# Serialized Form

- ## Package weka.classifiers.functions

  - ### Class weka.classifiers.functions.BoundaryAndCentroidClassifier extends SingleClassifierEnhancerBoundary implements Serializable

    serialVersionUID:
      -4804125977465095197L

    - ### Serialized Fields

      - #### prototypeProto

            weka.classifiers.functions.nearestCentroid.IClusterPrototype prototypeProto

      - #### classProtos

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

      - #### protoPlaneSide

            double[] protoPlaneSide

      - #### stdDevs

            double[] stdDevs

      - #### proto2Bnd

            double[] proto2Bnd

      - #### potFunction

            PotentialFunction potFunction

      - #### proportion

            double proportion

        Proportion between Centroid potential and plane potential

      - #### classesOnly

            boolean classesOnly

      - #### eps

            double eps

      - #### normalize

            boolean normalize

  - ### Class weka.classifiers.functions.BoundaryBasedClassifier extends SingleClassifierEnhancerBoundary implements Serializable

    serialVersionUID:
      -2999118309114988803L

    - ### Serialized Fields

      - #### calibrator

            weka.classifiers.Classifier calibrator

        Calibrator for calculating soft outputs using given boundaries;

      - #### useCalibrator

            boolean useCalibrator

      - #### calibratorLearned

            boolean calibratorLearned

      - #### numFolds

            int numFolds

        The number of folds for fitting the calibrator

      - #### dataHeader

            weka.core.Instances dataHeader

      - #### seed

            int seed

      - #### tmpClassifier

            ClassifierWithBoundaries tmpClassifier

  - ### Class weka.classifiers.functions.BoundaryPotentialClassifier extends SingleClassifierEnhancerBoundary implements Serializable

    serialVersionUID:
      -2474381389913442147L

    - ### Serialized Fields

      - #### potential

            PotentialFunction potential

      - #### normalizeOutput

            boolean normalizeOutput

  - ### Class weka.classifiers.functions.FLDA extends weka.classifiers.AbstractClassifier implements Serializable

    serialVersionUID:
      -9212385698193681291L

    - ### Serialized Fields

      - #### m_Data

            weka.core.Instances m_Data

      - #### m_Weights

            no.uib.cipr.matrix.Vector m_Weights

      - #### m_Threshold

            double m_Threshold

      - #### m_Ridge

            double m_Ridge

      - #### m_RemoveUseless

            weka.filters.unsupervised.attribute.RemoveUseless m_RemoveUseless

  - ### Class weka.classifiers.functions.GaussianProcesses extends weka.classifiers.RandomizableClassifier 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_deltaSquared

            double m_deltaSquared

      - #### m_Alin

            double m_Alin

      - #### m_Blin

            double m_Blin

      - #### m_kernel

            weka.classifiers.functions.supportVector.Kernel m_kernel

      - #### m_actualKernel

            weka.classifiers.functions.supportVector.Kernel m_actualKernel

      - #### m_NumTrain

            int m_NumTrain

      - #### m_avg_target

            double m_avg_target

      - #### m_L

            no.uib.cipr.matrix.Matrix m_L

      - #### m_t

            no.uib.cipr.matrix.Vector m_t

      - #### m_weights

            double[] m_weights

  - ### Class weka.classifiers.functions.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_Means

