Serialized Form

Package weka.classifiers.functions

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.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_doNotStandardizeAttributes
```
boolean m_doNotStandardizeAttributes
```
m_structure
```
weka.core.Instances m_structure
```
m_numModels
```
int m_numModels
```

Class weka.classifiers.functions.MLPClassifier extends MLPModel implements Serializable

serialVersionUID:

-3297474276438394644L
- Serialized Fields
  - m_OutputActivationFunction
```
ActivationFunction m_OutputActivationFunction
```

Class weka.classifiers.functions.MLPModel extends weka.classifiers.RandomizableClassifier implements Serializable

serialVersionUID:: -3377473376438394655L

Serialized Fields

m_Loss
```
LossFunction m_Loss
```
m_ActivationFunction
```
ActivationFunction m_ActivationFunction
```
m_numUnits
```
int m_numUnits
```
m_classIndex
```
int m_classIndex
```
m_data
```
weka.core.Instances m_data
```
m_numAttributes
```
int m_numAttributes
```
m_numClasses
```
int m_numClasses
```
m_MLPParameters
```
double[] m_MLPParameters
```
OFFSET_WEIGHTS
```
int OFFSET_WEIGHTS
```
OFFSET_ATTRIBUTE_WEIGHTS
```
int OFFSET_ATTRIBUTE_WEIGHTS
```
m_ridge
```
double m_ridge
```
m_useCGD
```
boolean m_useCGD
```
m_tolerance
```
double m_tolerance
```
m_numThreads
```
int m_numThreads
```
m_poolSize
```
int m_poolSize
```
m_Filter
```
weka.filters.Filter m_Filter
```

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_ZeroR
```
weka.classifiers.Classifier m_ZeroR
```

Class weka.classifiers.functions.MLPRegressor extends MLPModel implements Serializable

serialVersionUID:

-4477474276438394655L
- Serialized Fields
  - m_x1
```
double m_x1
```
  - m_x0
```
double m_x0
```

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
```
java.util.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
```
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

weka.filters.unsupervised.attribute.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_numItsPerformed
```
int m_numItsPerformed
```
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

m_resume
```
boolean m_resume
```
valSet
```
weka.core.Instances valSet
```
numInVal
```
int numInVal
```
totalWeight
```
double totalWeight
```
totalValWeight
```
double totalValWeight
```
driftOff
```
double driftOff
```
lastRight
```
double lastRight
```
bestError
```
double bestError
```
originalFormatData
```
weka.core.Instances originalFormatData
```

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.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

