Serialized Form


Package weka.classifiers.meta

Class weka.classifiers.meta.AdaBoostM1 extends RandomizableIteratedSingleClassifierEnhancer implements Serializable

serialVersionUID: -1178107808933117974L

Serialized Fields

m_Betas

double[] m_Betas

m_NumIterationsPerformed

int m_NumIterationsPerformed

m_WeightThreshold

int m_WeightThreshold

m_UseResampling

boolean m_UseResampling

m_NumClasses

int m_NumClasses

m_ZeroR

Classifier m_ZeroR

Class weka.classifiers.meta.AdditiveRegression extends IteratedSingleClassifierEnhancer implements Serializable

serialVersionUID: -2368937577670527151L

Serialized Fields

m_shrinkage

double m_shrinkage

m_NumIterationsPerformed

int m_NumIterationsPerformed

m_zeroR

ZeroR m_zeroR

m_SuitableData

boolean m_SuitableData

Class weka.classifiers.meta.AttributeSelectedClassifier extends SingleClassifierEnhancer implements Serializable

serialVersionUID: -1151805453487947577L

Serialized Fields

m_AttributeSelection

AttributeSelection m_AttributeSelection

m_Evaluator

ASEvaluation m_Evaluator

m_Search

ASSearch m_Search

m_ReducedHeader

Instances m_ReducedHeader

m_numClasses

int m_numClasses

m_numAttributesSelected

double m_numAttributesSelected

m_selectionTime

double m_selectionTime

m_totalTime

double m_totalTime

Class weka.classifiers.meta.Bagging extends RandomizableParallelIteratedSingleClassifierEnhancer implements Serializable

serialVersionUID: -115879962237199703L

Serialized Fields

m_BagSizePercent

int m_BagSizePercent

m_CalcOutOfBag

boolean m_CalcOutOfBag

m_OutOfBagError

double m_OutOfBagError

m_random

java.util.Random m_random

m_inBag

boolean[][] m_inBag

m_data

Instances m_data

Class weka.classifiers.meta.ClassificationViaRegression extends SingleClassifierEnhancer implements Serializable

serialVersionUID: 4500023123618669859L

Serialized Fields

m_Classifiers

Classifier[] m_Classifiers

m_ClassFilters

MakeIndicator[] m_ClassFilters

Class weka.classifiers.meta.CostSensitiveClassifier extends RandomizableSingleClassifierEnhancer implements Serializable

serialVersionUID: -110658209263002404L

Serialized Fields

m_MatrixSource

int m_MatrixSource

m_OnDemandDirectory

java.io.File m_OnDemandDirectory

m_CostFile

java.lang.String m_CostFile

m_CostMatrix

CostMatrix m_CostMatrix

m_MinimizeExpectedCost

boolean m_MinimizeExpectedCost

Class weka.classifiers.meta.CVParameterSelection extends RandomizableSingleClassifierEnhancer implements Serializable

serialVersionUID: -6529603380876641265L

Serialized Fields

m_ClassifierOptions

java.lang.String[] m_ClassifierOptions

m_BestClassifierOptions

java.lang.String[] m_BestClassifierOptions

m_InitOptions

java.lang.String[] m_InitOptions

m_BestPerformance

double m_BestPerformance

m_CVParams

FastVector<E> m_CVParams

m_NumAttributes

int m_NumAttributes

m_TrainFoldSize

int m_TrainFoldSize

m_NumFolds

int m_NumFolds

Class weka.classifiers.meta.CVParameterSelection.CVParameter extends java.lang.Object implements Serializable

serialVersionUID: -4668812017709421953L

Serialized Fields

m_ParamChar

java.lang.String m_ParamChar

m_Lower

double m_Lower

m_Upper

double m_Upper

m_Steps

double m_Steps

m_ParamValue

double m_ParamValue

m_AddAtEnd

boolean m_AddAtEnd

m_RoundParam

boolean m_RoundParam

Class weka.classifiers.meta.FilteredClassifier extends SingleClassifierEnhancer implements Serializable

serialVersionUID: -4523450618538717400L

Serialized Fields

m_Filter

Filter m_Filter

m_FilteredInstances

Instances m_FilteredInstances

Class weka.classifiers.meta.LogitBoost extends RandomizableIteratedSingleClassifierEnhancer implements Serializable

