# Serialized Form

- ## Package weka.classifiers.functions

  - ### Class weka.classifiers.functions.BoundaryAndCentroidClassifier

    class BoundaryAndCentroidClassifier extends SingleClassifierEnhancerBoundary implements Serializable
    serialVersionUID:
      -4804125977465095197L

    - #### Serialized Fields

      - ##### classesOnly

            boolean classesOnly

      - ##### classFreqs

            double[] classFreqs

      - ##### classProtos

            weka.classifiers.functions.nearestCentroid.IClusterPrototype[] classProtos

      - ##### defaultModel

            weka.classifiers.rules.ZeroR defaultModel

      - ##### eps

            double eps

      - ##### normalize

            boolean normalize

      - ##### potFunction

            PotentialFunction potFunction

      - ##### proportion

            double proportion

        Proportion between Centroid potential and plane potential

      - ##### proto2Bnd

            double[] proto2Bnd

      - ##### protoPlaneSide

            double[] protoPlaneSide

      - ##### prototypeProto

            weka.classifiers.functions.nearestCentroid.IClusterPrototype prototypeProto

      - ##### stdDevs

            double[] stdDevs

      - ##### usePriors

            boolean usePriors

  - ### Class weka.classifiers.functions.BoundaryAndCentroidClassifier2

    class BoundaryAndCentroidClassifier2 extends SingleClassifierEnhancerBoundary implements Serializable
    serialVersionUID:
      -4804125977465095197L

    - #### Serialized Fields

      - ##### boundaryMultipliers

            double[] boundaryMultipliers

      - ##### classCentroidsMultipliers

            double[] classCentroidsMultipliers

      - ##### classesOnly

            boolean classesOnly

      - ##### classFreqs

            double[] classFreqs

      - ##### classProtos

            weka.classifiers.functions.nearestCentroid.IClusterPrototype[] classProtos

      - ##### defaultModel

            weka.classifiers.rules.ZeroR defaultModel

      - ##### eps

            double eps

      - ##### maxSearch

            double maxSearch

      - ##### minSearch

            double minSearch

      - ##### normalize

            boolean normalize

      - ##### numIterations

            int numIterations

      - ##### potFunction

            PotentialFunction potFunction

      - ##### proportion

            double proportion

        Proportion between Centroid potential and plane potential

      - ##### proto2Bnd

            double[] proto2Bnd

      - ##### protoPlaneSide

            double[] protoPlaneSide

      - ##### prototypeProto

            weka.classifiers.functions.nearestCentroid.IClusterPrototype prototypeProto

      - ##### quant

            double quant

      - ##### quantPotentialValue

            double quantPotentialValue

      - ##### stdDevs

            double[] stdDevs

      - ##### usePriors

            boolean usePriors

  - ### Class weka.classifiers.functions.BoundaryAndCentroidsClassifier

    class BoundaryAndCentroidsClassifier extends SingleClassifierEnhancerBoundary implements Serializable
    serialVersionUID:
      -4804125977465095197L

    - #### Serialized Fields

      - ##### boundaryPotentialArgumentMultipliers

            double[] boundaryPotentialArgumentMultipliers

      - ##### classesOnly

            boolean classesOnly

      - ##### classFreqs

            double[] classFreqs

      - ##### classProtos

            weka.classifiers.functions.nearestCentroid.IClusterPrototype[][] classProtos

      - ##### classSpecClusterer

            weka.clusterers.ClassSpecificClusterer classSpecClusterer

      - ##### clusterCombiner

            weka.tools.arrayFunctions.MultivariateFunction clusterCombiner

      - ##### clusterPotentialArgumentMultipliers

            double[][] clusterPotentialArgumentMultipliers

      - ##### dataSplitter

            weka.tools.data.splitters.DataSplitter dataSplitter

      - ##### defaultModel

            weka.classifiers.rules.ZeroR defaultModel

      - ##### eps

            double eps

      - ##### maxSearch

            double maxSearch

      - ##### minSearch

            double minSearch

      - ##### nBisectIterations

            int nBisectIterations

      - ##### potFunction

            PotentialFunction potFunction

      - ##### proportion

            double proportion

        Proportion between plane potential and cluster potential

      - ##### prototypeProto

            weka.classifiers.functions.nearestCentroid.IClusterPrototype prototypeProto

      - ##### quantile

            double quantile

      - ##### quantilePotentialVal

            double quantilePotentialVal

      - ##### usePriors

            boolean usePriors

  - ### Class weka.classifiers.functions.BoundaryAndCentroidsClassifierMulticlass

    class BoundaryAndCentroidsClassifierMulticlass extends weka.classifiers.SingleClassifierEnhancer implements Serializable
    serialVersionUID:
      8010565844371661224L

    - #### Serialized Fields

      - ##### classesOnly

            boolean classesOnly

      - ##### classFreqs

            double[] classFreqs

      - ##### classProtos

            weka.classifiers.functions.nearestCentroid.IClusterPrototype[][] classProtos

      - ##### classSpecClusterer

            weka.clusterers.ClassSpecificClusterer classSpecClusterer

      - ##### clusterCombiner

            weka.tools.arrayFunctions.MultivariateFunction clusterCombiner

      - ##### clusterPotentialArgumentMultipliers

            double[][] clusterPotentialArgumentMultipliers

      - ##### dataSplitter

            weka.tools.data.splitters.DataSplitter dataSplitter

      - ##### defaultModel

            weka.classifiers.rules.ZeroR defaultModel

      - ##### eps

            double eps

      - ##### maxSearch

            double maxSearch

      - ##### minSearch

            double minSearch

      - ##### nBisectIterations

            int nBisectIterations

      - ##### potFunction

            PotentialFunction potFunction

      - ##### proportion

            double proportion

        Proportion between plane potential and cluster potential

      - ##### prototypeProto

            weka.classifiers.functions.nearestCentroid.IClusterPrototype prototypeProto

      - ##### quantile

            double quantile

      - ##### quantilePotentialVal

            double quantilePotentialVal

      - ##### usePriors

            boolean usePriors

      - ##### useSoftMax

            boolean useSoftMax

  - ### Class weka.classifiers.functions.BoundaryBasedClassifier

    class BoundaryBasedClassifier extends SingleClassifierEnhancerBoundary implements Serializable
    serialVersionUID:
      -2999118309114988803L