java.util.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 java.lang.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.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 java.lang.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.activation
- Class weka.classifiers.functions.activation.ApproximateSigmoid extends java.lang.Object implements Serializable
- Class weka.classifiers.functions.activation.Sigmoid extends java.lang.Object implements Serializable
- Class weka.classifiers.functions.activation.Softplus extends java.lang.Object implements Serializable
Package weka.classifiers.functions.loss
- Class weka.classifiers.functions.loss.ApproximateAbsoluteError extends java.lang.Object implements Serializable
  - Serialized Fields
    - m_Epsilon
```
double m_Epsilon
```
      The value of the epsilon parameter
- Class weka.classifiers.functions.loss.SquaredError extends java.lang.Object implements Serializable
Package weka.filters.unsupervised.attribute
- Class weka.filters.unsupervised.attribute.AbstractTimeSeries extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -3795656792078022357L
  - Serialized Fields
    - m_SelectedCols
```
weka.core.Range m_SelectedCols
```
    - m_FillWithMissing
```
boolean m_FillWithMissing
```
    - m_InstanceRange
```
int m_InstanceRange
```
    - m_History
```
weka.core.Queue m_History
```
- Class weka.filters.unsupervised.attribute.Add extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  761386447332932389L
  - Serialized Fields
    - m_AttributeType
```
int m_AttributeType
```
    - m_Name
```
java.lang.String m_Name
```
    - m_Insert
```
weka.core.SingleIndex m_Insert
```
    - m_Labels
```
java.util.ArrayList<E> m_Labels
```
    - m_DateFormat
```
java.lang.String m_DateFormat
```
    - m_Weight
```
double m_Weight
```
- Class weka.filters.unsupervised.attribute.AddCluster extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  7414280611943807337L
  - Serialized Fields
    - m_Clusterer
```
weka.clusterers.Clusterer m_Clusterer
```
    - m_SerializedClustererFile
```
java.io.File m_SerializedClustererFile
```
    - m_ActualClusterer
```
weka.clusterers.Clusterer m_ActualClusterer
```
    - m_IgnoreAttributesRange
```
weka.core.Range m_IgnoreAttributesRange
```
    - m_removeAttributes
```
weka.filters.Filter m_removeAttributes
```
- Class weka.filters.unsupervised.attribute.AddExpression extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  402130384261736245L
  - Serialized Fields
    - m_infixExpression
```
java.lang.String m_infixExpression
```
    - m_attributeName
```
java.lang.String m_attributeName
```
    - m_Debug
```
boolean m_Debug
```
    - m_Expression
```
weka.core.expressionlanguage.common.Primitives.DoubleExpression m_Expression
```
    - m_InstancesHelper
```
weka.core.expressionlanguage.weka.InstancesHelper m_InstancesHelper
```
- Class weka.filters.unsupervised.attribute.AddID extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  4734383199819293390L
  - Serialized Fields
    - m_Index
```
weka.core.SingleIndex m_Index
```
    - m_Name
```
java.lang.String m_Name
```
    - m_Counter
```
int m_Counter
```
- Class weka.filters.unsupervised.attribute.AddNoise extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -8499673222857299082L
  - Serialized Fields
    - m_AttIndex
```
weka.core.SingleIndex m_AttIndex
```
    - m_UseMissing
```
boolean m_UseMissing
```
    - m_Percent
```
int m_Percent
```
    - m_RandomSeed
```
int m_RandomSeed
```
- Class weka.filters.unsupervised.attribute.AddUserFields extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -2761427344847891585L
  - Serialized Fields
    - m_attributeSpecs
```
java.util.List<E> m_attributeSpecs
```
- Class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -617328946241474608L
  - Serialized Fields
    - m_name
```
java.lang.String m_name
```
    - m_value
```
java.lang.String m_value
```
    - m_type
```
java.lang.String m_type
```
    - m_nameS
```
java.lang.String m_nameS
```
    - m_valueS
```
java.lang.String m_valueS
```
    - m_typeS
```
java.lang.String m_typeS
```
    - m_dateFormat
```
java.text.SimpleDateFormat m_dateFormat
```
    - m_parsedDate
```
java.util.Date m_parsedDate
```
- Class weka.filters.unsupervised.attribute.AddValues extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -8100622241742393656L
  - Serialized Fields
    - m_AttIndex
```
weka.core.SingleIndex m_AttIndex
```
    - m_Labels
```
java.util.ArrayList<E> m_Labels
```
    - m_Sort
```
boolean m_Sort
```
    - m_SortedIndices
```
int[] m_SortedIndices
```
- Class weka.filters.unsupervised.attribute.CartesianProduct extends weka.filters.SimpleBatchFilter implements Serializable
  
  serialVersionUID:
  
  -227979753639722020L
  - Serialized Fields
    - m_Attributes
```
weka.core.Range m_Attributes
```
- Class weka.filters.unsupervised.attribute.Center extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable
  
  serialVersionUID:
  
  -9101338448900581023L
  - Serialized Fields
    - m_Means
```
double[] m_Means
```
- Class weka.filters.unsupervised.attribute.ChangeDateFormat extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -1609344074013448737L
  - Serialized Fields
    - m_AttIndex
```
weka.core.SingleIndex m_AttIndex
```
    - m_DateFormat
```
java.text.SimpleDateFormat m_DateFormat
```
    - m_OutputAttribute
```
weka.core.Attribute m_OutputAttribute
```
- Class weka.filters.unsupervised.attribute.ClassAssigner extends weka.filters.SimpleStreamFilter implements Serializable
  
  serialVersionUID:
  
  1775780193887394115L
  - Serialized Fields
    - m_ClassIndex
```
int m_ClassIndex
```
- Class weka.filters.unsupervised.attribute.ClusterMembership extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  6675702504667714026L
  - Serialized Fields
    - m_clusterer
```
weka.clusterers.DensityBasedClusterer m_clusterer
```
    - m_clusterers
```
weka.clusterers.DensityBasedClusterer[] m_clusterers
```
    - m_ignoreAttributesRange
```
weka.core.Range m_ignoreAttributesRange
```
    - m_removeAttributes
```
weka.filters.Filter m_removeAttributes
```
    - m_priors
```
double[] m_priors
```
- Class weka.filters.unsupervised.attribute.Copy extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -8543707493627441566L
  - Serialized Fields
    - m_CopyCols
```
weka.core.Range m_CopyCols
```
    - m_SelectedAttributes
```
int[] m_SelectedAttributes
```
- Class weka.filters.unsupervised.attribute.DateToNumeric extends weka.filters.SimpleBatchFilter implements Serializable
  
  serialVersionUID:
  