serialVersionUID: -1105660358715833753L

Serialized Fields

m_Classifiers

Classifier[][] m_Classifiers

m_NumClasses

int m_NumClasses

m_NumGenerated

int m_NumGenerated

m_NumFolds

int m_NumFolds

m_NumRuns

int m_NumRuns

m_WeightThreshold

int m_WeightThreshold

m_NumericClassData

Instances m_NumericClassData

m_ClassAttribute

Attribute m_ClassAttribute

m_UseResampling

boolean m_UseResampling

m_Precision

double m_Precision

m_Shrinkage

double m_Shrinkage

m_RandomInstance

java.util.Random m_RandomInstance

m_Offset

double m_Offset

m_ZeroR

Classifier m_ZeroR

Class weka.classifiers.meta.MultiClassClassifier extends RandomizableSingleClassifierEnhancer implements Serializable

serialVersionUID: -3879602011542849141L

Serialized Fields

m_Classifiers

Classifier[] m_Classifiers

m_pairwiseCoupling

boolean m_pairwiseCoupling

m_SumOfWeights

double[] m_SumOfWeights

m_ClassFilters

Filter[] m_ClassFilters

m_ZeroR

ZeroR m_ZeroR

m_ClassAttribute

Attribute m_ClassAttribute

m_TwoClassDataset

Instances m_TwoClassDataset

m_RandomWidthFactor

double m_RandomWidthFactor

m_Method

int m_Method

Class weka.classifiers.meta.MultiClassClassifierUpdateable extends MultiClassClassifier implements Serializable

serialVersionUID: -1619685269774366430L

Class weka.classifiers.meta.MultiScheme extends RandomizableMultipleClassifiersCombiner implements Serializable

serialVersionUID: 5710744346128957520L

Serialized Fields

m_Classifier

Classifier m_Classifier

m_ClassifierIndex

int m_ClassifierIndex

m_NumXValFolds

int m_NumXValFolds

Class weka.classifiers.meta.MyBagging extends Bagging implements Serializable

Class weka.classifiers.meta.OneClassClassifier extends RandomizableSingleClassifierEnhancer implements Serializable

serialVersionUID: 6199125385010158931L

Serialized Fields

m_TargetRejectionRate

double m_TargetRejectionRate
The rejection rate of valid target objects (used to set the threshold).


m_Threshold

double m_Threshold
The probability threshold (only classes above this will be considered target).


m_Generators

java.util.ArrayList<E> m_Generators
The generators for the numeric attributes.


m_TargetClassLabel

java.lang.String m_TargetClassLabel
The value of the class attribute to consider the target class.


m_NumRepeats

int m_NumRepeats
The number of times to repeat cross validation during learning.


m_PercentHeldout

double m_PercentHeldout
The percentage of heldout data.


m_ProportionGenerated

double m_ProportionGenerated
The proportion of the data that will be generated.


m_DefaultNumericGenerator

NumericAttributeGenerator m_DefaultNumericGenerator
The default data generator for numeric attributes.


m_DefaultNominalGenerator

NominalAttributeGenerator m_DefaultNominalGenerator
The default data generator for nominal attributes.


m_AddOutlierFilter

AddValues m_AddOutlierFilter
Adds the outlier class if it doesn't already exist.


m_UseLaplaceCorrection

boolean m_UseLaplaceCorrection
Whether to include laplace correction so if there are multiple values for a class, it is reduced to just two so that any laplace correction in another classifier corrects with one possible other class rather than several.


m_MergeFilter

MergeManyValues m_MergeFilter
The filter that merges the instances down to two values.


m_UseDensityOnly

boolean m_UseDensityOnly
Whether to use only the density estimate, or to include the base classifier in the probability estimates.


m_UseInstanceWeights

boolean m_UseInstanceWeights
Whether to weight instances based on their prevalence in the test set used for calculating P(X|T).


m_Random

java.util.Random m_Random
The random number generator used internally.

Class weka.classifiers.meta.RandomCommittee extends RandomizableParallelIteratedSingleClassifierEnhancer implements Serializable

serialVersionUID: -9204394360557300093L

Serialized Fields

m_data

Instances m_data

Class weka.classifiers.meta.RandomSubSpace extends RandomizableParallelIteratedSingleClassifierEnhancer implements Serializable

serialVersionUID: 1278172513912424947L

Serialized Fields

m_SubSpaceSize

double m_SubSpaceSize

m_ZeroR

Classifier m_ZeroR

m_data

Instances m_data

Class weka.classifiers.meta.RegressionByDiscretization extends SingleClassifierEnhancer implements Serializable