            double[][] m_Means

      - #### m_GlobalMean

            double[] m_GlobalMean

      - #### m_LogPriors

            double[] m_LogPriors

      - #### m_Ridge

            double m_Ridge

      - #### m_RemoveUseless

            weka.filters.unsupervised.attribute.RemoveUseless m_RemoveUseless

  - ### 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

      - #### m_outputAdditionalStats

            boolean m_outputAdditionalStats

      - #### m_AttributeSelection

            int m_AttributeSelection

      - #### m_EliminateColinearAttributes

            boolean m_EliminateColinearAttributes

      - #### m_checksTurnedOff

            boolean m_checksTurnedOff

      - #### m_useQRDecomposition

            boolean m_useQRDecomposition

      - #### m_Ridge

            double m_Ridge

      - #### m_Minimal

            boolean m_Minimal

      - #### m_ModelBuilt

            boolean m_ModelBuilt

      - #### m_isZeroR

            boolean m_isZeroR

      - #### m_df

            int m_df

      - #### m_RSquared

            double m_RSquared

      - #### m_RSquaredAdj

            double m_RSquaredAdj

      - #### m_FStat

            double m_FStat

      - #### m_StdErrorOfCoef

            double[] m_StdErrorOfCoef

      - #### m_TStats

            double[] m_TStats

  - ### 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_LL

            double m_LL

      - #### m_MaxIts

            int m_MaxIts

      - #### m_useConjugateGradientDescent

            boolean m_useConjugateGradientDescent

      - #### m_structure

            weka.core.Instances m_structure

      - #### m_numModels

            int m_numModels

  - ### 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

            ArrayList<E> m_selected

      - #### 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.NearestCentroidClassifier extends weka.classifiers.AbstractClassifier implements Serializable

    serialVersionUID:
      8462836067571523903L

    - ### Serialized Fields

      - #### clusProto

            weka.classifiers.functions.nearestCentroid.IClusterPrototype clusProto

      - #### prototypes

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

  - ### Class weka.classifiers.functions.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_Ridge

            double m_Ridge

      - #### m_RemoveUseless

            weka.filters.unsupervised.attribute.RemoveUseless m_RemoveUseless

  - ### 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_epsilon

            double m_epsilon

      - #### 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

      - #### m_numModels

            int m_numModels

  - ### 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_minAbsCoefficient

            double m_minAbsCoefficient

      - #### m_wordFrequencies

            boolean m_wordFrequencies

      - #### m_normalize

            boolean m_normalize

      - #### m_norm

            double m_norm

      - #### m_lnorm

            double m_lnorm

      - #### m_dictionary

            LinkedHashMap<K,V> m_dictionary

      - #### m_StopwordsHandler

            weka.core.stopwords.StopwordsHandler m_StopwordsHandler

      - #### m_tokenizer

            weka.core.tokenizers.Tokenizer m_tokenizer

      - #### m_lowercaseTokens

            boolean m_lowercaseTokens

      - #### m_stemmer

            weka.core.stemmers.Stemmer m_stemmer

      - #### 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

      - #### m_svmProbs

            weka.classifiers.functions.SGD m_svmProbs

      - #### m_fitLogistic

            boolean m_fitLogistic

      - #### m_fitLogisticStructure

            weka.core.Instances m_fitLogisticStructure

      - #### m_numModels

            int m_numModels

  - ### Class weka.classifiers.functions.SGDText.Count extends Object implements Serializable

    serialVersionUID:
      2104201532017340967L

    - ### Serialized Fields

      - #### m_count

            double m_count

      - #### m_weight

            double m_weight

  - ### 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_classMeanForMissing

            double m_classMeanForMissing

      - #### m_outputAdditionalStats

            boolean m_outputAdditionalStats

      - #### m_df

            int m_df

      - #### m_seSlope

            double m_seSlope

      - #### m_seIntercept

            double m_seIntercept

      - #### m_tstatSlope

            double m_tstatSlope

      - #### m_tstatIntercept

            double m_tstatIntercept

      - #### m_rsquared

            double m_rsquared

      - #### m_rsquaredAdj

            double m_rsquaredAdj

      - #### m_fstat

            double m_fstat

      - #### 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.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 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_fitCalibratorModels

            boolean m_fitCalibratorModels

      - #### m_calibrator

            weka.classifiers.Classifier m_calibrator

      - #### 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_calibrator

            weka.classifiers.Classifier m_calibrator

      - #### m_calibrationDataHeader

            weka.core.Instances m_calibrationDataHeader

      - #### m_sumOfWeights

            double m_sumOfWeights

      - #### m_nEvals

            long m_nEvals

      - #### m_nCacheHits

            int m_nCacheHits

  - ### 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.classifiers.functions.explicitboundaries

