weka.classifiers.Classifier calibrator
boolean useCalibrator
boolean calibratorLearned
int numFolds
weka.core.Instances dataHeader
int seed
ClassifierWithBoundaries tmpClassifier
weka.core.Instances m_Data
no.uib.cipr.matrix.Vector m_Weights
double m_Threshold
double m_Ridge
weka.filters.unsupervised.attribute.RemoveUseless m_RemoveUseless
weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary
weka.filters.Filter m_Filter
int m_filterType
weka.filters.unsupervised.attribute.ReplaceMissingValues m_Missing
boolean m_checksTurnedOff
double m_delta
double m_deltaSquared
double m_Alin
double m_Blin
weka.classifiers.functions.supportVector.Kernel m_kernel
weka.classifiers.functions.supportVector.Kernel m_actualKernel
int m_NumTrain
double m_avg_target
no.uib.cipr.matrix.Matrix m_L
no.uib.cipr.matrix.Vector m_t
double[] m_weights
weka.core.Instances m_Data
weka.estimators.MultivariateGaussianEstimator m_Estimator
double[][] m_Means
double[] m_GlobalMean
double[] m_LogPriors
double m_Ridge
weka.filters.unsupervised.attribute.RemoveUseless m_RemoveUseless
double[] m_Coefficients
boolean[] m_SelectedAttributes
weka.core.Instances m_TransformedData
weka.filters.unsupervised.attribute.ReplaceMissingValues m_MissingFilter
weka.filters.supervised.attribute.NominalToBinary m_TransformFilter
double m_ClassStdDev
double m_ClassMean
int m_ClassIndex
double[] m_Means
double[] m_StdDevs
boolean m_outputAdditionalStats
int m_AttributeSelection
boolean m_EliminateColinearAttributes
boolean m_checksTurnedOff
double m_Ridge
boolean m_Minimal
boolean m_ModelBuilt
boolean m_isZeroR
int m_df
double m_RSquared
double m_RSquaredAdj
double m_FStat
double[] m_StdErrorOfCoef
double[] m_TStats
double[][] m_Par
double[][] m_Data
int m_NumPredictors
int m_ClassIndex
int m_NumClasses
double m_Ridge
weka.filters.unsupervised.attribute.RemoveUseless m_AttFilter
weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary
weka.filters.unsupervised.attribute.ReplaceMissingValues m_ReplaceMissingValues
double m_LL
int m_MaxIts
boolean m_useConjugateGradientDescent
weka.core.Instances m_structure
int m_numModels
weka.classifiers.Classifier m_ZeroR
boolean m_useDefaultModel
weka.core.Instances m_instances
weka.core.Instance m_currentInstance
boolean m_numeric
double[] m_attributeRanges
double[] m_attributeBases
weka.classifiers.functions.MultilayerPerceptron.NeuralEnd[] m_outputs
weka.classifiers.functions.MultilayerPerceptron.NeuralEnd[] m_inputs
weka.classifiers.functions.neural.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
ArrayList<E> m_selected
int m_numEpochs
boolean m_stopIt
boolean m_stopped
boolean m_accepted
JFrame m_win
boolean m_autoBuild
boolean m_gui
int m_valSize
int m_driftThreshold
int m_randomSeed
Random m_random
boolean m_useNomToBin
weka.filters.unsupervised.attribute.NominalToBinary m_nominalToBinaryFilter
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
weka.classifiers.functions.neural.SigmoidUnit m_sigmoidUnit
weka.classifiers.functions.neural.LinearUnit m_linearUnit
int m_link
boolean m_input
weka.core.DistanceFunction distFun
weka.core.Instance[] centroids
boolean[] activeCentroids
weka.core.Instances m_Data
weka.estimators.MultivariateGaussianEstimator[] m_Estimators
double[] m_LogPriors
double m_Ridge
weka.filters.unsupervised.attribute.RemoveUseless m_RemoveUseless
weka.filters.unsupervised.attribute.ReplaceMissingValues m_replaceMissing
weka.filters.Filter m_nominalToBinary
weka.filters.unsupervised.attribute.Normalize m_normalize
double m_lambda
double m_learningRate
double[] m_weights
double m_epsilon
double m_t
double m_numInstances
int m_epochs
boolean m_dontNormalize
boolean m_dontReplaceMissing
weka.core.Instances m_data
int m_loss
int m_numModels
int m_periodicP
double m_minWordP
double m_minAbsCoefficient
boolean m_wordFrequencies
boolean m_normalize
double m_norm
double m_lnorm
LinkedHashMap<K,V> m_dictionary
