Serialized Form
Package weka.classifiers.functions |
serialVersionUID: -8620066949967678545L
m_NominalToBinary
NominalToBinary m_NominalToBinary
m_Filter
Filter m_Filter
m_filterType
int m_filterType
m_Missing
ReplaceMissingValues m_Missing
m_checksTurnedOff
boolean m_checksTurnedOff
m_delta
double m_delta
m_Alin
double m_Alin
m_Blin
double m_Blin
m_kernel
Kernel m_kernel
m_NumTrain
int m_NumTrain
m_avg_target
double m_avg_target
m_L
double[][] m_L
m_t
Matrix m_t
serialVersionUID: 3171710488325239199L
m_coefficients
double[] m_coefficients
m_missingFilter
ReplaceMissingValues m_missingFilter
m_nominalToBinaryFilter
NominalToBinary m_nominalToBinaryFilter
m_normalizeFilter
Normalize m_normalizeFilter
m_kernel
Kernel m_kernel
m_kernelMatrix
double[][] m_kernelMatrix
m_classMean
double m_classMean
m_numInstances
int m_numInstances
m_checksTurnedOff
boolean m_checksTurnedOff
m_ridge
double m_ridge
serialVersionUID: -3364580862046573747L
m_Coefficients
double[] m_Coefficients
m_SelectedAttributes
boolean[] m_SelectedAttributes
m_TransformedData
Instances m_TransformedData
m_MissingFilter
ReplaceMissingValues m_MissingFilter
m_TransformFilter
NominalToBinary m_TransformFilter
m_ClassStdDev
double m_ClassStdDev
m_ClassMean
double m_ClassMean
m_ClassIndex
int m_ClassIndex
m_Means
double[] m_Means
m_StdDevs
double[] m_StdDevs
m_AttributeSelection
int m_AttributeSelection
m_EliminateColinearAttributes
boolean m_EliminateColinearAttributes
m_checksTurnedOff
boolean m_checksTurnedOff
m_Ridge
double m_Ridge
m_Minimal
boolean m_Minimal
m_ModelBuilt
boolean m_ModelBuilt
serialVersionUID: 3932117032546553727L
m_Par
double[][] m_Par
m_Data
double[][] m_Data
m_NumPredictors
int m_NumPredictors
m_ClassIndex
int m_ClassIndex
m_NumClasses
int m_NumClasses
m_Ridge
double m_Ridge
m_AttFilter
RemoveUseless m_AttFilter
m_NominalToBinary
NominalToBinary m_NominalToBinary
m_ReplaceMissingValues
ReplaceMissingValues m_ReplaceMissingValues
m_Debug
boolean m_Debug
m_LL
double m_LL
m_MaxIts
int m_MaxIts
m_useConjugateGradientDescent
boolean m_useConjugateGradientDescent
m_structure
Instances m_structure
serialVersionUID: -5990607817048210779L
m_ZeroR
Classifier m_ZeroR
m_useDefaultModel
boolean m_useDefaultModel
m_instances
Instances m_instances
m_currentInstance
Instance m_currentInstance
m_numeric
boolean m_numeric
m_attributeRanges
double[] m_attributeRanges
m_attributeBases
double[] m_attributeBases
m_outputs
MultilayerPerceptron.NeuralEnd[] m_outputs
m_inputs
MultilayerPerceptron.NeuralEnd[] m_inputs
m_neuralNodes
NeuralConnection[] m_neuralNodes
m_numClasses
int m_numClasses
m_numAttributes
int m_numAttributes
m_nodePanel
weka.classifiers.functions.MultilayerPerceptron.NodePanel m_nodePanel
m_controlPanel
weka.classifiers.functions.MultilayerPerceptron.ControlPanel m_controlPanel
m_nextId
int m_nextId
m_selected
FastVector<E> m_selected
m_graphers
FastVector<E> m_graphers
m_numEpochs
int m_numEpochs
m_stopIt
boolean m_stopIt
m_stopped
boolean m_stopped
m_accepted
boolean m_accepted
m_win
javax.swing.JFrame m_win
m_autoBuild
boolean m_autoBuild
m_gui
boolean m_gui
m_valSize
int m_valSize
m_driftThreshold
int m_driftThreshold
m_randomSeed
int m_randomSeed
m_random
java.util.Random m_random
m_useNomToBin
boolean m_useNomToBin
m_nominalToBinaryFilter
NominalToBinary m_nominalToBinaryFilter
m_hiddenLayers
java.lang.String m_hiddenLayers
m_normalizeAttributes
boolean m_normalizeAttributes
m_decay
boolean m_decay
m_learningRate
double m_learningRate
m_momentum
double m_momentum
m_epoch
int m_epoch
m_error
double m_error
m_reset
boolean m_reset