  - ### Class weka.classifiers.functions.explicitboundaries.DecisionBoundaries extends Object implements Serializable

    serialVersionUID:
      4967310316434866060L

    - ### Serialized Fields

      - #### boundaries

            List<E> boundaries

  - ### Class weka.classifiers.functions.explicitboundaries.DecisionBoundariesExtractor extends Object implements Serializable

    serialVersionUID:
      -6809264307667740321L

  - ### Class weka.classifiers.functions.explicitboundaries.DecisionBoundary extends Object implements Serializable

    serialVersionUID:
      -2027243933463044232L

    - ### Serialized Fields

      - #### datasetHeader

            weka.core.Instances datasetHeader

      - #### class1Idx

            int class1Idx

      - #### class2Idx

            int class2Idx

  - ### Class weka.classifiers.functions.explicitboundaries.DecisionBoundaryPlane extends DecisionBoundary implements Serializable

    serialVersionUID:
      3454683549175862055L

    - ### Serialized Fields

      - #### debug

            boolean debug

      - #### decisionPlane

            Plane decisionPlane

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

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.APotentialFunctionSingleParam extends Object implements Serializable

    serialVersionUID:
      1487114064092959806L

    - ### Serialized Fields

      - #### alpha

            double alpha

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.PotentialFunctionAsymetric extends Object implements Serializable

    serialVersionUID:
      -3467311843369730695L

    - ### Serialized Fields

      - #### potential1

            PotentialFunction potential1

      - #### potential2

            PotentialFunction potential2

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.PotentialFunctionCombiner extends Object implements Serializable

    serialVersionUID:
      -2573402040603897535L

    - ### Serialized Fields

      - #### potential

            PotentialFunction potential

        Decision boundaries

      - #### boundaries

            DecisionBoundaries boundaries

      - #### potCombiner

            PotentialCombiner potCombiner

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.PotentialFunctionExp extends APotentialFunctionSingleParam implements Serializable

    serialVersionUID:
      -3561789352319040751L

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.PotentialFunctionExp2 extends APotentialFunctionSingleParam implements Serializable

    serialVersionUID:
      -7439426502047267694L

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.PotentialFunctionExp3 extends APotentialFunctionSingleParam implements Serializable

    serialVersionUID:
      -3990467400963972621L

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.PotentialFunctionExp4 extends APotentialFunctionSingleParam implements Serializable

    serialVersionUID:
      -3561789352319040751L

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.PotentialFunctionExp5 extends APotentialFunctionSingleParam implements Serializable

    serialVersionUID:
      -2154236635713418568L

    - ### Serialized Fields

      - #### beta

            double beta

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.PotentialFunctionLinear extends Object implements Serializable

    serialVersionUID:
      -9026060542026964841L

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.PotentialFunctionSign extends Object implements Serializable

    serialVersionUID:
      7972722946197996622L

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.PotentialFunctionSqrt extends APotentialFunctionSingleParam implements Serializable

    serialVersionUID:
      4625002209576962151L

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.PotentialFunctionTanh extends APotentialFunctionSingleParam implements Serializable

    serialVersionUID:
      2851294706086303366L

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

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.potentialCombiners.PotentialCombinerMaxMax extends Object implements Serializable

    serialVersionUID:
      7995156761904210074L

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.potentialCombiners.PotentialCombinerMaxMed extends Object implements Serializable

    serialVersionUID:
      7995156761904210074L

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.potentialCombiners.PotentialCombinerMaxMin extends Object implements Serializable

    serialVersionUID:
      7995156761904210074L

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.potentialCombiners.PotentialCombinerMaxProd extends Object implements Serializable

    serialVersionUID:
      7995156761904210074L

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.potentialCombiners.PotentialCombinerMaxTMean extends Object implements Serializable

    serialVersionUID:
      7995156761904210074L

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.potentialCombiners.PotentialCombinerSum extends Object implements Serializable

    serialVersionUID:
      5032036774446628203L

  - ### Class weka.classifiers.functions.explicitboundaries.combiners.potentialCombiners.PotentialCombinerTMean extends Object implements Serializable

    serialVersionUID:
      7995156761904210074L

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

  - ### Class weka.classifiers.functions.explicitboundaries.gemoetry.DotProductEuclidean extends Object implements Serializable

    serialVersionUID:
      1477670834909210075L

    - ### Serialized Fields

      - #### debug

            boolean debug

  - ### Class weka.classifiers.functions.explicitboundaries.gemoetry.GrammShmidtOrthonormal extends Object implements Serializable

    serialVersionUID:
      -712090121362205074L

    - ### Serialized Fields

      - #### dotProd

            DotProduct dotProd

      - #### debug

            boolean debug

  - ### Class weka.classifiers.functions.explicitboundaries.gemoetry.Plane extends Object implements Serializable

