Serialized Form

Package weka.classifiers.rules
- Class weka.classifiers.rules.ConjunctiveRule extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -5938309903225087198L
  - Serialized Fields
    - m_Folds
```
int m_Folds
```
      The number of folds to split data into Grow and Prune for REP
    - m_ClassAttribute
```
weka.core.Attribute m_ClassAttribute
```
      The class attribute of the data
    - m_Antds
```
java.util.ArrayList<E> m_Antds
```
      The vector of antecedents of this rule
    - m_DefDstr
```
double[] m_DefDstr
```
      The default rule distribution of the data not covered
    - m_Cnsqt
```
double[] m_Cnsqt
```
      The consequent of this rule
    - m_NumClasses
```
int m_NumClasses
```
      Number of classes in the training data
    - m_Seed
```
long m_Seed
```
      The seed to perform randomization
    - m_Random
```
java.util.Random m_Random
```
      The Random object used for randomization
    - m_Targets
```
java.util.ArrayList<E> m_Targets
```
      The predicted classes recorded for each antecedent in the growing data
    - m_IsExclude
```
boolean m_IsExclude
```
      Whether to use exlusive expressions for nominal attributes
    - m_MinNo
```
double m_MinNo
```
      The minimal number of instance weights within a split
    - m_NumAntds
```
int m_NumAntds
```
      The number of antecedents in pre-pruning
- 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.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
```

Serialized Form

Package weka.classifiers.rules

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

Serialized Fields

m_Folds

m_ClassAttribute

m_Antds

m_DefDstr

m_Cnsqt

m_NumClasses

m_Seed

m_Random

m_Targets

m_IsExclude

m_MinNo

m_NumAntds

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

Serialized Fields

m_entries

m_classPriorCounts

m_classPriors

m_decisionFeatures

m_disTransform

m_delTransform

m_ibk

m_theInstances

m_dtInstances

m_numAttributes

m_numInstances

m_classIsNominal

m_useIBk

m_displayRules

m_CVFolds

m_rr

m_majority

m_search

m_evaluator

m_evaluation

m_evaluationMeasure

m_saveMemory

Class weka.classifiers.rules.DecisionTableHashKey extends java.lang.Object implements Serializable

Serialized Fields

attributes

missing

key

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

Serialized Fields

m_Class

m_Ruleset

m_Distributions

m_Optimizations

m_Random

m_Total

m_Seed

m_Folds

m_MinNo

m_Debug

m_CheckErr

m_UsePruning

m_Filter

m_RulesetStats

Class weka.classifiers.rules.JRip.Antd extends java.lang.Object implements Serializable

Serialized Fields

att

value

maxInfoGain

accuRate

cover

accu

Class weka.classifiers.rules.JRip.NominalAntd extends weka.classifiers.rules.JRip.Antd implements Serializable

Serialized Fields

accurate

coverage

Class weka.classifiers.rules.JRip.NumericAntd extends weka.classifiers.rules.JRip.Antd implements Serializable

Serialized Fields

splitPoint

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

Serialized Fields

m_Consequent

m_Antds