Serialized Form


Package weka.classifiers.rules

Class weka.classifiers.rules.DecisionTable extends 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

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

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 AbstractClassifier implements Serializable

serialVersionUID: -6589312996832147161L

Serialized Fields

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

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

serialVersionUID: -2410020717305262952L

Serialized Fields

m_Consequent

double m_Consequent

m_Antds

FastVector<E> m_Antds

Class weka.classifiers.rules.M5Rules extends M5Base implements Serializable

serialVersionUID: -1746114858746563180L

Class weka.classifiers.rules.OneR extends AbstractClassifier implements Serializable

serialVersionUID: -2459427002147861445L

Serialized Fields

m_rule

weka.classifiers.rules.OneR.OneRRule m_rule

m_minBucketSize

int m_minBucketSize

m_ZeroR

Classifier m_ZeroR

Class weka.classifiers.rules.PART extends AbstractClassifier implements Serializable

serialVersionUID: 8121455039782598361L

Serialized Fields

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

Class weka.classifiers.rules.Ridor extends AbstractClassifier implements Serializable

serialVersionUID: -7261533075088314436L

Serialized Fields

m_Folds

int m_Folds
The number of folds to split data into Grow and Prune for IREP


m_Shuffle

int m_Shuffle
The number of shuffles performed on the data for randomization


m_Random

java.util.Random m_Random
Random object for randomization


m_Seed

int m_Seed
The seed to perform randomization


m_IsAllErr

boolean m_IsAllErr
Whether use error rate on all the data


m_IsMajority

boolean m_IsMajority
Whether use majority class as default class


m_Root

weka.classifiers.rules.Ridor.Ridor_node m_Root
The root of Ridor


m_Class

Attribute m_Class
The class attribute of the data


m_Cover

double m_Cover
Statistics of the data


m_Err

double m_Err
Statistics of the data


m_MinNo

double m_MinNo
The minimal number of instance weights within a split

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

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

Class weka.classifiers.rules.ZeroR extends AbstractClassifier implements Serializable

serialVersionUID: 48055541465867954L

Serialized Fields

m_ClassValue

double m_ClassValue

m_Counts

double[] m_Counts

m_Class

Attribute m_Class