Serialized Form

Package weka.classifiers.functions

Class weka.classifiers.functions.GaussianProcesses extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: -8620066949967678545L

Serialized Fields

m_NominalToBinary

weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary

m_Filter

weka.filters.Filter m_Filter

m_filterType

int m_filterType

m_Missing

weka.filters.unsupervised.attribute.ReplaceMissingValues m_Missing

m_checksTurnedOff

boolean m_checksTurnedOff

m_delta

double m_delta

m_Alin

double m_Alin

m_Blin

double m_Blin

m_kernel

weka.classifiers.functions.supportVector.Kernel m_kernel

m_NumTrain

int m_NumTrain

m_avg_target

double m_avg_target

m_L

double[][] m_L

m_t

weka.core.matrix.Matrix m_t

Class weka.classifiers.functions.LinearRegression extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: -3364580862046573747L

Serialized Fields

m_Coefficients

double[] m_Coefficients

m_SelectedAttributes

boolean[] m_SelectedAttributes

m_TransformedData

weka.core.Instances m_TransformedData

m_MissingFilter

weka.filters.unsupervised.attribute.ReplaceMissingValues m_MissingFilter

m_TransformFilter

weka.filters.supervised.attribute.NominalToBinary m_TransformFilter

m_ClassStdDev

double m_ClassStdDev

m_ClassMean

double m_ClassMean

m_ClassIndex

int m_ClassIndex

m_Means

double[] m_Means

m_StdDevs

double[] m_StdDevs

b_Debug

boolean b_Debug

m_AttributeSelection

int m_AttributeSelection

m_EliminateColinearAttributes

boolean m_EliminateColinearAttributes

m_checksTurnedOff

boolean m_checksTurnedOff

m_Ridge

double m_Ridge

Class weka.classifiers.functions.Logistic extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: 3932117032546553727L

Serialized Fields

m_Par

double[][] m_Par

m_Data

double[][] m_Data

m_NumPredictors

int m_NumPredictors

m_ClassIndex

int m_ClassIndex

m_NumClasses

int m_NumClasses

m_Ridge

double m_Ridge

m_AttFilter

weka.filters.unsupervised.attribute.RemoveUseless m_AttFilter

m_NominalToBinary

weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary

m_ReplaceMissingValues

weka.filters.unsupervised.attribute.ReplaceMissingValues m_ReplaceMissingValues

m_Debug

boolean m_Debug

m_LL

double m_LL

m_MaxIts

int m_MaxIts

m_structure

weka.core.Instances m_structure

Class weka.classifiers.functions.MultilayerPerceptron extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: -5990607817048210779L

