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: 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: -7204398796974263186L
m_wordsPerClass
double[] m_wordsPerClass
serialVersionUID: -1478242251770381214L
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
Instances m_Instances
- The instances used for training.
serialVersionUID: -5354015843807192221L
Package weka.classifiers.lazy |
serialVersionUID: -6152184127304895851L
m_Train
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.
serialVersionUID: -3080186098777067172L
m_Train
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
ZeroR m_defaultModel
m_NNSearch
NearestNeighbourSearch m_NNSearch
m_NumAttributesUsed
double m_NumAttributesUsed
serialVersionUID: 332458330800479083L
m_Train
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
KStarCache[] m_Cache
m_MissingMode
int m_MissingMode
m_BlendMethod
int m_BlendMethod
m_GlobalBlend
int m_GlobalBlend
serialVersionUID: 1979797405383665815L
m_Train
Instances m_Train
m_kNN
int m_kNN
m_WeightKernel
int m_WeightKernel
m_UseAllK
boolean m_UseAllK
m_NNSearch
NearestNeighbourSearch m_NNSearch
m_ZeroR
Classifier m_ZeroR
Package weka.classifiers.rules |
serialVersionUID: 2888557078165701326L
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
Filter m_disTransform
m_delTransform
Remove m_delTransform
m_ibk
IBk m_ibk
m_theInstances
Instances m_theInstances
m_dtInstances
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
ASSearch m_search
m_evaluator
ASEvaluation m_evaluator
m_evaluation
Evaluation m_evaluation
m_evaluationMeasure
int m_evaluationMeasure
m_saveMemory
boolean m_saveMemory
serialVersionUID: 5674163500154964602L
attributes
double[] attributes
missing
boolean[] missing
key
int key
serialVersionUID: -6589312996832147161L
m_Class
Attribute m_Class
m_Ruleset
FastVector<E> m_Ruleset
m_Distributions
FastVector<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
Filter m_Filter
m_RulesetStats
FastVector<E> m_RulesetStats
serialVersionUID: -2410020717305262952L
m_Consequent
double m_Consequent
m_Antds
FastVector<E> m_Antds
serialVersionUID: -1746114858746563180L
serialVersionUID: -2459427002147861445L
m_rule
weka.classifiers.rules.OneR.OneRRule m_rule
m_minBucketSize
int m_minBucketSize
m_ZeroR
Classifier m_ZeroR
serialVersionUID: 8121455039782598361L
m_root
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
serialVersionUID: 1310258880025902106L
m_rules
weka.classifiers.rules.Prism.PrismRule m_rules
- The first rule in the list of rules
serialVersionUID: 8815687740470471229L
serialVersionUID: -5708153367675298624L
m_Data
Instances m_Data
m_Ruleset
FastVector<E> m_Ruleset
m_SimpleStats
FastVector<E> m_SimpleStats
m_Filtered
FastVector<E> m_Filtered
m_Total
double m_Total
MDL_THEORY_WEIGHT
double MDL_THEORY_WEIGHT
m_Distributions
FastVector<E> m_Distributions
serialVersionUID: 48055541465867954L
m_ClassValue
double m_ClassValue
m_Counts
double[] m_Counts
m_Class
Attribute m_Class
Package weka.classifiers.trees |
serialVersionUID: 1618384535950391L
m_AttIndex
int m_AttIndex
m_SplitPoint
double m_SplitPoint
m_Distribution
double[][] m_Distribution
m_Instances
Instances m_Instances
m_ZeroR
Classifier m_ZeroR
serialVersionUID: -2693678647096322561L
m_Successors
Id3[] m_Successors
- The node's successors.
m_Attribute
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
Attribute m_ClassAttribute
- Class attribute of dataset.
serialVersionUID: -217733168393644444L
m_root
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
serialVersionUID: -1113212459618104943L
m_replaceMissing
ReplaceMissingValues m_replaceMissing
m_nominalToBinary
NominalToBinary m_nominalToBinary
m_tree
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
serialVersionUID: -6118439039768244417L
serialVersionUID: 4216839470751428698L
m_numTrees
int m_numTrees
m_numFeatures
int m_numFeatures
m_randomSeed
int m_randomSeed
m_KValue
int m_KValue
m_bagger
Bagging m_bagger
m_MaxDepth
int m_MaxDepth
serialVersionUID: 8934314652175299374L
m_Successors
RandomTree[] m_Successors
m_Attribute
int m_Attribute
m_SplitPoint
double m_SplitPoint
m_Info
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
Classifier m_ZeroR
serialVersionUID: -9216785998198681299L
m_zeroR
ZeroR m_zeroR
m_Tree
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
serialVersionUID: -1635481717888437935L
m_Info
Instances m_Info
m_Successors
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