  -6614650822291796239L
  - Serialized Fields
    - m_Cols
```
weka.core.Range m_Cols
```
    - m_DefaultCols
```
java.lang.String m_DefaultCols
```
- Class weka.filters.unsupervised.attribute.Discretize extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable
  
  serialVersionUID:
  
  -1358531742174527279L
  - Serialized Fields
    - m_DiscretizeCols
```
weka.core.Range m_DiscretizeCols
```
    - m_NumBins
```
int m_NumBins
```
    - m_DesiredWeightOfInstancesPerInterval
```
double m_DesiredWeightOfInstancesPerInterval
```
    - m_CutPoints
```
double[][] m_CutPoints
```
    - m_MakeBinary
```
boolean m_MakeBinary
```
    - m_UseBinNumbers
```
boolean m_UseBinNumbers
```
    - m_FindNumBins
```
boolean m_FindNumBins
```
    - m_UseEqualFrequency
```
boolean m_UseEqualFrequency
```
    - m_DefaultCols
```
java.lang.String m_DefaultCols
```
    - m_BinRangePrecision
```
int m_BinRangePrecision
```
    - m_SpreadAttributeWeight
```
boolean m_SpreadAttributeWeight
```
- Class weka.filters.unsupervised.attribute.FirstOrder extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -7500464545400454179L
  - Serialized Fields
    - m_DeltaCols
```
weka.core.Range m_DeltaCols
```
- Class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector extends weka.filters.SimpleStreamFilter implements Serializable
  
  serialVersionUID:
  
  7990892846966916757L
  - Serialized Fields
    - m_vectorizer
```
weka.core.DictionaryBuilder m_vectorizer
```
    - m_dictionaryFile
```
java.io.File m_dictionaryFile
```
    - m_dictionaryIsBinary
```
boolean m_dictionaryIsBinary
```
- Class weka.filters.unsupervised.attribute.InterquartileRange extends weka.filters.SimpleBatchFilter implements Serializable
  
  serialVersionUID:
  
  -227879653639723030L
  - Serialized Fields
    - m_Attributes
```
weka.core.Range m_Attributes
```
    - m_AttributeIndices
```
int[] m_AttributeIndices
```
    - m_OutlierFactor
```
double m_OutlierFactor
```
    - m_ExtremeValuesFactor
```
double m_ExtremeValuesFactor
```
    - m_ExtremeValuesAsOutliers
```
boolean m_ExtremeValuesAsOutliers
```
    - m_UpperExtremeValue
```
double[] m_UpperExtremeValue
```
    - m_UpperOutlier
```
double[] m_UpperOutlier
```
    - m_LowerOutlier
```
double[] m_LowerOutlier
```
    - m_IQR
```
double[] m_IQR
```
    - m_Median
```
double[] m_Median
```
    - m_LowerExtremeValue
```
double[] m_LowerExtremeValue
```
    - m_DetectionPerAttribute
```
boolean m_DetectionPerAttribute
```
    - m_OutlierAttributePosition
```
int[] m_OutlierAttributePosition
```
    - m_OutputOffsetMultiplier
```
boolean m_OutputOffsetMultiplier
```
- Class weka.filters.unsupervised.attribute.KernelFilter extends weka.filters.SimpleBatchFilter implements Serializable
  
  serialVersionUID:
  
