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

    • 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

    • 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

  • Package weka.classifiers.functions.explicitboundaries.combiners

  • Package weka.classifiers.functions.explicitboundaries.combiners.potentialCombiners

  • Package weka.classifiers.functions.explicitboundaries.gemoetry

  • Package weka.classifiers.functions.explicitboundaries.models

  • 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