```
    - m_Ruleset
```
java.util.ArrayList<E> m_Ruleset
```
    - m_SimpleStats
```
java.util.ArrayList<E> m_SimpleStats
```
    - m_Filtered
```
java.util.ArrayList<E> m_Filtered
```
    - m_Total
```
double m_Total
```
    - MDL_THEORY_WEIGHT
```
double MDL_THEORY_WEIGHT
```
    - m_Distributions
```
java.util.ArrayList<E> m_Distributions
```
- Class weka.classifiers.rules.ZeroR extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  48055541465867954L
  - Serialized Fields
    - m_ClassValue
```
double m_ClassValue
```
    - m_Counts
```
double[] m_Counts
```
    - m_Class
```
weka.core.Attribute m_Class
```
Package weka.classifiers.trees
- Class weka.classifiers.trees.DecisionStump extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1618384535950391L
  - Serialized Fields
    - m_AttIndex
```
int m_AttIndex
```
    - m_SplitPoint
```
double m_SplitPoint
```
    - m_Distribution
```
double[][] m_Distribution
```
    - m_Instances
```
weka.core.Instances m_Instances
```
    - m_ZeroR
```
weka.classifiers.Classifier m_ZeroR
```
- Class weka.classifiers.trees.HoeffdingTree extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  7117521775722396251L
  - Serialized Fields
    - m_header
```
weka.core.Instances m_header
```
    - m_root
```
weka.classifiers.trees.ht.HNode m_root
```
    - m_gracePeriod
```
double m_gracePeriod
```
    - m_splitConfidence
```
double m_splitConfidence
```
    - m_hoeffdingTieThreshold
```
double m_hoeffdingTieThreshold
```
    - m_minFracWeightForTwoBranchesGain
```
double m_minFracWeightForTwoBranchesGain
```
    - m_selectedSplitMetric
```
int m_selectedSplitMetric
```
    - m_splitMetric
```
weka.classifiers.trees.ht.SplitMetric m_splitMetric
```
    - m_leafStrategy
```
int m_leafStrategy
```
    - m_nbThreshold
```
double m_nbThreshold
```
    - m_activeLeafCount
```
int m_activeLeafCount
```
    - m_inactiveLeafCount
```
int m_inactiveLeafCount
```
    - m_decisionNodeCount
```
int m_decisionNodeCount
```
    - m_printLeafModels
```
boolean m_printLeafModels
```
- Class weka.classifiers.trees.Id3 extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -2693678647096322561L
  - Serialized Fields
    - m_Successors
```
Id3[] m_Successors
```
      The node's successors.
    - m_Attribute
```
weka.core.Attribute m_Attribute
```
      Attribute used for splitting.
    - m_ClassValue
```
double m_ClassValue
```
      Class value if node is leaf.
    - m_Distribution
```
double[] m_Distribution
```
      Class distribution if node is leaf.
    - m_ClassAttribute
```
weka.core.Attribute m_ClassAttribute
```
      Class attribute of dataset.
- Class weka.classifiers.trees.J48 extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -217733168393644444L
  - Serialized Fields
    - m_root
```
weka.classifiers.trees.j48.ClassifierTree m_root
```
    - m_unpruned
```
boolean m_unpruned
```
    - m_collapseTree
```
boolean m_collapseTree
```
    - m_CF
```
float m_CF
```
    - m_minNumObj
```
int m_minNumObj
```
    - m_useMDLcorrection
```
boolean m_useMDLcorrection
```
    - m_useLaplace
```
boolean m_useLaplace
```
    - m_reducedErrorPruning
```
boolean m_reducedErrorPruning
```
    - m_numFolds
```
int m_numFolds
```
    - m_binarySplits
```
boolean m_binarySplits
```
    - m_subtreeRaising
```
boolean m_subtreeRaising
```
    - m_noCleanup
```
boolean m_noCleanup
```
    - m_Seed
```
int m_Seed
```
    - m_doNotMakeSplitPointActualValue
```
boolean m_doNotMakeSplitPointActualValue
```
- Class weka.classifiers.trees.LMT extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -1113212459618104943L
  - Serialized Fields
    - m_replaceMissing
```
weka.filters.unsupervised.attribute.ReplaceMissingValues m_replaceMissing
```
    - m_nominalToBinary
```
weka.filters.supervised.attribute.NominalToBinary m_nominalToBinary
```
    - m_tree
```
weka.classifiers.trees.lmt.LMTNode m_tree
```
    - m_fastRegression
```
boolean m_fastRegression
```
    - m_convertNominal
```
boolean m_convertNominal
```
    - m_splitOnResiduals
```
boolean m_splitOnResiduals
```
    - m_errorOnProbabilities
```
boolean m_errorOnProbabilities
```
    - m_minNumInstances
```
int m_minNumInstances
```
    - m_numBoostingIterations
```
int m_numBoostingIterations
```
    - m_weightTrimBeta
```
double m_weightTrimBeta
```
    - m_useAIC
```
boolean m_useAIC
```
    - m_doNotMakeSplitPointActualValue
```
boolean m_doNotMakeSplitPointActualValue
```
- Class weka.classifiers.trees.M5P extends weka.classifiers.trees.m5.M5Base implements Serializable
  
  serialVersionUID:
  