    - #### Serialized Fields

      - ##### calibrator

            weka.classifiers.Classifier calibrator

        Calibrator for calculating soft outputs using given boundaries;

      - ##### calibratorLearned

            boolean calibratorLearned

      - ##### dataHeader

            weka.core.Instances dataHeader

      - ##### numFolds

            int numFolds

        The number of folds for fitting the calibrator

      - ##### seed

            int seed

      - ##### tmpClassifier

            ClassifierWithBoundaries tmpClassifier

      - ##### useCalibrator

            boolean useCalibrator

  - ### Class weka.classifiers.functions.BoundaryKernelClassifier

    class BoundaryKernelClassifier extends SingleClassifierEnhancerBoundary implements Serializable
    serialVersionUID:
      8651181854725711338L

    - #### Serialized Fields

      - ##### estimProto

            weka.estimators.density.DensityEstimator estimProto

      - ##### estims

            weka.estimators.density.DensityEstimator[] estims

      - ##### normalize

            boolean normalize

      - ##### numClasses

            int numClasses

      - ##### numInsancesPerClass

            int[] numInsancesPerClass

      - ##### numInstances

            int numInstances

      - ##### preNormalize

            boolean preNormalize

      - ##### usePriorProbs

            boolean usePriorProbs

  - ### Class weka.classifiers.functions.BoundaryKernelClassifierWithPlaneProjections

    class BoundaryKernelClassifierWithPlaneProjections extends BoundaryKernelClassifierWithPlaneProjectionsAbstract implements Serializable
    serialVersionUID:
      -3083361719248513679L

    - #### Serialized Fields

      - ##### planeProjectionsEstimators

            weka.estimators.MultivariateEstimatorFromInstances[] planeProjectionsEstimators

  - ### Class weka.classifiers.functions.BoundaryKernelClassifierWithPlaneProjectionsAbstract

    class BoundaryKernelClassifierWithPlaneProjectionsAbstract extends BoundaryKernelClassifier implements Serializable
    serialVersionUID:
      60215392183312537L

    - #### Serialized Fields

      - ##### planeProjectionEstimatorProto

            weka.estimators.MultivariateEstimatorFromInstances planeProjectionEstimatorProto

  - ### Class weka.classifiers.functions.BoundaryKernelClassifierWithPlaneProjectionsGauss

    class BoundaryKernelClassifierWithPlaneProjectionsGauss extends BoundaryKernelClassifier implements Serializable
    serialVersionUID:
      -1755806147645660368L

    - #### Serialized Fields

      - ##### mestimator

            weka.classifiers.functions.BoundaryKernelClassifierWithPlaneProjectionsGauss.MyMvarEstim mestimator

  - ### Class weka.classifiers.functions.BoundaryKernelClassifierWithPlaneProjectionsNB

    class BoundaryKernelClassifierWithPlaneProjectionsNB extends BoundaryKernelClassifier implements Serializable
    serialVersionUID:
      1867667124720100644L

    - #### Serialized Fields

      - ##### planeProjection

            weka.classifiers.Classifier planeProjection

      - ##### planeProjectionProto

            weka.classifiers.Classifier planeProjectionProto

  - ### Class weka.classifiers.functions.BoundaryKernelClassifierWithPlaneProjectionsNB2

    class BoundaryKernelClassifierWithPlaneProjectionsNB2 extends BoundaryKernelClassifier implements Serializable
    serialVersionUID:
      7099889515910604001L

    - #### Serialized Fields

      - ##### nbEstim

            weka.classifiers.functions.BoundaryKernelClassifierWithPlaneProjectionsNB2.ChangedNB nbEstim

        Naive Bayes estimator used

      - ##### useKernel

            boolean useKernel

  - ### Class weka.classifiers.functions.BoundaryPotentialClassifier

    class BoundaryPotentialClassifier extends SingleClassifierEnhancerBoundary implements Serializable
    serialVersionUID:
      -2474381389913442147L

    - #### Serialized Fields

      - ##### normalizeOutput

            boolean normalizeOutput

      - ##### potential

            PotentialFunction potential

  - ### Class weka.classifiers.functions.FLDA

    class FLDA extends weka.classifiers.AbstractClassifier implements Serializable
    serialVersionUID:
      -9212385698193681291L

    - #### Serialized Fields

      - ##### m_Data

            weka.core.Instances m_Data

      - ##### m_RemoveUseless

            weka.filters.unsupervised.attribute.RemoveUseless m_RemoveUseless

      - ##### m_Ridge

            double m_Ridge

      - ##### m_Threshold

            double m_Threshold

      - ##### m_Weights

            no.uib.cipr.matrix.Vector m_Weights

  - ### Class weka.classifiers.functions.GaussianProcesses

    class GaussianProcesses extends weka.classifiers.RandomizableClassifier implements Serializable
    serialVersionUID:
      -8620066949967678545L

