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Package weka.classifiers.functions |
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Class weka.classifiers.functions.GaussianProcesses extends AbstractClassifier implements Serializable |
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serialVersionUID: -8620066949967678545L
Serialized Fields |
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NominalToBinary m_NominalToBinary
Filter m_Filter
int m_filterType
ReplaceMissingValues m_Missing
boolean m_checksTurnedOff
double m_delta
double m_Alin
double m_Blin
Kernel m_kernel
int m_NumTrain
double m_avg_target
double[][] m_L
Matrix m_t
Class weka.classifiers.functions.KernelRegression extends AbstractClassifier implements Serializable |
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serialVersionUID: 3171710488325239199L
Serialized Fields |
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double[] m_coefficients
ReplaceMissingValues m_missingFilter
NominalToBinary m_nominalToBinaryFilter
Normalize m_normalizeFilter
Kernel m_kernel
double[][] m_kernelMatrix
double m_classMean
int m_numInstances
boolean m_checksTurnedOff
double m_ridge
Class weka.classifiers.functions.LinearRegression extends AbstractClassifier implements Serializable |
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serialVersionUID: -3364580862046573747L
Serialized Fields |
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double[] m_Coefficients
boolean[] m_SelectedAttributes
Instances m_TransformedData
ReplaceMissingValues m_MissingFilter
NominalToBinary m_TransformFilter
double m_ClassStdDev
double m_ClassMean
int m_ClassIndex
double[] m_Means
double[] m_StdDevs
int m_AttributeSelection
boolean m_EliminateColinearAttributes
boolean m_checksTurnedOff
double m_Ridge
boolean m_Minimal
boolean m_ModelBuilt
Class weka.classifiers.functions.Logistic extends AbstractClassifier implements Serializable |
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serialVersionUID: 3932117032546553727L
Serialized Fields |
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double[][] m_Par
double[][] m_Data
int m_NumPredictors
int m_ClassIndex
int m_NumClasses
double m_Ridge
RemoveUseless m_AttFilter
NominalToBinary m_NominalToBinary
ReplaceMissingValues m_ReplaceMissingValues
boolean m_Debug
double m_LL
int m_MaxIts
boolean m_useConjugateGradientDescent
Instances m_structure
Class weka.classifiers.functions.MultilayerPerceptron extends AbstractClassifier implements Serializable |
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serialVersionUID: -5990607817048210779L
Serialized Fields |
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Classifier m_ZeroR
boolean m_useDefaultModel
Instances m_instances
Instance m_currentInstance
boolean m_numeric
double[] m_attributeRanges
double[] m_attributeBases
MultilayerPerceptron.NeuralEnd[] m_outputs
MultilayerPerceptron.NeuralEnd[] m_inputs
NeuralConnection[] m_neuralNodes
int m_numClasses
int m_numAttributes
weka.classifiers.functions.MultilayerPerceptron.NodePanel m_nodePanel
weka.classifiers.functions.MultilayerPerceptron.ControlPanel m_controlPanel
int m_nextId
FastVector<E> m_selected
FastVector<E> m_graphers
int m_numEpochs
boolean m_stopIt
boolean m_stopped
boolean m_accepted
javax.swing.JFrame m_win
boolean m_autoBuild
boolean m_gui
int m_valSize
int m_driftThreshold
int m_randomSeed
java.util.Random m_random
boolean m_useNomToBin
NominalToBinary m_nominalToBinaryFilter
java.lang.String m_hiddenLayers
boolean m_normalizeAttributes
boolean m_decay
double m_learningRate
double m_momentum
int m_epoch
double m_error
boolean m_reset
boolean m_normalizeClass
SigmoidUnit m_sigmoidUnit
LinearUnit m_linearUnit
Class weka.classifiers.functions.MultilayerPerceptron.NeuralEnd extends NeuralConnection implements Serializable |
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serialVersionUID: 7305185603191183338L
Serialized Fields |
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int m_link
boolean m_input
Class weka.classifiers.functions.MultilayerPerceptronCS extends AbstractClassifier implements Serializable |
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serialVersionUID: 572250905027665169L
Serialized Fields |
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Classifier m_ZeroR
Instances m_instances
ConverterUtils.DataSource m_valSetSource
Instances m_valSet
java.lang.String m_valSetFileName
ConverterUtils.DataSource m_secSetSource
Instances m_secSet
java.lang.String m_secSetFileName
Instance m_currentInstance
boolean m_numeric
double[] m_attributeRanges
double[] m_attributeBases
MultilayerPerceptronCS.NeuralEnd[] m_outputs
MultilayerPerceptronCS.NeuralEnd[] m_inputs
NeuralConnection[] m_neuralNodes
int m_numClasses
int m_numAttributes
weka.classifiers.functions.MultilayerPerceptronCS.NodePanel m_nodePanel
weka.classifiers.functions.MultilayerPerceptronCS.ControlPanel m_controlPanel
int m_nextId
FastVector<E> m_selected
FastVector<E> m_graphers
int m_numEpochs
boolean m_stopIt
boolean m_stopped
boolean m_accepted
javax.swing.JFrame m_win
boolean m_autoBuild
boolean m_gui
int m_valSize
int m_driftThreshold
int m_randomSeed
java.util.Random m_random
boolean m_useNomToBin
NominalToBinary m_nominalToBinaryFilter
java.lang.String m_hiddenLayers
boolean m_normalizeAttributes
boolean m_decay
double m_learningRate
double m_momentum
int m_epoch
double m_error
double m_lowValError
int m_epochIndex
boolean m_reset
boolean m_normalizeClass
SigmoidUnit m_sigmoidUnit