weka.core.stopwords.StopwordsHandler m_StopwordsHandler
weka.core.tokenizers.Tokenizer m_tokenizer
boolean m_lowercaseTokens
weka.core.stemmers.Stemmer m_stemmer
double m_lambda
double m_learningRate
double m_t
double m_bias
double m_numInstances
weka.core.Instances m_data
int m_epochs
int m_loss
weka.classifiers.functions.SGD m_svmProbs
boolean m_fitLogistic
weka.core.Instances m_fitLogisticStructure
int m_numModels
double m_count
double m_weight
weka.core.Attribute m_attribute
int m_attributeIndex
double m_slope
double m_intercept
double m_classMeanForMissing
boolean m_outputAdditionalStats
int m_df
double m_seSlope
double m_seIntercept
double m_tstatSlope
double m_tstatIntercept
double m_rsquared
double m_rsquaredAdj
double m_fstat
boolean m_suppressErrorMessage
weka.classifiers.trees.lmt.LogisticBase m_boostedModel
weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary
weka.filters.unsupervised.attribute.ReplaceMissingValues m_ReplaceMissingValues
int m_numBoostingIterations
int m_maxBoostingIterations
int m_heuristicStop
boolean m_useCrossValidation
boolean m_errorOnProbabilities
double m_weightTrimBeta
boolean m_useAIC
weka.classifiers.functions.SMO.BinarySMO[][] m_classifiers
double m_C
double m_eps
double m_tol
int m_filterType
weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary
weka.filters.Filter m_Filter
weka.filters.unsupervised.attribute.ReplaceMissingValues m_Missing
int m_classIndex
weka.core.Attribute m_classAttribute
boolean m_KernelIsLinear
boolean m_checksTurnedOff
boolean m_fitCalibratorModels
weka.classifiers.Classifier m_calibrator
int m_numFolds
int m_randomSeed
weka.classifiers.functions.supportVector.Kernel m_kernel
double[] m_alpha
double m_b
double m_bLow
double m_bUp
int m_iLow
int m_iUp
weka.core.Instances m_data
double[] m_weights
double[] m_sparseWeights
int[] m_sparseIndices
weka.classifiers.functions.supportVector.Kernel m_kernel
double[] m_class
double[] m_errors
weka.classifiers.functions.supportVector.SMOset m_I0
weka.classifiers.functions.supportVector.SMOset m_I1
weka.classifiers.functions.supportVector.SMOset m_I2
weka.classifiers.functions.supportVector.SMOset m_I3
weka.classifiers.functions.supportVector.SMOset m_I4
weka.classifiers.functions.supportVector.SMOset m_supportVectors
weka.classifiers.Classifier m_calibrator
weka.core.Instances m_calibrationDataHeader
double m_sumOfWeights
long m_nEvals
int m_nCacheHits
int m_filterType
weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary
weka.filters.Filter m_Filter
weka.filters.unsupervised.attribute.ReplaceMissingValues m_Missing
boolean m_onlyNumeric
double m_C
double m_x1
double m_x0
weka.classifiers.functions.supportVector.RegOptimizer m_optimizer
weka.classifiers.functions.supportVector.Kernel m_kernel
int m_MaxK
int m_NumIterations
double m_Exponent
int m_K
int[] m_Additions
boolean[] m_IsAddition
int[] m_Weights
weka.core.Instances m_Train
int m_Seed
weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary
weka.filters.unsupervised.attribute.ReplaceMissingValues m_ReplaceMissingValues
weka.core.Instances datasetHeader
int class1Idx
int class2Idx
Plane decisionPlane
PotentialFunction potential
DecisionBoundaries boundaries
double alpha
double alpha
double alpha
weka.core.Instances dataHeader
weka.core.Instance normalVector
double offset
DotProduct dotProduct
boolean normalizeDistance
MajorityPlaneBoundaryModel defaultModel
weka.classifiers.rules.ZeroR alternativeModel
DecisionBoundaryPlane planeModel
boolean useDefault
weka.core.Instances m_Data
DotProduct dotProduct
MajorityPlaneBoundaryModel defaultModel
weka.core.Instances dataHeader
MajorityPlaneBoundaryModel defaultModel
DecisionBoundaryCombiner boundaryCombiner
weka.core.Instances dataHeader
weka.classifiers.meta.generalOutputCombiners.OutputCombiner classCombiner
weka.classifiers.meta.generalOutputCombiners.OutputCombinerNumClass regCombiner
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