    - #### Serialized Fields

      - ##### m_actualKernel

            weka.classifiers.functions.supportVector.Kernel m_actualKernel

      - ##### m_Alin

            double m_Alin

      - ##### m_avg_target

            double m_avg_target

      - ##### m_Blin

            double m_Blin

      - ##### m_checksTurnedOff

            boolean m_checksTurnedOff

      - ##### m_delta

            double m_delta

      - ##### m_deltaSquared

            double m_deltaSquared

      - ##### m_Filter

            weka.filters.Filter m_Filter

      - ##### m_filterType

            int m_filterType

      - ##### m_kernel

            weka.classifiers.functions.supportVector.Kernel m_kernel

      - ##### m_L

            no.uib.cipr.matrix.Matrix m_L

      - ##### m_Missing

            weka.filters.unsupervised.attribute.ReplaceMissingValues m_Missing

      - ##### m_NominalToBinary

            weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary

      - ##### m_NumTrain

            int m_NumTrain

      - ##### m_t

            no.uib.cipr.matrix.Vector m_t

      - ##### m_weights

            double[] m_weights

  - ### Class weka.classifiers.functions.LDA

    class LDA extends weka.classifiers.AbstractClassifier implements Serializable
    serialVersionUID:
      -8213283598193689271L

    - #### Serialized Fields

      - ##### m_Data

            weka.core.Instances m_Data

      - ##### m_Estimator

            weka.estimators.MultivariateGaussianEstimator m_Estimator

      - ##### m_GlobalMean

            double[] m_GlobalMean

      - ##### m_LogPriors

            double[] m_LogPriors

      - ##### m_Means

            double[][] m_Means

      - ##### m_RemoveUseless

            weka.filters.unsupervised.attribute.RemoveUseless m_RemoveUseless

      - ##### m_Ridge

            double m_Ridge

  - ### Class weka.classifiers.functions.LibSVM

    class LibSVM extends weka.classifiers.RandomizableClassifier implements Serializable
    serialVersionUID:
      14172L

    - #### Serialized Fields

      - ##### m_CacheSize

            double m_CacheSize

      - ##### m_Coef0

            double m_Coef0

      - ##### m_Cost

            double m_Cost

      - ##### m_Degree

            int m_Degree

      - ##### m_eps

            double m_eps

      - ##### m_Filter

            weka.filters.Filter m_Filter

      - ##### m_Gamma

            double m_Gamma

      - ##### m_GammaActual

            double m_GammaActual

      - ##### m_KernelType

            int m_KernelType

      - ##### m_Loss

            double m_Loss

      - ##### m_Model

            libsvm.svm_model m_Model

      - ##### m_ModelFile

            File m_ModelFile

      - ##### m_NominalToBinary

            weka.filters.Filter m_NominalToBinary

      - ##### m_noReplaceMissingValues

            boolean m_noReplaceMissingValues

      - ##### m_Normalize

            boolean m_Normalize

      - ##### m_nu

            double m_nu

      - ##### m_ProbabilityEstimates

            boolean m_ProbabilityEstimates

      - ##### m_ReplaceMissingValues

            weka.filters.unsupervised.attribute.ReplaceMissingValues m_ReplaceMissingValues

      - ##### m_Shrinking

            boolean m_Shrinking

      - ##### m_SVMType

            int m_SVMType

      - ##### m_Weight

            double[] m_Weight

      - ##### m_WeightLabel

            int[] m_WeightLabel

      - ##### m_x0

            double m_x0

      - ##### m_x1

            double m_x1

  - ### Class weka.classifiers.functions.LinearRegression

    class LinearRegression extends weka.classifiers.AbstractClassifier implements Serializable
    serialVersionUID:
      -3364580862046573747L

    - #### Serialized Fields

      - ##### m_AttributeSelection

            int m_AttributeSelection

      - ##### m_checksTurnedOff

            boolean m_checksTurnedOff

      - ##### m_ClassIndex

            int m_ClassIndex

      - ##### m_ClassMean

            double m_ClassMean

      - ##### m_ClassStdDev

            double m_ClassStdDev

      - ##### m_Coefficients

            double[] m_Coefficients

      - ##### m_df

            int m_df

      - ##### m_EliminateColinearAttributes

            boolean m_EliminateColinearAttributes

      - ##### m_FStat

            double m_FStat

      - ##### m_isZeroR

            boolean m_isZeroR

      - ##### m_Means

            double[] m_Means

      - ##### m_Minimal

            boolean m_Minimal

      - ##### m_MissingFilter

            weka.filters.unsupervised.attribute.ReplaceMissingValues m_MissingFilter

      - ##### m_ModelBuilt

            boolean m_ModelBuilt

      - ##### m_outputAdditionalStats

            boolean m_outputAdditionalStats

      - ##### m_Ridge

            double m_Ridge

      - ##### m_RSquared

            double m_RSquared

      - ##### m_RSquaredAdj

            double m_RSquaredAdj

      - ##### m_SelectedAttributes

            boolean[] m_SelectedAttributes

      - ##### m_StdDevs

            double[] m_StdDevs

      - ##### m_StdErrorOfCoef

            double[] m_StdErrorOfCoef

      - ##### m_TransformedData

            weka.core.Instances m_TransformedData

      - ##### m_TransformFilter

            weka.filters.supervised.attribute.NominalToBinary m_TransformFilter

      - ##### m_TStats

            double[] m_TStats

      - ##### m_useQRDecomposition

            boolean m_useQRDecomposition

  - ### Class weka.classifiers.functions.Logistic

    class Logistic extends weka.classifiers.AbstractClassifier implements Serializable
    serialVersionUID:
      3932117032546553727L