  213800899640387499L
  - Serialized Fields
    - m_NumTrainInstances
```
int m_NumTrainInstances
```
    - m_Kernel
```
weka.classifiers.functions.supportVector.Kernel m_Kernel
```
    - m_ActualKernel
```
weka.classifiers.functions.supportVector.Kernel m_ActualKernel
```
    - m_checksTurnedOff
```
boolean m_checksTurnedOff
```
    - m_NominalToBinary
```
weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary
```
    - m_Missing
```
weka.filters.unsupervised.attribute.ReplaceMissingValues m_Missing
```
    - m_InitFile
```
java.io.File m_InitFile
```
    - m_InitFileClassIndex
```
weka.core.SingleIndex m_InitFileClassIndex
```
    - m_Initialized
```
boolean m_Initialized
```
    - m_KernelFactorExpression
```
java.lang.String m_KernelFactorExpression
```
    - m_KernelFactor
```
double m_KernelFactor
```
    - m_Filter
```
weka.filters.Filter m_Filter
```
    - m_ActualFilter
```
weka.filters.Filter m_ActualFilter
```
- Class weka.filters.unsupervised.attribute.MakeIndicator extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  766001176862773163L
  - Serialized Fields
    - m_AttIndex
```
weka.core.SingleIndex m_AttIndex
```
    - m_ValIndex
```
weka.core.Range m_ValIndex
```
    - m_Numeric
```
boolean m_Numeric
```
- Class weka.filters.unsupervised.attribute.MathExpression extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable
  
  serialVersionUID:
  
  -3713222714671997901L
  - Serialized Fields
    - m_SelectCols
```
weka.core.Range m_SelectCols
```
    - m_expression
```
java.lang.String m_expression
```
    - m_CompiledExpression
```
weka.core.expressionlanguage.common.Primitives.DoubleExpression m_CompiledExpression
```
    - m_attStats
```
weka.experiment.Stats[] m_attStats
```
    - m_InstancesHelper
```
weka.core.expressionlanguage.weka.InstancesHelper m_InstancesHelper
```
    - m_StatsHelper
```
weka.core.expressionlanguage.weka.StatsHelper m_StatsHelper
```
    - m_CurrentValue
```
weka.core.expressionlanguage.common.SimpleVariableDeclarations.VariableInitializer m_CurrentValue
```
- Class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues extends weka.filters.SimpleBatchFilter implements Serializable
  
  serialVersionUID:
  
  4444337331921333847L
  - Serialized Fields
    - m_MinimumFrequency
```
int m_MinimumFrequency
```
    - m_SelectCols
```
weka.core.Range m_SelectCols
```
    - m_SelectedAttributes
```
int[] m_SelectedAttributes
```
    - m_AttToBeModified
```
boolean[] m_AttToBeModified
```
    - m_NewValues
```
int[][] m_NewValues
```
    - m_UseShortIDs
```
boolean m_UseShortIDs
```
- Class weka.filters.unsupervised.attribute.MergeManyValues extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable
  
  serialVersionUID:
  
  4649332102154713625L
  - Serialized Fields
    - m_AttIndex
```
weka.core.SingleIndex m_AttIndex
```
    - m_Label
```
java.lang.String m_Label
```
    - m_MergeRange
```
weka.core.Range m_MergeRange
```
- Class weka.filters.unsupervised.attribute.MergeTwoValues extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  2925048980504034018L
  - Serialized Fields
    - m_AttIndex
```
weka.core.SingleIndex m_AttIndex
```
    - m_FirstIndex
```
weka.core.SingleIndex m_FirstIndex
```
    - m_SecondIndex
```
weka.core.SingleIndex m_SecondIndex
```
- Class weka.filters.unsupervised.attribute.MLPAutoencoder extends weka.filters.SimpleBatchFilter implements Serializable
  
  serialVersionUID:
  
  -277474276438394612L
  - Serialized Fields
    - m_numUnits
```
int m_numUnits
```
    - m_data
```
weka.core.Instances m_data
```
    - m_numAttributes
```
int m_numAttributes
```
    - m_MLPParameters
```
double[] m_MLPParameters
```
    - OFFSET_O_BIASES
```
int OFFSET_O_BIASES
```
    - OFFSET_H_BIASES
```
int OFFSET_H_BIASES
```
    - m_lambda
```
double m_lambda
```
    - m_useCGD
```
boolean m_useCGD
```
    - m_tolerance
```
double m_tolerance
```
    - m_numThreads
```
int m_numThreads
```
    - m_poolSize
```
int m_poolSize
```
    - m_filterType
```
int m_filterType
```
    - m_Filter
```
weka.filters.Filter m_Filter
```
    - m_Remove
```
weka.filters.unsupervised.attribute.Remove m_Remove
```
    - m_useContractive
```
boolean m_useContractive
```
    - m_useExactSigmoid
```
boolean m_useExactSigmoid
```
    - m_outputInOriginalSpace
```
boolean m_outputInOriginalSpace
```
    - m_WeightsFile
```
java.io.File m_WeightsFile
```
    - m_offsets
```
double[] m_offsets
```
    - m_factors
```
double[] m_factors
```
    - m_Seed
```
int m_Seed
```
- Class weka.filters.unsupervised.attribute.NominalToBinary extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -1130642825710549138L
  - Serialized Fields
    - m_Columns
```
weka.core.Range m_Columns
```
    - m_Numeric
```
boolean m_Numeric
```
    - m_TransformAll
```
boolean m_TransformAll
```
    - m_needToTransform
```
boolean m_needToTransform
```
    - m_SpreadAttributeWeight
```
boolean m_SpreadAttributeWeight
```
- Class weka.filters.unsupervised.attribute.NominalToString extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  8655492378380068939L
  - Serialized Fields
    - m_AttIndex
```
weka.core.Range m_AttIndex
```
- Class weka.filters.unsupervised.attribute.Normalize extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable
  
