Serialized Form
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: 4084742275553788972L
m_Train
Instances m_Train
- An empty instances to keep the headers, the classIndex, etc...
m_Exemplars
weka.classifiers.rules.NNge.Exemplar m_Exemplars
- The list of Exemplars
m_ExemplarsByClass
weka.classifiers.rules.NNge.Exemplar[] m_ExemplarsByClass
- The lists of Exemplars by class
m_MinArray
double[] m_MinArray
- The minimum values for numeric attributes.
m_MaxArray
double[] m_MaxArray
- The maximum values for numeric attributes.
m_NumAttemptsOfGene
int m_NumAttemptsOfGene
- The number of try for generalisation
m_NumFoldersMI
int m_NumFoldersMI
- The number of folder for the Mutual Information
m_MissingVector
double[] m_MissingVector
- Values to use for missing value
m_MI_NumAttrClassInter
int[][][] m_MI_NumAttrClassInter
- MUTUAL INFORMATION'S DATAS
m_MI_NumAttrInter
int[][] m_MI_NumAttrInter
m_MI_MaxArray
double[] m_MI_MaxArray
m_MI_MinArray
double[] m_MI_MinArray
m_MI_NumAttrClassValue
int[][][] m_MI_NumAttrClassValue
m_MI_NumAttrValue
int[][] m_MI_NumAttrValue
m_MI_NumClass
int[] m_MI_NumClass
m_MI_NumInst
int m_MI_NumInst
m_MI
double[] m_MI
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: 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