m_normalizeClass
boolean m_normalizeClass
m_sigmoidUnit
SigmoidUnit m_sigmoidUnit
m_linearUnit
LinearUnit m_linearUnit
serialVersionUID: 7305185603191183338L
m_link
int m_link
m_input
boolean m_input
m_maxIterations
int m_maxIterations
m_weights
double[] m_weights
m_nominalToBinary
NominalToBinary m_nominalToBinary
m_replaceMissing
ReplaceMissingValues m_replaceMissing
m_train
Instances m_train
serialVersionUID: 4819775160590973256L
m_Filter
PLSFilter m_Filter
- the PLS filter
m_ActualFilter
PLSFilter m_ActualFilter
- the actual filter to use
serialVersionUID: -3732968666673530290L
m_replaceMissing
ReplaceMissingValues m_replaceMissing
m_nominalToBinary
Filter m_nominalToBinary
m_normalize
Normalize m_normalize
m_lambda
double m_lambda
m_learningRate
double m_learningRate
m_weights
double[] m_weights
m_t
double m_t
m_numInstances
double m_numInstances
m_epochs
int m_epochs
m_dontNormalize
boolean m_dontNormalize
m_dontReplaceMissing
boolean m_dontReplaceMissing
m_data
Instances m_data
m_loss
int m_loss
serialVersionUID: 7200171484002029584L
m_periodicP
int m_periodicP
m_minWordP
double m_minWordP
m_wordFrequencies
boolean m_wordFrequencies
m_normalize
boolean m_normalize
m_norm
double m_norm
m_lnorm
double m_lnorm
m_dictionary
java.util.LinkedHashMap<K,V> m_dictionary
m_stopwordsFile
java.io.File m_stopwordsFile
m_tokenizer
Tokenizer m_tokenizer
m_lowercaseTokens
boolean m_lowercaseTokens
m_stemmer
Stemmer m_stemmer
m_useStopList
boolean m_useStopList
m_lambda
double m_lambda
m_learningRate
double m_learningRate
m_t
double m_t
m_bias
double m_bias
m_numInstances
double m_numInstances
m_data
Instances m_data
m_epochs
int m_epochs
m_loss
int m_loss
m_svmProbs
SGD m_svmProbs
m_fitLogistic
boolean m_fitLogistic
m_fitLogisticStructure
Instances m_fitLogisticStructure
serialVersionUID: 1679336022895414137L
m_attribute
Attribute m_attribute
m_attributeIndex
int m_attributeIndex
m_slope
double m_slope
m_intercept
double m_intercept
m_suppressErrorMessage
boolean m_suppressErrorMessage
serialVersionUID: 7397710626304705059L
m_boostedModel
LogisticBase m_boostedModel
m_NominalToBinary
NominalToBinary m_NominalToBinary
m_ReplaceMissingValues
ReplaceMissingValues m_ReplaceMissingValues
m_numBoostingIterations
int m_numBoostingIterations
m_maxBoostingIterations
int m_maxBoostingIterations
m_heuristicStop
int m_heuristicStop
m_useCrossValidation
boolean m_useCrossValidation
m_errorOnProbabilities
boolean m_errorOnProbabilities
m_weightTrimBeta
double m_weightTrimBeta
m_useAIC
boolean m_useAIC
serialVersionUID: -6585883636378691736L
m_classifiers
SMO.BinarySMO[][] m_classifiers
m_C
double m_C
m_eps
double m_eps
m_tol
double m_tol
m_filterType
int m_filterType
m_NominalToBinary
NominalToBinary m_NominalToBinary
m_Filter
Filter m_Filter
m_Missing
ReplaceMissingValues m_Missing
m_classIndex
int m_classIndex
m_classAttribute
Attribute m_classAttribute
m_KernelIsLinear
boolean m_KernelIsLinear
m_checksTurnedOff
boolean m_checksTurnedOff
m_fitLogisticModels
boolean m_fitLogisticModels
m_numFolds
int m_numFolds
m_randomSeed
int m_randomSeed
m_kernel
Kernel m_kernel
serialVersionUID: -8246163625699362456L
m_alpha
double[] m_alpha
m_b
double m_b
m_bLow
double m_bLow
m_bUp
double m_bUp
m_iLow
int m_iLow
m_iUp
int m_iUp
m_data
Instances m_data
m_weights
double[] m_weights
m_sparseWeights
double[] m_sparseWeights
m_sparseIndices
int[] m_sparseIndices
m_kernel
Kernel m_kernel
m_class
double[] m_class
m_errors
double[] m_errors
m_I0
SMOset m_I0
m_I1
SMOset m_I1
m_I2
SMOset m_I2
m_I3
SMOset m_I3
m_I4
SMOset m_I4
m_supportVectors