  serialVersionUID:
  
  -8158531150984362898L
  - Serialized Fields
    - m_MinArray
```
double[] m_MinArray
```
    - m_MaxArray
```
double[] m_MaxArray
```
    - m_Translation
```
double m_Translation
```
    - m_Scale
```
double m_Scale
```
- Class weka.filters.unsupervised.attribute.NumericCleaner extends weka.filters.SimpleStreamFilter implements Serializable
  
  serialVersionUID:
  
  -352890679895066592L
  - Serialized Fields
    - m_MinThreshold
```
double m_MinThreshold
```
    - m_MinDefault
```
double m_MinDefault
```
    - m_MaxThreshold
```
double m_MaxThreshold
```
    - m_MaxDefault
```
double m_MaxDefault
```
    - m_CloseTo
```
double m_CloseTo
```
    - m_CloseToDefault
```
double m_CloseToDefault
```
    - m_CloseToTolerance
```
double m_CloseToTolerance
```
    - m_Cols
```
weka.core.Range m_Cols
```
    - m_IncludeClass
```
boolean m_IncludeClass
```
    - m_Decimals
```
int m_Decimals
```
- Class weka.filters.unsupervised.attribute.NumericToBinary extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable
  
  serialVersionUID:
  
  2616879323359470802L
  - Serialized Fields
    - m_Cols
```
weka.core.Range m_Cols
```
    - m_DefaultCols
```
java.lang.String m_DefaultCols
```
- Class weka.filters.unsupervised.attribute.NumericToDate extends weka.filters.SimpleBatchFilter implements Serializable
  
  serialVersionUID:
  
  -6514657821295776239L
  - Serialized Fields
    - m_Cols
```
weka.core.Range m_Cols
```
    - m_DefaultCols
```
java.lang.String m_DefaultCols
```
    - m_DateFormat
```
java.text.SimpleDateFormat m_DateFormat
```
- Class weka.filters.unsupervised.attribute.NumericToNominal extends weka.filters.SimpleBatchFilter implements Serializable
  
  serialVersionUID:
  
  -6614630932899796239L
  - Serialized Fields
    - m_Cols
```
weka.core.Range m_Cols
```
    - m_DefaultCols
```
java.lang.String m_DefaultCols
```
- Class weka.filters.unsupervised.attribute.NumericTransform extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -8561413333351366934L
  - Serialized Fields
    - m_Cols
```
weka.core.Range m_Cols
```
    - m_Class
```
java.lang.String m_Class
```
    - m_Method
```
java.lang.String m_Method
```
- Class weka.filters.unsupervised.attribute.Obfuscate extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -343922772462971561L
- Class weka.filters.unsupervised.attribute.OrdinalToNumeric extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable
  
  serialVersionUID:
  
  -5199516576940135696L
  - Serialized Fields
    - m_selectedRange
```
weka.core.Range m_selectedRange
```
    - m_range
```
java.lang.String m_range
```
    - m_resolvedRange
```
java.lang.String m_resolvedRange
```
- Class weka.filters.unsupervised.attribute.PartitionedMultiFilter extends weka.filters.SimpleBatchFilter implements Serializable
  
  serialVersionUID:
  
  -6293720886005713120L
  - Serialized Fields
    - m_Filters
```
weka.filters.Filter[] m_Filters
```
    - m_Ranges
```
weka.core.Range[] m_Ranges
```
    - m_RemoveUnused
```
boolean m_RemoveUnused
```
    - m_IndicesUnused
```
int[] m_IndicesUnused
```
- Class weka.filters.unsupervised.attribute.PKIDiscretize extends weka.filters.unsupervised.attribute.Discretize implements Serializable
  
  serialVersionUID:
  
