Serialized Form


Package weka.classifiers.functions

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

serialVersionUID: -8620066949967678545L

Serialized Fields

m_NominalToBinary

NominalToBinary m_NominalToBinary

m_Filter

Filter m_Filter

m_filterType

int m_filterType

m_Missing

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

Kernel m_kernel

m_NumTrain

int m_NumTrain

m_avg_target

double m_avg_target

m_L

double[][] m_L

m_t

Matrix m_t

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

serialVersionUID: 3171710488325239199L

Serialized Fields

m_coefficients

double[] m_coefficients

m_missingFilter

ReplaceMissingValues m_missingFilter

m_nominalToBinaryFilter

NominalToBinary m_nominalToBinaryFilter

m_normalizeFilter

Normalize m_normalizeFilter

m_kernel

Kernel m_kernel

m_kernelMatrix

double[][] m_kernelMatrix

m_classMean

double m_classMean

m_numInstances

int m_numInstances

m_checksTurnedOff

boolean m_checksTurnedOff

m_ridge

double m_ridge

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

serialVersionUID: 4288954049987652970L

Serialized Fields

m_Residuals

double[] m_Residuals

m_weight

double[] m_weight

m_SSR

double m_SSR

m_scalefactor

double m_scalefactor

m_bestMedian

double m_bestMedian

m_currentRegression

LinearRegression m_currentRegression

m_bestRegression

LinearRegression m_bestRegression

m_ls

LinearRegression m_ls

m_Data

Instances m_Data

m_RLSData

Instances m_RLSData

m_SubSample

Instances m_SubSample

m_MissingFilter

ReplaceMissingValues m_MissingFilter

m_TransformFilter

NominalToBinary m_TransformFilter

m_SplitFilter

RemoveRange m_SplitFilter

m_samplesize

int m_samplesize

m_samples

int m_samples

m_israndom

boolean m_israndom

m_debug

boolean m_debug

m_random

java.util.Random m_random

m_randomseed

long m_randomseed

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

serialVersionUID: -3364580862046573747L

Serialized Fields

m_Coefficients

double[] m_Coefficients

m_SelectedAttributes

boolean[] m_SelectedAttributes

m_TransformedData

Instances m_TransformedData

m_MissingFilter

ReplaceMissingValues m_MissingFilter

m_TransformFilter

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

m_AttributeSelection

int m_AttributeSelection

m_EliminateColinearAttributes

boolean m_EliminateColinearAttributes

m_checksTurnedOff

boolean m_checksTurnedOff

m_Ridge

double m_Ridge

m_Minimal

boolean m_Minimal

m_ModelBuilt

boolean m_ModelBuilt

Class weka.classifiers.functions.Logistic extends 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