serialVersionUID: 5066426153134050378L

Serialized Fields

m_Discretizer

Discretize m_Discretizer

m_NumBins

int m_NumBins

m_ClassMeans

double[] m_ClassMeans

m_ClassCounts

int[] m_ClassCounts

m_DeleteEmptyBins

boolean m_DeleteEmptyBins

m_OldIndexToNewIndex

int[] m_OldIndexToNewIndex

m_DiscretizedHeader

Instances m_DiscretizedHeader

m_UseEqualFrequency

boolean m_UseEqualFrequency

m_MinimizeAbsoluteError

boolean m_MinimizeAbsoluteError

m_estimatorType

int m_estimatorType

m_OriginalTargetValues

double[] m_OriginalTargetValues

m_NewTargetValues

int[] m_NewTargetValues

Class weka.classifiers.meta.Stacking extends RandomizableParallelMultipleClassifiersCombiner implements Serializable

serialVersionUID: 5134738557155845452L

Serialized Fields

m_MetaClassifier

Classifier m_MetaClassifier

m_MetaFormat

Instances m_MetaFormat

m_BaseFormat

Instances m_BaseFormat

m_NumFolds

int m_NumFolds

Class weka.classifiers.meta.Vote extends RandomizableMultipleClassifiersCombiner implements Serializable

serialVersionUID: -637891196294399624L

Serialized Fields

m_CombinationRule

int m_CombinationRule

m_Random

java.util.Random m_Random

m_classifiersToLoad

java.util.List<E> m_classifiersToLoad

m_preBuiltClassifiers

java.util.List<E> m_preBuiltClassifiers

Package weka.classifiers.meta.generators

Class weka.classifiers.meta.generators.DiscreteGenerator extends RandomizableGenerator implements Serializable

serialVersionUID: -2990312384506940726L

Serialized Fields

m_Probabilities

double[][] m_Probabilities
The array of probabilities for this generator.


m_Unseen

double m_Unseen
The probability of an unseen event.

Class weka.classifiers.meta.generators.DiscreteUniformGenerator extends RandomizableGenerator implements Serializable

serialVersionUID: 3639933602298510366L

Serialized Fields

m_Probabilities

double[] m_Probabilities
The array of probabilities for this generator.

Class weka.classifiers.meta.generators.EMGenerator extends RandomizableGenerator implements Serializable

serialVersionUID: 2769416817955024550L

Serialized Fields

m_EMModel

EM m_EMModel
The underlying EM model.

Class weka.classifiers.meta.generators.GaussianGenerator extends RandomizableDistributionGenerator implements Serializable

serialVersionUID: 4860675869078046797L

Class weka.classifiers.meta.generators.Generator extends java.lang.Object implements Serializable

serialVersionUID: 2412127331483792089L

Serialized Fields

m_Debug

boolean m_Debug
Whether the generator is run in debug mode.

Class weka.classifiers.meta.generators.MixedGaussianGenerator extends RandomizableDistributionGenerator implements Serializable

serialVersionUID: 1516470615315381362L

Serialized Fields

m_Distance

double m_Distance
The distance between the main distribution and each model.


m_DistanceAbsolute

boolean m_DistanceAbsolute
Whether the difference is absolute, or a modifier to the standard deviation.

Class weka.classifiers.meta.generators.NominalGenerator extends RandomizableGenerator implements Serializable

serialVersionUID: 5254947213887016283L

Serialized Fields

m_AttCounts

double[] m_AttCounts
Counts (turned into probabilities) of each attribute value.

Class weka.classifiers.meta.generators.RandomizableDistributionGenerator extends RandomizableGenerator implements Serializable

serialVersionUID: 955762136858704289L

Serialized Fields

m_Mean

double m_Mean
The mean of the underlying distribution.


m_StandardDeviation

double m_StandardDeviation
The standard deviation of the underlying distribution.

Class weka.classifiers.meta.generators.RandomizableGenerator extends Generator implements Serializable

serialVersionUID: -4182619078970023472L

Serialized Fields

m_Random

java.util.Random m_Random
The random number generator.


m_Seed

long m_Seed
The seed to the random number generator.

Class weka.classifiers.meta.generators.RandomizableRangedGenerator extends RandomizableGenerator implements Serializable

serialVersionUID: -5766761200929361752L

Serialized Fields

m_LowerRange

double m_LowerRange
The lower range of this generator.


m_UpperRange

double m_UpperRange
The upper range of this generator.

Class weka.classifiers.meta.generators.UniformDataGenerator extends RandomizableRangedGenerator implements Serializable

serialVersionUID: -6390354660638644832L