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_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_lnFactorialCache

double[] m_lnFactorialCache

m_headerInfo

weka.core.Instances m_headerInfo

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

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

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 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

weka.core.FastVector<E> m_Ruleset

m_Distributions

weka.core.FastVector<E> m_Distributions

m_Optimizations

int m_Optimizations

m_Random

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

weka.core.FastVector<E> m_RulesetStats

Class weka.classifiers.rules.JRip.RipperRule extends weka.classifiers.rules.Rule implements Serializable

serialVersionUID: -2410020717305262952L

Serialized Fields

m_Consequent

double m_Consequent

m_Antds

weka.core.FastVector<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: -2459427002147861445L

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

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 Object implements Serializable

serialVersionUID: 8815687740470471229L

Class weka.classifiers.rules.RuleStats extends Object implements Serializable

serialVersionUID: -5708153367675298624L

Serialized Fields

m_Data

weka.core.Instances m_Data

m_Ruleset

weka.core.FastVector<E> m_Ruleset

m_SimpleStats

weka.core.FastVector<E> m_SimpleStats

m_Filtered

weka.core.FastVector<E> m_Filtered

m_Total

double m_Total

MDL_THEORY_WEIGHT

double MDL_THEORY_WEIGHT

m_Distributions

weka.core.FastVector<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.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

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

Class weka.classifiers.trees.M5P extends weka.classifiers.trees.m5.M5Base implements Serializable

serialVersionUID: -6118439039768244417L

Class weka.classifiers.trees.RandomForest extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: 4216839470751428698L

Serialized Fields

m_numTrees

int m_numTrees

m_numFeatures

int m_numFeatures

m_randomSeed

int m_randomSeed

m_KValue

int m_KValue

m_bagger

weka.classifiers.meta.Bagging m_bagger

m_MaxDepth

int m_MaxDepth

m_numExecutionSlots

int m_numExecutionSlots

Class weka.classifiers.trees.RandomTree extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: 8934314652175299374L

Serialized Fields

m_Successors

weka.classifiers.trees.RandomTree[] m_Successors

m_Attribute

int m_Attribute

m_SplitPoint

double m_SplitPoint

m_Info

weka.core.Instances m_Info

m_Prop

double[] m_Prop

m_ClassDistribution

double[] m_ClassDistribution

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_ZeroR

weka.classifiers.Classifier m_ZeroR

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 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