    - #### Serialized Fields

      - ##### m_AttFilter

            weka.filters.unsupervised.attribute.RemoveUseless m_AttFilter

      - ##### m_ClassIndex

            int m_ClassIndex

      - ##### m_Data

            double[][] m_Data

      - ##### m_doNotStandardizeAttributes

            boolean m_doNotStandardizeAttributes

      - ##### m_LL

            double m_LL

      - ##### m_MaxIts

            int m_MaxIts

      - ##### m_NominalToBinary

            weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary

      - ##### m_NumClasses

            int m_NumClasses

      - ##### m_numModels

            int m_numModels

      - ##### m_NumPredictors

            int m_NumPredictors

      - ##### m_Par

            double[][] m_Par

      - ##### m_ReplaceMissingValues

            weka.filters.unsupervised.attribute.ReplaceMissingValues m_ReplaceMissingValues

      - ##### m_Ridge

            double m_Ridge

      - ##### m_structure

            weka.core.Instances m_structure

      - ##### m_useConjugateGradientDescent

            boolean m_useConjugateGradientDescent

  - ### Class weka.classifiers.functions.MultilayerPerceptron

    class MultilayerPerceptron extends weka.classifiers.AbstractClassifier implements Serializable
    serialVersionUID:
      -5990607817048210779L

    - #### Serialized Fields

      - ##### bestError

            double bestError

      - ##### driftOff

            double driftOff

      - ##### lastRight

            double lastRight

      - ##### m_accepted

            boolean m_accepted

      - ##### m_attributeBases

            double[] m_attributeBases

      - ##### m_attributeRanges

            double[] m_attributeRanges

      - ##### m_autoBuild

            boolean m_autoBuild

      - ##### m_currentInstance

            weka.core.Instance m_currentInstance

      - ##### m_decay

            boolean m_decay

      - ##### m_driftThreshold

            int m_driftThreshold

      - ##### m_epoch

            int m_epoch

      - ##### m_error

            double m_error

      - ##### m_gui

            boolean m_gui

      - ##### m_hiddenLayers

            String m_hiddenLayers

      - ##### m_inputs

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

      - ##### m_instances

            weka.core.Instances m_instances

      - ##### m_learningRate

            double m_learningRate

      - ##### m_linearUnit

            weka.classifiers.functions.neural.LinearUnit m_linearUnit

      - ##### m_momentum

            double m_momentum

      - ##### m_neuralNodes

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

      - ##### m_nextId

            int m_nextId

      - ##### m_nominalToBinaryFilter

            weka.filters.unsupervised.attribute.NominalToBinary m_nominalToBinaryFilter

      - ##### m_normalizeAttributes

            boolean m_normalizeAttributes

      - ##### m_normalizeClass

            boolean m_normalizeClass

      - ##### m_numAttributes

            int m_numAttributes

      - ##### m_numClasses

            int m_numClasses

      - ##### m_numEpochs

            int m_numEpochs

      - ##### m_numeric

            boolean m_numeric

      - ##### m_numItsPerformed

            int m_numItsPerformed

      - ##### m_outputs

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

      - ##### m_random

            Random m_random

      - ##### m_randomSeed

            int m_randomSeed

      - ##### m_reset

            boolean m_reset

      - ##### m_resume

            boolean m_resume

      - ##### m_selected

            ArrayList<weka.classifiers.functions.neural.NeuralConnection> m_selected

      - ##### m_sigmoidUnit

            weka.classifiers.functions.neural.SigmoidUnit m_sigmoidUnit

      - ##### m_stopIt

            boolean m_stopIt

      - ##### m_stopped

            boolean m_stopped

      - ##### m_useDefaultModel

            boolean m_useDefaultModel

      - ##### m_useNomToBin

            boolean m_useNomToBin

      - ##### m_valSize

            int m_valSize

      - ##### m_ZeroR

            weka.classifiers.Classifier m_ZeroR

      - ##### numInVal

            int numInVal

      - ##### originalFormatData

            weka.core.Instances originalFormatData

      - ##### totalValWeight

            double totalValWeight

      - ##### totalWeight

            double totalWeight

      - ##### valSet

            weka.core.Instances valSet

  - ### Class weka.classifiers.functions.MultilayerPerceptron.NeuralEnd

    class NeuralEnd extends weka.classifiers.functions.neural.NeuralConnection implements Serializable
    serialVersionUID:
      7305185603191183338L

    - #### Serialized Fields

      - ##### m_input

            boolean m_input

      - ##### m_link

            int m_link

  - ### Class weka.classifiers.functions.NearestCentroidClassifier

    class NearestCentroidClassifier extends weka.classifiers.AbstractClassifier implements Serializable
    serialVersionUID:
      8462836067571523903L

    - #### Serialized Fields

      - ##### clusProto

            weka.classifiers.functions.nearestCentroid.IClusterPrototype clusProto

      - ##### defaultModel

            weka.classifiers.rules.ZeroR defaultModel

      - ##### isPrototypeActive

            boolean[] isPrototypeActive

      - ##### prototypes

            weka.classifiers.functions.nearestCentroid.IClusterPrototype[] prototypes

  - ### Class weka.classifiers.functions.QDA

    class QDA extends weka.classifiers.AbstractClassifier implements Serializable
    serialVersionUID:
      -9113383498193689291L

    - #### Serialized Fields

      - ##### m_Data

            weka.core.Instances m_Data

      - ##### m_Estimators

            weka.estimators.MultivariateGaussianEstimator[] m_Estimators

      - ##### m_LogPriors

            double[] m_LogPriors

      - ##### m_RemoveUseless

            weka.filters.unsupervised.attribute.RemoveUseless m_RemoveUseless

      - ##### m_Ridge

            double m_Ridge

  - ### Class weka.classifiers.functions.SGD

    class SGD extends weka.classifiers.RandomizableClassifier implements Serializable
    serialVersionUID:
      -3732968666673530290L