SMOset m_supportVectors
m_logistic
Logistic m_logistic
m_sumOfWeights
double m_sumOfWeights
serialVersionUID: -7149606251113102827L
m_filterType
int m_filterType
m_NominalToBinary
NominalToBinary m_NominalToBinary
m_Filter
Filter m_Filter
m_Missing
ReplaceMissingValues m_Missing
m_onlyNumeric
boolean m_onlyNumeric
m_C
double m_C
m_x1
double m_x1
m_x0
double m_x0
m_optimizer
RegOptimizer m_optimizer
m_kernel
Kernel m_kernel
serialVersionUID: -3732968666673530290L
m_replaceMissing
ReplaceMissingValues m_replaceMissing
m_nominalToBinary
NominalToBinary m_nominalToBinary
m_normalize
Normalize m_normalize
m_lambda
double m_lambda
m_weights
double[] m_weights
m_bias
double m_bias
m_wScale
double m_wScale
m_t
double m_t
m_epochs
int m_epochs
m_data
Instances m_data
serialVersionUID: -1072429260104568698L
m_MaxK
int m_MaxK
m_NumIterations
int m_NumIterations
m_Exponent
double m_Exponent
m_K
int m_K
m_Additions
int[] m_Additions
m_IsAddition
boolean[] m_IsAddition
m_Weights
int[] m_Weights
m_Train
Instances m_Train
m_Seed
int m_Seed
m_NominalToBinary
NominalToBinary m_NominalToBinary
m_ReplaceMissingValues
ReplaceMissingValues m_ReplaceMissingValues
Package weka.filters.supervised.attribute |
serialVersionUID: -1931467132568441909L
m_Classifier
Classifier m_Classifier
m_SerializedClassifierFile
java.io.File m_SerializedClassifierFile
m_ActualClassifier
Classifier m_ActualClassifier
m_SerializedHeader
Instances m_SerializedHeader
m_OutputClassification
boolean m_OutputClassification
m_RemoveOldClass
boolean m_RemoveOldClass
m_OutputDistribution
boolean m_OutputDistribution
m_OutputErrorFlag
boolean m_OutputErrorFlag
serialVersionUID: -296211247688169716L
m_trainSelector
AttributeSelection m_trainSelector
m_ASEvaluator
ASEvaluation m_ASEvaluator
m_ASSearch
ASSearch m_ASSearch
m_FilterOptions
java.lang.String[] m_FilterOptions
m_SelectedAttributes
int[] m_SelectedAttributes
serialVersionUID: -2116226838887628411L
m_Seed
long m_Seed
m_Random
java.util.Random m_Random
m_Converter
int[] m_Converter
m_ClassAttribute
Attribute m_ClassAttribute
m_ClassOrder
int m_ClassOrder
m_ClassCounts
double[] m_ClassCounts
serialVersionUID: -3141006402280129097L
m_DiscretizeCols
Range m_DiscretizeCols
m_CutPoints
double[][] m_CutPoints
m_MakeBinary
boolean m_MakeBinary
m_UseBetterEncoding
boolean m_UseBetterEncoding
m_UseKononenko
boolean m_UseKononenko
serialVersionUID: -5004607029857673950L
m_Indices
int[][] m_Indices
m_Numeric
boolean m_Numeric
m_TransformAll
boolean m_TransformAll
m_needToTransform
boolean m_needToTransform
serialVersionUID: -3335106965521265631L
m_NumComponents
int m_NumComponents
- the maximum number of components to generate
m_Algorithm
int m_Algorithm
- the type of algorithm
m_PLS1_RegVector
Matrix m_PLS1_RegVector
- the regression vector "r-hat" for PLS1
m_PLS1_P
Matrix m_PLS1_P
- the P matrix for PLS1
m_PLS1_W
Matrix m_PLS1_W
- the W matrix for PLS1
m_PLS1_b_hat
Matrix m_PLS1_b_hat
- the b-hat vector for PLS1
m_SIMPLS_W
Matrix m_SIMPLS_W
- the W matrix for SIMPLS
m_SIMPLS_B
Matrix m_SIMPLS_B
- the B matrix for SIMPLS (used for prediction)
m_PerformPrediction
boolean m_PerformPrediction
- whether to include the prediction, i.e., modifying the class attribute
m_Missing
Filter m_Missing
- for replacing missing values
m_ReplaceMissing
boolean m_ReplaceMissing
- whether to replace missing values
m_Filter
Filter m_Filter
- for centering the data
m_Preprocessing
int m_Preprocessing
- the type of preprocessing
m_ClassMean
double m_ClassMean
- the mean of the class
m_ClassStdDev
double m_ClassStdDev
- the standard deviation of the class