LinearUnit m_linearUnit
Class weka.classifiers.functions.MultilayerPerceptronCS.NeuralEnd extends NeuralConnection implements Serializable |
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serialVersionUID: 7305185603191183338L
Serialized Fields |
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int m_link
boolean m_input
Class weka.classifiers.functions.Perceptron extends AbstractClassifier implements Serializable |
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Serialized Fields |
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int m_maxIterations
double[] m_weights
NominalToBinary m_nominalToBinary
ReplaceMissingValues m_replaceMissing
Instances m_train
Class weka.classifiers.functions.SGD extends RandomizableClassifier implements Serializable |
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serialVersionUID: -3732968666673530290L
Serialized Fields |
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ReplaceMissingValues m_replaceMissing
Filter m_nominalToBinary
Normalize m_normalize
double m_lambda
double m_learningRate
double[] m_weights
double m_t
double m_numInstances
int m_epochs
boolean m_dontNormalize
boolean m_dontReplaceMissing
Instances m_data
int m_loss
Class weka.classifiers.functions.SGDText extends RandomizableClassifier implements Serializable |
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serialVersionUID: 7200171484002029584L
Serialized Fields |
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int m_periodicP
double m_minWordP
boolean m_wordFrequencies
boolean m_normalize
double m_norm
double m_lnorm
java.util.LinkedHashMap<K,V> m_dictionary
java.io.File m_stopwordsFile
Tokenizer m_tokenizer
boolean m_lowercaseTokens
Stemmer m_stemmer
boolean m_useStopList
double m_lambda
double m_learningRate
double m_t
double m_bias
double m_numInstances
Instances m_data
int m_epochs
int m_loss
SGD m_svmProbs
boolean m_fitLogistic
Instances m_fitLogisticStructure
Class weka.classifiers.functions.SimpleLinearRegression extends AbstractClassifier implements Serializable |
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serialVersionUID: 1679336022895414137L
Serialized Fields |
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Attribute m_attribute
int m_attributeIndex
double m_slope
double m_intercept
boolean m_suppressErrorMessage
Class weka.classifiers.functions.SimpleLogistic extends AbstractClassifier implements Serializable |
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serialVersionUID: 7397710626304705059L
Serialized Fields |
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LogisticBase m_boostedModel
NominalToBinary m_NominalToBinary
ReplaceMissingValues m_ReplaceMissingValues
int m_numBoostingIterations
int m_maxBoostingIterations
int m_heuristicStop
boolean m_useCrossValidation
boolean m_errorOnProbabilities
double m_weightTrimBeta
boolean m_useAIC
Class weka.classifiers.functions.SMO extends AbstractClassifier implements Serializable |
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serialVersionUID: -6585883636378691736L
Serialized Fields |
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SMO.BinarySMO[][] m_classifiers
double m_C
double m_eps
double m_tol
int m_filterType
NominalToBinary m_NominalToBinary
Filter m_Filter
ReplaceMissingValues m_Missing
int m_classIndex
Attribute m_classAttribute
boolean m_KernelIsLinear
boolean m_checksTurnedOff
boolean m_fitLogisticModels
int m_numFolds
int m_randomSeed
Kernel m_kernel
Class weka.classifiers.functions.SMO.BinarySMO extends java.lang.Object implements Serializable |
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serialVersionUID: -8246163625699362456L
Serialized Fields |
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double[] m_alpha
double m_b
double m_bLow
double m_bUp
int m_iLow
int m_iUp
Instances m_data
double[] m_weights
double[] m_sparseWeights
int[] m_sparseIndices
Kernel m_kernel
double[] m_class
double[] m_errors
SMOset m_I0
SMOset m_I1
SMOset m_I2
SMOset m_I3
SMOset m_I4
SMOset m_supportVectors
Logistic m_logistic
double m_sumOfWeights
Class weka.classifiers.functions.SMOreg extends AbstractClassifier implements Serializable |
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serialVersionUID: -7149606251113102827L
Serialized Fields |
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int m_filterType
NominalToBinary m_NominalToBinary
Filter m_Filter
ReplaceMissingValues m_Missing
boolean m_onlyNumeric
double m_C
double m_x1
double m_x0
RegOptimizer m_optimizer
Kernel m_kernel
Class weka.classifiers.functions.SSGDSVM extends AbstractClassifier implements Serializable |
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serialVersionUID: -3732968666673530290L
Serialized Fields |
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ReplaceMissingValues m_replaceMissing
NominalToBinary m_nominalToBinary
Normalize m_normalize
double m_lambda
double[] m_weights
double m_bias
double m_wScale
double m_t
int m_epochs
Instances m_data
Class weka.classifiers.functions.VotedPerceptron extends AbstractClassifier implements Serializable |
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serialVersionUID: -1072429260104568698L
Serialized Fields |
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int m_MaxK
int m_NumIterations
double m_Exponent
int m_K
int[] m_Additions
boolean[] m_IsAddition
int[] m_Weights
Instances m_Train
int m_Seed
NominalToBinary m_NominalToBinary
ReplaceMissingValues m_ReplaceMissingValues
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