    - #### Serialized Fields

      - ##### m_data

            weka.core.Instances m_data

      - ##### m_dontNormalize

            boolean m_dontNormalize

      - ##### m_dontReplaceMissing

            boolean m_dontReplaceMissing

      - ##### m_epochs

            int m_epochs

      - ##### m_epsilon

            double m_epsilon

      - ##### m_lambda

            double m_lambda

      - ##### m_learningRate

            double m_learningRate

      - ##### m_loss

            int m_loss

      - ##### m_nominalToBinary

            weka.filters.Filter m_nominalToBinary

      - ##### m_normalize

            weka.filters.unsupervised.attribute.Normalize m_normalize

      - ##### m_numInstances

            double m_numInstances

      - ##### m_numModels

            int m_numModels

      - ##### m_replaceMissing

            weka.filters.unsupervised.attribute.ReplaceMissingValues m_replaceMissing

      - ##### m_t

            double m_t

      - ##### m_weights

            double[] m_weights

  - ### Class weka.classifiers.functions.SGDText

    class SGDText extends weka.classifiers.RandomizableClassifier implements Serializable
    serialVersionUID:
      7200171484002029584L

    - #### Serialized Fields

      - ##### m_bias

            double m_bias

      - ##### m_data

            weka.core.Instances m_data

      - ##### m_dictionary

            LinkedHashMap<String,weka.classifiers.functions.SGDText.Count> m_dictionary

      - ##### m_epochs

            int m_epochs

      - ##### m_fitLogistic

            boolean m_fitLogistic

      - ##### m_fitLogisticStructure

            weka.core.Instances m_fitLogisticStructure

      - ##### m_lambda

            double m_lambda

      - ##### m_learningRate

            double m_learningRate

      - ##### m_lnorm

            double m_lnorm

      - ##### m_loss

            int m_loss

      - ##### m_lowercaseTokens

            boolean m_lowercaseTokens

      - ##### m_minAbsCoefficient

            double m_minAbsCoefficient

      - ##### m_minWordP

            double m_minWordP

      - ##### m_norm

            double m_norm

      - ##### m_normalize

            boolean m_normalize

      - ##### m_numInstances

            double m_numInstances

      - ##### m_numModels

            int m_numModels

      - ##### m_periodicP

            int m_periodicP

      - ##### m_stemmer

            weka.core.stemmers.Stemmer m_stemmer

      - ##### m_StopwordsHandler

            weka.core.stopwords.StopwordsHandler m_StopwordsHandler

      - ##### m_svmProbs

            weka.classifiers.functions.SGD m_svmProbs

      - ##### m_t

            double m_t

      - ##### m_tokenizer

            weka.core.tokenizers.Tokenizer m_tokenizer

      - ##### m_wordFrequencies

            boolean m_wordFrequencies

  - ### Class weka.classifiers.functions.SGDText.Count

    class Count extends Object implements Serializable
    serialVersionUID:
      2104201532017340967L

    - #### Serialized Fields

      - ##### m_count

            double m_count

      - ##### m_weight

            double m_weight

  - ### Class weka.classifiers.functions.SimpleLinearRegression

    class SimpleLinearRegression extends weka.classifiers.AbstractClassifier implements Serializable
    serialVersionUID:
      1679336022895414137L

    - #### Serialized Fields

      - ##### m_attribute

            weka.core.Attribute m_attribute

      - ##### m_attributeIndex

            int m_attributeIndex

      - ##### m_classMeanForMissing

            double m_classMeanForMissing

      - ##### m_df

            int m_df

      - ##### m_fstat

            double m_fstat

      - ##### m_intercept

            double m_intercept

      - ##### m_outputAdditionalStats

            boolean m_outputAdditionalStats

      - ##### m_rsquared

            double m_rsquared

      - ##### m_rsquaredAdj

            double m_rsquaredAdj

      - ##### m_seIntercept

            double m_seIntercept

      - ##### m_seSlope

            double m_seSlope

      - ##### m_slope

            double m_slope

      - ##### m_suppressErrorMessage

            boolean m_suppressErrorMessage

      - ##### m_tstatIntercept

            double m_tstatIntercept

      - ##### m_tstatSlope

            double m_tstatSlope

  - ### Class weka.classifiers.functions.SimpleLogistic

    class SimpleLogistic extends weka.classifiers.AbstractClassifier implements Serializable
    serialVersionUID:
      7397710626304705059L

    - #### Serialized Fields

      - ##### m_boostedModel

            weka.classifiers.trees.lmt.LogisticBase m_boostedModel

      - ##### m_errorOnProbabilities

            boolean m_errorOnProbabilities

      - ##### m_heuristicStop

            int m_heuristicStop

      - ##### m_maxBoostingIterations

            int m_maxBoostingIterations

      - ##### m_NominalToBinary

            weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary

      - ##### m_numBoostingIterations

            int m_numBoostingIterations

      - ##### m_ReplaceMissingValues

            weka.filters.unsupervised.attribute.ReplaceMissingValues m_ReplaceMissingValues

      - ##### m_useAIC

            boolean m_useAIC

      - ##### m_useCrossValidation

            boolean m_useCrossValidation

      - ##### m_weightTrimBeta

            double m_weightTrimBeta

  - ### Class weka.classifiers.functions.SingleClassifierEnhancerBoundary

    class SingleClassifierEnhancerBoundary extends weka.classifiers.SingleClassifierEnhancer implements Serializable
    serialVersionUID:
      -4038874210938229962L

    - #### Serialized Fields

      - ##### boundClassRef

            ClassifierWithBoundaries boundClassRef

        Reference stores the same classifier as m_Classifier

  - ### Class weka.classifiers.functions.SMO

    class SMO extends weka.classifiers.AbstractClassifier implements Serializable
    serialVersionUID:
      -6585883636378691736L