RemoveUseless m_AttFilter

m_NominalToBinary

NominalToBinary m_NominalToBinary

m_ReplaceMissingValues

ReplaceMissingValues m_ReplaceMissingValues

m_Debug

boolean m_Debug

m_LL

double m_LL

m_MaxIts

int m_MaxIts

m_useConjugateGradientDescent

boolean m_useConjugateGradientDescent

m_structure

Instances m_structure

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

serialVersionUID: -5990607817048210779L

Serialized Fields

m_ZeroR

Classifier m_ZeroR

m_useDefaultModel

boolean m_useDefaultModel

m_instances

Instances m_instances

m_currentInstance

Instance m_currentInstance

m_numeric

boolean m_numeric

m_attributeRanges

double[] m_attributeRanges

m_attributeBases

double[] m_attributeBases

m_outputs

MultilayerPerceptron.NeuralEnd[] m_outputs

m_inputs

MultilayerPerceptron.NeuralEnd[] m_inputs

m_neuralNodes

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

FastVector<E> m_selected

m_graphers

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

javax.swing.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

java.util.Random m_random

m_useNomToBin

boolean m_useNomToBin

m_nominalToBinaryFilter

NominalToBinary m_nominalToBinaryFilter

m_hiddenLayers

java.lang.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

SigmoidUnit m_sigmoidUnit

m_linearUnit

LinearUnit m_linearUnit

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

serialVersionUID: 7305185603191183338L

Serialized Fields

m_link

int m_link

m_input

boolean m_input

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

Serialized Fields

m_maxIterations

int m_maxIterations

m_weights

double[] m_weights

m_nominalToBinary

NominalToBinary m_nominalToBinary

m_replaceMissing

ReplaceMissingValues m_replaceMissing

m_train

Instances m_train

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

serialVersionUID: -3732968666673530290L

Serialized Fields

m_replaceMissing

ReplaceMissingValues m_replaceMissing

m_nominalToBinary

Filter m_nominalToBinary

m_normalize

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

Instances m_data

m_loss

int m_loss

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

serialVersionUID: 7200171484002029584L

Serialized Fields

m_periodicP

int m_periodicP

m_minWordP

double m_minWordP

m_wordFrequencies

boolean m_wordFrequencies

m_normalize

boolean m_normalize

m_norm

double m_norm

m_lnorm

double m_lnorm

m_dictionary

java.util.LinkedHashMap<K,V> m_dictionary

m_stopwordsFile

java.io.File m_stopwordsFile

m_tokenizer

Tokenizer m_tokenizer

m_lowercaseTokens

boolean m_lowercaseTokens

m_stemmer

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

Instances m_data

m_epochs

int m_epochs

m_loss

int m_loss

m_svmProbs

SGD m_svmProbs

m_fitLogistic

boolean m_fitLogistic

m_fitLogisticStructure

Instances m_fitLogisticStructure

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

serialVersionUID: 1679336022895414137L

Serialized Fields

m_attribute

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 AbstractClassifier implements Serializable

serialVersionUID: 7397710626304705059L

Serialized Fields

m_boostedModel

LogisticBase m_boostedModel

m_NominalToBinary

NominalToBinary m_NominalToBinary

m_ReplaceMissingValues

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 AbstractClassifier implements Serializable

serialVersionUID: -6585883636378691736L

Serialized Fields

m_classifiers

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

NominalToBinary m_NominalToBinary

m_Filter

Filter m_Filter

m_Missing

ReplaceMissingValues m_Missing

m_classIndex

int m_classIndex

m_classAttribute

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

Kernel m_kernel

Class weka.classifiers.functions.SMO.BinarySMO extends java.lang.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

Instances m_data

m_weights

double[] m_weights

m_sparseWeights

double[] m_sparseWeights

m_sparseIndices

int[] m_sparseIndices

m_kernel

Kernel m_kernel

m_class

double[] m_class

m_errors

double[] m_errors

m_I0

SMOset m_I0

m_I1

SMOset m_I1

m_I2

SMOset m_I2

m_I3

SMOset m_I3

m_I4

SMOset m_I4

m_supportVectors

SMOset m_supportVectors

m_logistic

Logistic m_logistic

m_sumOfWeights

double m_sumOfWeights

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

serialVersionUID: -7149606251113102827L

Serialized Fields

m_filterType

int m_filterType

m_NominalToBinary

NominalToBinary m_NominalToBinary

m_Filter

Filter m_Filter

m_Missing

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

RegOptimizer m_optimizer

m_kernel

Kernel m_kernel

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

serialVersionUID: -3732968666673530290L

Serialized Fields

m_replaceMissing

ReplaceMissingValues m_replaceMissing

m_nominalToBinary

NominalToBinary m_nominalToBinary

m_normalize

Normalize m_normalize

m_lambda

double m_lambda

m_weights

double[] m_weights

m_bias

double m_bias

m_wScale

double m_wScale

m_t

double m_t

m_epochs

int m_epochs

m_data

Instances m_data

Class weka.classifiers.functions.VotedPerceptron extends 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

Instances m_Train

m_Seed

int m_Seed

m_NominalToBinary

NominalToBinary m_NominalToBinary

m_ReplaceMissingValues

ReplaceMissingValues m_ReplaceMissingValues