    serialVersionUID:
      -8391921672226254124L

    - ### Serialized Fields

      - #### dataHeader

            weka.core.Instances dataHeader

        Header of the dataset

      - #### normalVector

            weka.core.Instance normalVector

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

      - #### planeBase

            weka.core.Instance[] planeBase

        Orthonormal base of the plane

      - #### offset

            double offset

        Offset of the plane

      - #### dotProduct

            DotProduct dotProduct

        The dot product defined in the space

      - #### normalizeDistance

            boolean normalizeDistance

      - #### gsOrth

            GrammShmidtOrthonormal gsOrth

      - #### debug

            boolean debug

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

  - ### Class weka.classifiers.functions.explicitboundaries.models.FLDABoundary extends weka.classifiers.functions.FLDA implements Serializable

    serialVersionUID:
      8290678589313422047L

    - ### Serialized Fields

      - #### defaultModel

            MajorityPlaneBoundaryModel defaultModel

        Default model

      - #### alternativeModel

            weka.classifiers.rules.ZeroR alternativeModel

      - #### boundary

            DecisionBoundaryPlane boundary

  - ### Class weka.classifiers.functions.explicitboundaries.models.LinearRegressionBoundary extends weka.classifiers.functions.LinearRegression implements Serializable

    serialVersionUID:
      172220668813926018L

  - ### Class weka.classifiers.functions.explicitboundaries.models.LogisticBoundary extends weka.classifiers.functions.Logistic implements Serializable

    serialVersionUID:
      -763786573937960677L

    - ### Serialized Fields

      - #### defaultModel

            MajorityPlaneBoundaryModel defaultModel

      - #### dataHeader

            weka.core.Instances dataHeader

        Header of the dataset

      - #### boundary

            DecisionBoundaryPlane boundary

  - ### Class weka.classifiers.functions.explicitboundaries.models.MajorityPlaneBoundaryModel extends Object implements Serializable

    serialVersionUID:
      867284839821216595L

    - ### Serialized Fields

      - #### planeModel

            DecisionBoundaryPlane planeModel

      - #### useDefault

            boolean useDefault

      - #### debug

            boolean debug

  - ### Class weka.classifiers.functions.explicitboundaries.models.MultilayerPerceptronBoundary extends weka.classifiers.functions.MultilayerPerceptron implements Serializable

    serialVersionUID:
      -3003132125128951174L

    - ### Serialized Fields

      - #### m_Data

            weka.core.Instances m_Data

        Only data header -- without instances

      - #### boundary

            DecisionBoundary boundary

  - ### Class weka.classifiers.functions.explicitboundaries.models.NearestCentroidBoundary extends weka.classifiers.functions.NearestCentroidClassifier implements Serializable

    serialVersionUID:
      -5904651566938429421L

    - ### Serialized Fields

      - #### dotProduct

            DotProduct dotProduct

      - #### defaultModel

            MajorityPlaneBoundaryModel defaultModel

      - #### boundary

            DecisionBoundaryPlane boundary

  - ### Class weka.classifiers.functions.explicitboundaries.models.SMOLinearBoundary extends weka.classifiers.functions.SMO implements Serializable

    serialVersionUID:
      -2879314365187089955L

    - ### Serialized Fields

      - #### dataHeader

            weka.core.Instances dataHeader

        Header of the dataset

      - #### defaultModel

            MajorityPlaneBoundaryModel defaultModel

      - #### boundary

            DecisionBoundaryPlane boundary

- ## Package weka.classifiers.meta.simpleVotingLikeCombiners

  - ### Class weka.classifiers.meta.simpleVotingLikeCombiners.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 extends Object implements Serializable

    serialVersionUID:
      5941704616480304723L

  - ### Class weka.classifiers.meta.simpleVotingLikeCombiners.OutputCombinerGeneralBased extends weka.classifiers.meta.simpleVotingLikeCombiners.OutputCombinerBase implements Serializable

    serialVersionUID:
      -3850999140140846979L

    - ### Serialized Fields

      - #### classCombiner

            weka.classifiers.meta.generalOutputCombiners.OutputCombiner classCombiner

      - #### regCombiner

            weka.classifiers.meta.generalOutputCombiners.OutputCombinerNumClass regCombiner

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