    - #### Serialized Fields

      - ##### m_C

            double m_C

      - ##### m_calibrator

            weka.classifiers.Classifier m_calibrator

      - ##### m_checksTurnedOff

            boolean m_checksTurnedOff

      - ##### m_classAttribute

            weka.core.Attribute m_classAttribute

      - ##### m_classifiers

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

      - ##### m_classIndex

            int m_classIndex

      - ##### m_eps

            double m_eps

      - ##### m_Filter

            weka.filters.Filter m_Filter

      - ##### m_filterType

            int m_filterType

      - ##### m_fitCalibratorModels

            boolean m_fitCalibratorModels

      - ##### m_kernel

            weka.classifiers.functions.supportVector.Kernel m_kernel

      - ##### m_KernelIsLinear

            boolean m_KernelIsLinear

      - ##### m_Missing

            weka.filters.unsupervised.attribute.ReplaceMissingValues m_Missing

      - ##### m_NominalToBinary

            weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary

      - ##### m_numFolds

            int m_numFolds

      - ##### m_randomSeed

            int m_randomSeed

      - ##### m_tol

            double m_tol

  - ### Class weka.classifiers.functions.SMO.BinarySMO

    class 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_calibrationDataHeader

            weka.core.Instances m_calibrationDataHeader

      - ##### m_calibrator

            weka.classifiers.Classifier m_calibrator

      - ##### m_class

            double[] m_class

      - ##### m_data

            weka.core.Instances m_data

      - ##### 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_iLow

            int m_iLow

      - ##### m_iUp

            int m_iUp

      - ##### m_kernel

            weka.classifiers.functions.supportVector.Kernel m_kernel

      - ##### m_nCacheHits

            int m_nCacheHits

      - ##### m_nEvals

            long m_nEvals

      - ##### m_sparseIndices

            int[] m_sparseIndices

      - ##### m_sparseWeights

            double[] m_sparseWeights

      - ##### m_sumOfWeights

            double m_sumOfWeights

      - ##### m_supportVectors

            weka.classifiers.functions.supportVector.SMOset m_supportVectors

      - ##### m_weights

            double[] m_weights

  - ### Class weka.classifiers.functions.SMOreg

    class SMOreg extends weka.classifiers.AbstractClassifier implements Serializable
    serialVersionUID:
      -7149606251113102827L

    - #### Serialized Fields

      - ##### m_C

            double m_C

      - ##### m_Filter

            weka.filters.Filter m_Filter

      - ##### m_filterType

            int m_filterType

      - ##### m_kernel

            weka.classifiers.functions.supportVector.Kernel m_kernel

      - ##### m_Missing

            weka.filters.unsupervised.attribute.ReplaceMissingValues m_Missing

      - ##### m_NominalToBinary

            weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary

      - ##### m_onlyNumeric

            boolean m_onlyNumeric

      - ##### m_optimizer

            weka.classifiers.functions.supportVector.RegOptimizer m_optimizer

      - ##### m_x0

            double m_x0

      - ##### m_x1

            double m_x1

  - ### Class weka.classifiers.functions.VotedPerceptron

    class VotedPerceptron extends weka.classifiers.AbstractClassifier implements Serializable
    serialVersionUID:
      -1072429260104568698L

    - #### Serialized Fields

      - ##### m_Additions

            int[] m_Additions

      - ##### m_Exponent

            double m_Exponent

      - ##### m_IsAddition

            boolean[] m_IsAddition

      - ##### m_K

            int m_K

      - ##### m_MaxK

            int m_MaxK

      - ##### m_NominalToBinary

            weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary

      - ##### m_NumIterations

            int m_NumIterations

      - ##### m_ReplaceMissingValues

            weka.filters.unsupervised.attribute.ReplaceMissingValues m_ReplaceMissingValues

      - ##### m_Seed

            int m_Seed

      - ##### m_Train

            weka.core.Instances m_Train

      - ##### m_Weights

            int[] m_Weights

- ## Package weka.classifiers.functions.explicitboundaries

  - ### Class weka.classifiers.functions.explicitboundaries.DecisionBoundaries

    class DecisionBoundaries extends Object implements Serializable
    serialVersionUID:
      4967310316434866060L

    - #### Serialized Fields

      - ##### boundaries

            List<DecisionBoundary> boundaries

  - ### Class weka.classifiers.functions.explicitboundaries.DecisionBoundariesExtractor

    class DecisionBoundariesExtractor extends Object implements Serializable
    serialVersionUID:
      -6809264307667740321L

  - ### Class weka.classifiers.functions.explicitboundaries.DecisionBoundary

    class DecisionBoundary extends Object implements Serializable
    serialVersionUID:
      -2027243933463044232L

    - #### Serialized Fields

      - ##### class1Idx

            int class1Idx

      - ##### class2Idx

            int class2Idx

      - ##### datasetHeader

            weka.core.Instances datasetHeader

  - ### Class weka.classifiers.functions.explicitboundaries.DecisionBoundaryPlane

    class DecisionBoundaryPlane extends DecisionBoundary implements Serializable
    serialVersionUID:
      3454683549175862055L

    - #### Serialized Fields

      - ##### debug

            boolean debug

      - ##### decisionPlane

            Plane decisionPlane

      - ##### normFactor

            double normFactor

- ## Package weka.classifiers.functions.explicitboundaries.combiners

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.APotentialFunctionSingleParam

    class APotentialFunctionSingleParam extends Object implements Serializable
    serialVersionUID:
      1487114064092959806L

    - #### Serialized Fields

      - ##### alpha

            double alpha

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.PotentialFunctionAsymetric

    class PotentialFunctionAsymetric extends Object implements Serializable
    serialVersionUID:
      -3467311843369730695L

    - #### Serialized Fields

      - ##### potential1

            PotentialFunction potential1

      - ##### potential2

            PotentialFunction potential2

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.PotentialFunctionCombiner

    class PotentialFunctionCombiner extends Object implements Serializable
    serialVersionUID:
      -2573402040603897535L