Serialized Fields

m_ZeroR

weka.classifiers.Classifier m_ZeroR

m_useDefaultModel

boolean m_useDefaultModel

m_instances

weka.core.Instances m_instances

m_currentInstance

weka.core.Instance m_currentInstance

m_numeric

boolean m_numeric

m_attributeRanges

double[] m_attributeRanges

m_attributeBases

double[] m_attributeBases

m_outputs

weka.classifiers.functions.MultilayerPerceptron.NeuralEnd[] m_outputs

m_inputs

weka.classifiers.functions.MultilayerPerceptron.NeuralEnd[] m_inputs

m_neuralNodes

weka.classifiers.functions.neural.NeuralConnection[] m_neuralNodes

m_numClasses

int m_numClasses

m_numAttributes

int m_numAttributes

m_nodePanel

weka.classifiers.functions.MultilayerPerceptron.NodePanel m_nodePanel

m_controlPanel

weka.classifiers.functions.MultilayerPerceptron.ControlPanel m_controlPanel

m_nextId

int m_nextId

m_selected

weka.core.FastVector<E> m_selected

m_graphers

weka.core.FastVector<E> m_graphers

m_numEpochs

int m_numEpochs

m_stopIt

boolean m_stopIt

m_stopped

boolean m_stopped

m_accepted

boolean m_accepted

m_win

JFrame m_win

m_autoBuild

boolean m_autoBuild

m_gui

boolean m_gui

m_valSize

int m_valSize

m_driftThreshold

int m_driftThreshold

m_randomSeed

int m_randomSeed

m_random

Random m_random

m_useNomToBin

boolean m_useNomToBin

m_nominalToBinaryFilter

weka.filters.unsupervised.attribute.NominalToBinary m_nominalToBinaryFilter

m_hiddenLayers

String m_hiddenLayers

m_normalizeAttributes

boolean m_normalizeAttributes

m_decay

boolean m_decay

m_learningRate

double m_learningRate

m_momentum

double m_momentum

m_epoch

int m_epoch

m_error

double m_error

m_reset

boolean m_reset

m_normalizeClass

boolean m_normalizeClass

m_sigmoidUnit

weka.classifiers.functions.neural.SigmoidUnit m_sigmoidUnit

m_linearUnit

weka.classifiers.functions.neural.LinearUnit m_linearUnit

Class weka.classifiers.functions.MultilayerPerceptron.NeuralEnd extends weka.classifiers.functions.neural.NeuralConnection implements Serializable

serialVersionUID: 7305185603191183338L

Serialized Fields

m_link

int m_link

m_input

boolean m_input

Class weka.classifiers.functions.PLSClassifier extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: 4819775160590973256L

Serialized Fields

m_Filter

PLSFilter m_Filter

the PLS filter

m_ActualFilter

PLSFilter m_ActualFilter

the actual filter to use

Class weka.classifiers.functions.SGD extends weka.classifiers.RandomizableClassifier implements Serializable

serialVersionUID: -3732968666673530290L

Serialized Fields

m_replaceMissing

weka.filters.unsupervised.attribute.ReplaceMissingValues m_replaceMissing

m_nominalToBinary

weka.filters.Filter m_nominalToBinary

m_normalize

weka.filters.unsupervised.attribute.Normalize m_normalize

m_lambda

double m_lambda

m_learningRate

double m_learningRate

m_weights

double[] m_weights

m_t

double m_t

m_numInstances

double m_numInstances

m_epochs

int m_epochs

m_dontNormalize

boolean m_dontNormalize

m_dontReplaceMissing

boolean m_dontReplaceMissing

m_data

weka.core.Instances m_data

m_loss

int m_loss

Class weka.classifiers.functions.SGDText extends weka.classifiers.RandomizableClassifier implements Serializable

serialVersionUID: 7200171484002029584L

Serialized Fields

m_periodicP

int m_periodicP

m_minWordP

double m_minWordP

m_wordFrequencies

boolean m_wordFrequencies

m_norm

double m_norm

m_lnorm

double m_lnorm

m_dictionary

LinkedHashMap<K,V> m_dictionary

m_stopwordsFile

File m_stopwordsFile

m_tokenizer

weka.core.tokenizers.Tokenizer m_tokenizer

m_lowercaseTokens

boolean m_lowercaseTokens

m_stemmer

weka.core.stemmers.Stemmer m_stemmer

m_useStopList

boolean m_useStopList

m_lambda

double m_lambda

m_learningRate

double m_learningRate

m_t

double m_t

m_bias

double m_bias

m_numInstances

double m_numInstances

m_data

weka.core.Instances m_data

m_epochs

int m_epochs

m_loss

int m_loss

Class weka.classifiers.functions.SimpleLinearRegression extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: 1679336022895414137L

Serialized Fields

m_attribute

weka.core.Attribute m_attribute

m_attributeIndex

int m_attributeIndex

m_slope

double m_slope

m_intercept

double m_intercept

m_suppressErrorMessage

boolean m_suppressErrorMessage

Class weka.classifiers.functions.SimpleLogistic extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: 7397710626304705059L