  -6118439039768244417L
- Class weka.classifiers.trees.RandomForest extends weka.classifiers.meta.Bagging implements Serializable
  
  serialVersionUID:
  
  1116839470751428698L
  - Serialized Fields
    - m_computeAttributeImportance
```
boolean m_computeAttributeImportance
```
- Class weka.classifiers.trees.RandomTree extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -9051119597407396024L
  - Serialized Fields
    - m_Tree
```
weka.classifiers.trees.RandomTree.Tree m_Tree
```
    - m_Info
```
weka.core.Instances m_Info
```
    - m_MinNum
```
double m_MinNum
```
    - m_KValue
```
int m_KValue
```
    - m_randomSeed
```
int m_randomSeed
```
    - m_MaxDepth
```
int m_MaxDepth
```
    - m_NumFolds
```
int m_NumFolds
```
    - m_AllowUnclassifiedInstances
```
boolean m_AllowUnclassifiedInstances
```
    - m_BreakTiesRandomly
```
boolean m_BreakTiesRandomly
```
    - m_zeroR
```
weka.classifiers.Classifier m_zeroR
```
    - m_MinVarianceProp
```
double m_MinVarianceProp
```
    - m_computeImpurityDecreases
```
boolean m_computeImpurityDecreases
```
    - m_impurityDecreasees
```
double[][] m_impurityDecreasees
```
- Class weka.classifiers.trees.RandomTree.Tree extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3549573538656522569L
  - Serialized Fields
    - m_Successors
```
weka.classifiers.trees.RandomTree.Tree[] m_Successors
```
    - m_Attribute
```
int m_Attribute
```
    - m_SplitPoint
```
double m_SplitPoint
```
    - m_Prop
```
double[] m_Prop
```
    - m_ClassDistribution
```
double[] m_ClassDistribution
```
    - m_Distribution
```
double[] m_Distribution
```
- Class weka.classifiers.trees.REPTree extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -9216785998198681299L
  - Serialized Fields
    - m_zeroR
```
weka.classifiers.rules.ZeroR m_zeroR
```
    - m_Tree
```
weka.classifiers.trees.REPTree.Tree m_Tree
```
    - m_NumFolds
```
int m_NumFolds
```
    - m_Seed
```
int m_Seed
```
    - m_NoPruning
```
boolean m_NoPruning
```
    - m_MinNum
```
double m_MinNum
```
    - m_MinVarianceProp
```
double m_MinVarianceProp
```
    - m_MaxDepth
```
int m_MaxDepth
```
    - m_InitialCount
```
double m_InitialCount
```
    - m_SpreadInitialCount
```
boolean m_SpreadInitialCount
```
- Class weka.classifiers.trees.REPTree.Tree extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -1635481717888437935L
  - Serialized Fields
    - m_Info
```
weka.core.Instances m_Info
```
    - m_Successors
```
weka.classifiers.trees.REPTree.Tree[] m_Successors
```
    - m_Attribute
```
int m_Attribute
```
    - m_SplitPoint
```
double m_SplitPoint
```
    - m_Prop
```
double[] m_Prop
```
    - m_ClassProbs
```
double[] m_ClassProbs
```
    - m_Distribution
```
double[] m_Distribution
```
    - m_HoldOutDist
```
double[] m_HoldOutDist
```
    - m_HoldOutError
```
double m_HoldOutError
```

Serialized Form

Package weka.classifiers.bayes

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

Serialized Fields

m_ParentSets

m_Distributions

m_DiscretizeFilter

m_nNonDiscreteAttribute

m_MissingValuesFilter

m_NumClasses

m_Instances

m_NumInstances

m_ADTree

m_otherBayesNet

m_bUseADTree

m_SearchAlgorithm

m_BayesNetEstimator

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

Serialized Fields

m_Distributions

m_ClassDistribution

m_UseKernelEstimator

m_UseDiscretization

m_NumClasses

m_Instances

m_Disc

m_displayModelInOldFormat

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

Serialized Fields

m_probOfWordGivenClass

m_probOfClass

m_numAttributes

m_numClasses

m_headerInfo

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

Serialized Fields

m_data

m_probOfClass

m_wordsPerClass

m_probOfWordGivenClass

m_StopwordsHandler

m_tokenizer

m_lowercaseTokens

m_stemmer

m_periodicP

m_minWordP

m_wordFrequencies

m_normalize

m_norm

m_lnorm

m_leplace

m_t

m_numModels

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

Serialized Fields

m_wordsPerClass

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

Serialized Fields

m_Counts

m_Means

m_Devs

m_Priors

m_Instances

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

Package weka.classifiers.lazy

Class weka.classifiers.lazy.IB1 extends weka.classifiers.AbstractClassifier implements Serializable

Serialized Fields

m_Train

m_MinArray

m_MaxArray

Class weka.classifiers.lazy.IBk extends weka.classifiers.AbstractClassifier implements Serializable

Serialized Fields

m_Train

m_NumClasses

m_ClassType

m_kNN

m_kNNUpper

m_kNNValid

m_WindowSize

m_DistanceWeighting