    - #### Serialized Fields

      - ##### boundaries

            DecisionBoundaries boundaries

      - ##### potCombiner

            PotentialCombiner potCombiner

      - ##### potential

            PotentialFunction potential

        Decision boundaries

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.PotentialFunctionExp

    class PotentialFunctionExp extends APotentialFunctionSingleParam implements Serializable
    serialVersionUID:
      -3561789352319040751L

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.PotentialFunctionExp2

    class PotentialFunctionExp2 extends APotentialFunctionSingleParam implements Serializable
    serialVersionUID:
      -7439426502047267694L

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.PotentialFunctionExp3

    class PotentialFunctionExp3 extends APotentialFunctionSingleParam implements Serializable
    serialVersionUID:
      -3990467400963972621L

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.PotentialFunctionExp4

    class PotentialFunctionExp4 extends APotentialFunctionSingleParam implements Serializable
    serialVersionUID:
      -3561789352319040751L

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.PotentialFunctionExp5

    class PotentialFunctionExp5 extends APotentialFunctionSingleParam implements Serializable
    serialVersionUID:
      -2154236635713418568L

    - #### Serialized Fields

      - ##### beta

            double beta

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.PotentialFunctionLinear

    class PotentialFunctionLinear extends Object implements Serializable
    serialVersionUID:
      -9026060542026964841L

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.PotentialFunctionSign

    class PotentialFunctionSign extends Object implements Serializable
    serialVersionUID:
      7972722946197996622L

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.PotentialFunctionSqrt

    class PotentialFunctionSqrt extends APotentialFunctionSingleParam implements Serializable
    serialVersionUID:
      4625002209576962151L

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.PotentialFunctionTanh

    class PotentialFunctionTanh extends APotentialFunctionSingleParam implements Serializable
    serialVersionUID:
      2851294706086303366L

- ## Package weka.classifiers.functions.explicitboundaries.combiners.potentialCombiners

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.potentialCombiners.PotentialCombinerMaxMax

    class PotentialCombinerMaxMax extends Object implements Serializable
    serialVersionUID:
      7995156761904210074L

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.potentialCombiners.PotentialCombinerMaxMed

    class PotentialCombinerMaxMed extends Object implements Serializable
    serialVersionUID:
      7995156761904210074L

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.potentialCombiners.PotentialCombinerMaxMin

    class PotentialCombinerMaxMin extends Object implements Serializable
    serialVersionUID:
      7995156761904210074L

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.potentialCombiners.PotentialCombinerMaxProd

    class PotentialCombinerMaxProd extends Object implements Serializable
    serialVersionUID:
      7995156761904210074L

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.potentialCombiners.PotentialCombinerMaxTMean

    class PotentialCombinerMaxTMean extends Object implements Serializable
    serialVersionUID:
      7995156761904210074L

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.potentialCombiners.PotentialCombinerSum

    class PotentialCombinerSum extends Object implements Serializable
    serialVersionUID:
      5032036774446628203L

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.potentialCombiners.PotentialCombinerTMean

    class PotentialCombinerTMean extends Object implements Serializable
    serialVersionUID:
      7995156761904210074L

- ## Package weka.classifiers.functions.explicitboundaries.gemoetry

  - ### Class weka.classifiers.functions.explicitboundaries.gemoetry.DotProductEuclidean

    class DotProductEuclidean extends Object implements Serializable
    serialVersionUID:
      1477670834909210075L

    - #### Serialized Fields

      - ##### debug

            boolean debug

  - ### Class weka.classifiers.functions.explicitboundaries.gemoetry.GrammShmidtOrthonormal

    class GrammShmidtOrthonormal extends Object implements Serializable
    serialVersionUID:
      -712090121362205074L

    - #### Serialized Fields

      - ##### debug

            boolean debug

      - ##### dotProd

            DotProduct dotProd

  - ### Class weka.classifiers.functions.explicitboundaries.gemoetry.Plane

    class Plane extends Object implements Serializable
    serialVersionUID:
      -8391921672226254124L

    - #### Serialized Fields

      - ##### dataHeader

            weka.core.Instances dataHeader

        Header of the dataset

      - ##### debug

            boolean debug

      - ##### dotProduct

            DotProduct dotProduct

        The dot product defined in the space

      - ##### gsOrth

            GrammShmidtOrthonormal gsOrth

      - ##### normalizeDistance

            boolean normalizeDistance

      - ##### normalVector

            weka.core.Instance normalVector

        Normal vector of the plane. Instance is a vector in the data-space.

      - ##### offset

            double offset

        Offset of the plane

      - ##### planeBase

            weka.core.Instance[] planeBase

        Orthonormal base of the plane

      - ##### planeBaseFilter

            weka.filters.Filter planeBaseFilter

- ## Package weka.classifiers.functions.explicitboundaries.models

  - ### Class weka.classifiers.functions.explicitboundaries.models.FLDABoundary

    class FLDABoundary extends weka.classifiers.functions.FLDA implements Serializable
    serialVersionUID:
      8290678589313422047L

    - #### Serialized Fields

      - ##### alternativeModel

            weka.classifiers.rules.ZeroR alternativeModel

      - ##### boundary

            DecisionBoundaryPlane boundary

      - ##### defaultModel

            MajorityPlaneBoundaryModel defaultModel

        Default model

  - ### Class weka.classifiers.functions.explicitboundaries.models.FLDABoundary.FLDAPlane

    class FLDAPlane extends Plane implements Serializable
    serialVersionUID:
      -4232940652337367592L

  - ### Class weka.classifiers.functions.explicitboundaries.models.LibSVMSVCCLinearBoundary

    class LibSVMSVCCLinearBoundary extends weka.classifiers.functions.LibSVM implements Serializable
    serialVersionUID:
      1349179387758340005L