Serialized Fields

m_boostedModel

weka.classifiers.trees.lmt.LogisticBase m_boostedModel

m_NominalToBinary

weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary

m_ReplaceMissingValues

weka.filters.unsupervised.attribute.ReplaceMissingValues m_ReplaceMissingValues

m_numBoostingIterations

int m_numBoostingIterations

m_maxBoostingIterations

int m_maxBoostingIterations

m_heuristicStop

int m_heuristicStop

m_useCrossValidation

boolean m_useCrossValidation

m_errorOnProbabilities

boolean m_errorOnProbabilities

m_weightTrimBeta

double m_weightTrimBeta

m_useAIC

boolean m_useAIC

Class weka.classifiers.functions.SMO extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: -6585883636378691736L

Serialized Fields

m_classifiers

weka.classifiers.functions.SMO.BinarySMO[][] m_classifiers

m_C

double m_C

m_eps

double m_eps

m_tol

double m_tol

m_filterType

int m_filterType

m_NominalToBinary

weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary

m_Filter

weka.filters.Filter m_Filter

m_Missing

weka.filters.unsupervised.attribute.ReplaceMissingValues m_Missing

m_classIndex

int m_classIndex

m_classAttribute

weka.core.Attribute m_classAttribute

m_KernelIsLinear

boolean m_KernelIsLinear

m_checksTurnedOff

boolean m_checksTurnedOff

m_fitLogisticModels

boolean m_fitLogisticModels

m_numFolds

int m_numFolds

m_randomSeed

int m_randomSeed

m_kernel

weka.classifiers.functions.supportVector.Kernel m_kernel

Class weka.classifiers.functions.SMO.BinarySMO extends Object implements Serializable

serialVersionUID: -8246163625699362456L

Serialized Fields

m_alpha

double[] m_alpha

m_b

double m_b

m_bLow

double m_bLow

m_bUp

double m_bUp

m_iLow

int m_iLow

m_iUp

int m_iUp

m_data

weka.core.Instances m_data

m_weights

double[] m_weights

m_sparseWeights

double[] m_sparseWeights

m_sparseIndices

int[] m_sparseIndices

m_kernel

weka.classifiers.functions.supportVector.Kernel m_kernel

m_class

double[] m_class

m_errors

double[] m_errors

m_I0

weka.classifiers.functions.supportVector.SMOset m_I0

m_I1

weka.classifiers.functions.supportVector.SMOset m_I1

m_I2

weka.classifiers.functions.supportVector.SMOset m_I2

m_I3

weka.classifiers.functions.supportVector.SMOset m_I3

m_I4

weka.classifiers.functions.supportVector.SMOset m_I4

m_supportVectors

weka.classifiers.functions.supportVector.SMOset m_supportVectors

m_logistic

weka.classifiers.functions.Logistic m_logistic

m_sumOfWeights

double m_sumOfWeights

Class weka.classifiers.functions.SMOreg extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: -7149606251113102827L

Serialized Fields

m_filterType

int m_filterType

m_NominalToBinary

weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary

m_Filter

weka.filters.Filter m_Filter

m_Missing

weka.filters.unsupervised.attribute.ReplaceMissingValues m_Missing

m_onlyNumeric

boolean m_onlyNumeric

m_C

double m_C

m_x1

double m_x1

m_x0

double m_x0

m_optimizer

weka.classifiers.functions.supportVector.RegOptimizer m_optimizer

m_kernel

weka.classifiers.functions.supportVector.Kernel m_kernel

Class weka.classifiers.functions.VotedPerceptron extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: -1072429260104568698L

Serialized Fields

m_MaxK

int m_MaxK

m_NumIterations

int m_NumIterations

m_Exponent

double m_Exponent

m_K

int m_K

m_Additions

int[] m_Additions

m_IsAddition

boolean[] m_IsAddition

m_Weights

int[] m_Weights

m_Train

weka.core.Instances m_Train

m_Seed

int m_Seed

m_NominalToBinary

weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary

m_ReplaceMissingValues

weka.filters.unsupervised.attribute.ReplaceMissingValues m_ReplaceMissingValues

Package weka.filters.supervised.attribute

Class weka.filters.supervised.attribute.AddClassification extends weka.filters.SimpleBatchFilter implements Serializable