    - #### Serialized Fields

      - ##### boundary

            DecisionBoundaryPlane boundary

      - ##### dataHeader

            weka.core.Instances dataHeader

        Header of the dataset

      - ##### defaultModel

            MajorityPlaneBoundaryModel defaultModel

      - ##### zeroModel

            weka.classifiers.rules.ZeroR zeroModel

  - ### Class weka.classifiers.functions.explicitboundaries.models.LinearRegressionBoundary

    class LinearRegressionBoundary extends weka.classifiers.functions.LinearRegression implements Serializable
    serialVersionUID:
      172220668813926018L

  - ### Class weka.classifiers.functions.explicitboundaries.models.LogisticBoundary

    class LogisticBoundary extends weka.classifiers.functions.Logistic implements Serializable
    serialVersionUID:
      -763786573937960677L

    - #### Serialized Fields

      - ##### boundary

            DecisionBoundaryPlane boundary

      - ##### dataHeader

            weka.core.Instances dataHeader

        Header of the dataset

      - ##### defaultModel

            weka.classifiers.rules.ZeroR defaultModel

      - ##### defaultPlaneModel

            MajorityPlaneBoundaryModel defaultPlaneModel

      - ##### m_AttFilter

            weka.filters.unsupervised.attribute.RemoveUseless m_AttFilter

        An attribute filter

      - ##### m_NominalToBinary

            weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary

        The filter used to make attributes numeric.

      - ##### m_ReplaceMissingValues

            weka.filters.unsupervised.attribute.ReplaceMissingValues m_ReplaceMissingValues

        The filter used to get rid of missing values.

  - ### Class weka.classifiers.functions.explicitboundaries.models.LogisticBoundary.LogisticBoundaryPlane

    class LogisticBoundaryPlane extends Plane implements Serializable
    serialVersionUID:
      -1970067357108885170L

  - ### Class weka.classifiers.functions.explicitboundaries.models.MajorityPlaneBoundaryModel

    class MajorityPlaneBoundaryModel extends Object implements Serializable
    serialVersionUID:
      867284839821216595L

    - #### Serialized Fields

      - ##### debug

            boolean debug

      - ##### planeModel

            DecisionBoundaryPlane planeModel

      - ##### useDefault

            boolean useDefault

  - ### Class weka.classifiers.functions.explicitboundaries.models.MultilayerPerceptronBoundary

    class MultilayerPerceptronBoundary extends weka.classifiers.functions.MultilayerPerceptron implements Serializable
    serialVersionUID:
      -3003132125128951174L

    - #### Serialized Fields

      - ##### boundary

            DecisionBoundary boundary

      - ##### defaultModel

            weka.classifiers.rules.ZeroR defaultModel

      - ##### defaultPlaneModel

            MajorityPlaneBoundaryModel defaultPlaneModel

      - ##### m_Data

            weka.core.Instances m_Data

        Only data header -- without instances

  - ### Class weka.classifiers.functions.explicitboundaries.models.NearestCentroidBoundary

    class NearestCentroidBoundary extends weka.classifiers.functions.NearestCentroidClassifier implements Serializable
    serialVersionUID:
      -5904651566938429421L

    - #### Serialized Fields

      - ##### alternativeModel

            weka.classifiers.rules.ZeroR alternativeModel

      - ##### boundary

            DecisionBoundaryPlane boundary

      - ##### defaultModel

            MajorityPlaneBoundaryModel defaultModel

      - ##### dotProduct

            DotProduct dotProduct

  - ### Class weka.classifiers.functions.explicitboundaries.models.SMOLinearBoundary

    class SMOLinearBoundary extends weka.classifiers.functions.SMO implements Serializable
    serialVersionUID:
      -2879314365187089955L

    - #### Serialized Fields

      - ##### boundary

            DecisionBoundaryPlane boundary

      - ##### dataHeader

            weka.core.Instances dataHeader

        Header of the dataset

      - ##### defaultModel

            MajorityPlaneBoundaryModel defaultModel

      - ##### zeroModel

            weka.classifiers.rules.ZeroR zeroModel

- ## Package weka.classifiers.meta.simpleVotingLikeCombiners

  - ### Class weka.classifiers.meta.simpleVotingLikeCombiners.AOutputCombinerGeneralBased

    class AOutputCombinerGeneralBased extends weka.classifiers.meta.simpleVotingLikeCombiners.OutputCombinerBase implements Serializable
    serialVersionUID:
      -6016444809956541386L

    - #### Serialized Fields

      - ##### classCombiner

            weka.classifiers.meta.generalOutputCombiners.OutputCombiner classCombiner

      - ##### regCombiner

            weka.classifiers.meta.generalOutputCombiners.OutputCombinerNumClass regCombiner

  - ### Class weka.classifiers.meta.simpleVotingLikeCombiners.BoundaryCombiner

    class BoundaryCombiner extends weka.classifiers.meta.simpleVotingLikeCombiners.OutputCombinerBase implements Serializable
    serialVersionUID:
      7699187642315489209L

    - #### Serialized Fields

      - ##### boundaryCombiner

            DecisionBoundaryCombiner boundaryCombiner

        Combiner for boundaries

      - ##### dataHeader

            weka.core.Instances dataHeader

  - ### Class weka.classifiers.meta.simpleVotingLikeCombiners.OutputCombinerBase

    class OutputCombinerBase extends Object implements Serializable
    serialVersionUID:
      5941704616480304723L

  - ### Class weka.classifiers.meta.simpleVotingLikeCombiners.OutputCombinerGeneralBased

    class OutputCombinerGeneralBased extends weka.classifiers.meta.simpleVotingLikeCombiners.AOutputCombinerGeneralBased implements Serializable
    serialVersionUID:
      8667443066243535579L