serialVersionUID: -1931467132568441909L

Serialized Fields

m_Classifier

weka.classifiers.Classifier m_Classifier

m_SerializedClassifierFile

File m_SerializedClassifierFile

m_ActualClassifier

weka.classifiers.Classifier m_ActualClassifier

m_SerializedHeader

weka.core.Instances m_SerializedHeader

m_OutputClassification

boolean m_OutputClassification

m_RemoveOldClass

boolean m_RemoveOldClass

m_OutputDistribution

boolean m_OutputDistribution

m_OutputErrorFlag

boolean m_OutputErrorFlag

Class weka.filters.supervised.attribute.AttributeSelection extends weka.filters.Filter implements Serializable

serialVersionUID: -296211247688169716L

Serialized Fields

m_trainSelector

weka.attributeSelection.AttributeSelection m_trainSelector

m_ASEvaluator

weka.attributeSelection.ASEvaluation m_ASEvaluator

m_ASSearch

weka.attributeSelection.ASSearch m_ASSearch

m_FilterOptions

String[] m_FilterOptions

m_SelectedAttributes

int[] m_SelectedAttributes

Class weka.filters.supervised.attribute.ClassOrder extends weka.filters.Filter implements Serializable

serialVersionUID: -2116226838887628411L

Serialized Fields

m_Seed

long m_Seed

m_Random

Random m_Random

m_Converter

int[] m_Converter

m_ClassAttribute

weka.core.Attribute m_ClassAttribute

m_ClassOrder

int m_ClassOrder

m_ClassCounts

double[] m_ClassCounts

Class weka.filters.supervised.attribute.Discretize extends weka.filters.Filter implements Serializable

serialVersionUID: -3141006402280129097L

Serialized Fields

m_DiscretizeCols

weka.core.Range m_DiscretizeCols

m_CutPoints

double[][] m_CutPoints

m_MakeBinary

boolean m_MakeBinary

m_UseBetterEncoding

boolean m_UseBetterEncoding

m_UseKononenko

boolean m_UseKononenko

Class weka.filters.supervised.attribute.NominalToBinary extends weka.filters.Filter implements Serializable

serialVersionUID: -5004607029857673950L

Serialized Fields

m_Indices

int[][] m_Indices

m_Numeric

boolean m_Numeric

m_TransformAll

boolean m_TransformAll

Class weka.filters.supervised.attribute.PLSFilter extends weka.filters.SimpleBatchFilter implements Serializable

serialVersionUID: -3335106965521265631L

Serialized Fields

m_NumComponents

int m_NumComponents

the maximum number of components to generate

m_Algorithm

int m_Algorithm

the type of algorithm

m_PLS1_RegVector

weka.core.matrix.Matrix m_PLS1_RegVector

the regression vector "r-hat" for PLS1

m_PLS1_P

weka.core.matrix.Matrix m_PLS1_P

the P matrix for PLS1

m_PLS1_W

weka.core.matrix.Matrix m_PLS1_W

the W matrix for PLS1

m_PLS1_b_hat

weka.core.matrix.Matrix m_PLS1_b_hat

the b-hat vector for PLS1

m_SIMPLS_W

weka.core.matrix.Matrix m_SIMPLS_W

the W matrix for SIMPLS

m_SIMPLS_B

weka.core.matrix.Matrix m_SIMPLS_B

the B matrix for SIMPLS (used for prediction)

m_PerformPrediction

boolean m_PerformPrediction

whether to include the prediction, i.e., modifying the class attribute

m_Missing

weka.filters.Filter m_Missing

for replacing missing values

m_ReplaceMissing

boolean m_ReplaceMissing

whether to replace missing values

m_Filter

weka.filters.Filter m_Filter

for centering the data

m_Preprocessing

int m_Preprocessing

the type of preprocessing

m_ClassMean

double m_ClassMean

the mean of the class

m_ClassStdDev

double m_ClassStdDev

the standard deviation of the class