  6153101248977702675L
- Class weka.filters.unsupervised.attribute.PotentialClassIgnorer extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  8625371119276845454L
  - Serialized Fields
    - m_IgnoreClass
```
boolean m_IgnoreClass
```
    - m_ClassIndex
```
int m_ClassIndex
```
- Class weka.filters.unsupervised.attribute.PrincipalComponents extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -5649876869480249303L
  - Serialized Fields
    - m_TrainInstances
```
weka.core.Instances m_TrainInstances
```
    - m_TrainCopy
```
weka.core.Instances m_TrainCopy
```
    - m_TransformedFormat
```
weka.core.Instances m_TransformedFormat
```
    - m_HasClass
```
boolean m_HasClass
```
    - m_ClassIndex
```
int m_ClassIndex
```
    - m_NumAttribs
```
int m_NumAttribs
```
    - m_NumInstances
```
int m_NumInstances
```
    - m_Correlation
```
no.uib.cipr.matrix.UpperSymmDenseMatrix m_Correlation
```
    - m_center
```
boolean m_center
```
    - m_Eigenvectors
```
double[][] m_Eigenvectors
```
    - m_Eigenvalues
```
double[] m_Eigenvalues
```
    - m_SortedEigens
```
int[] m_SortedEigens
```
    - m_SumOfEigenValues
```
double m_SumOfEigenValues
```
    - m_ReplaceMissingFilter
```
weka.filters.unsupervised.attribute.ReplaceMissingValues m_ReplaceMissingFilter
```
    - m_NominalToBinaryFilter
```
weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinaryFilter
```
    - m_AttributeFilter
```
weka.filters.unsupervised.attribute.Remove m_AttributeFilter
```
    - m_standardizeFilter
```
weka.filters.unsupervised.attribute.Standardize m_standardizeFilter
```
    - m_centerFilter
```
weka.filters.unsupervised.attribute.Center m_centerFilter
```
    - m_OutputNumAtts
```
int m_OutputNumAtts
```
    - m_CoverVariance
```
double m_CoverVariance
```
    - m_MaxAttrsInName
```
int m_MaxAttrsInName
```
    - m_MaxAttributes
```
int m_MaxAttributes
```
- Class weka.filters.unsupervised.attribute.RandomProjection extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  4428905532728645880L
  - Serialized Fields
    - m_k
```
int m_k
```
    - m_percent
```
double m_percent
```
    - m_distribution
```
int m_distribution
```
    - m_useReplaceMissing
```
boolean m_useReplaceMissing
```
    - m_OutputFormatDefined
```
boolean m_OutputFormatDefined
```
    - m_ntob
```
weka.filters.Filter m_ntob
```
    - m_replaceMissing
```
weka.filters.Filter m_replaceMissing
```
    - m_rndmSeed
```
int m_rndmSeed
```
    - m_rmatrix
```
double[][] m_rmatrix
```
    - m_random
```
java.util.Random m_random
```
- Class weka.filters.unsupervised.attribute.RandomSubset extends weka.filters.SimpleBatchFilter implements Serializable
  
  serialVersionUID:
  
  2911221724251628050L
  - Serialized Fields
    - m_NumAttributes
```
double m_NumAttributes
```
    - m_Seed
```
int m_Seed
```
    - m_Indices
```
int[] m_Indices
```
    - m_invertSelection
```
boolean m_invertSelection
```
- Class weka.filters.unsupervised.attribute.Remove extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  5011337331921522847L
  - Serialized Fields
    - m_SelectCols
```
weka.core.Range m_SelectCols
```
    - m_SelectedAttributes
```
int[] m_SelectedAttributes
```
- Class weka.filters.unsupervised.attribute.RemoveByName extends weka.filters.SimpleStreamFilter implements Serializable
  
  serialVersionUID:
  
  -3335106965521265631L
  - Serialized Fields
    - m_Expression
```
java.lang.String m_Expression
```
    - m_InvertSelection
```
boolean m_InvertSelection
```
    - m_Remove
```
weka.filters.unsupervised.attribute.Remove m_Remove
```
- Class weka.filters.unsupervised.attribute.RemoveType extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -3563999462782486279L
  - Serialized Fields
    - m_attributeFilter
```
weka.filters.unsupervised.attribute.Remove m_attributeFilter
```
    - m_attTypeToDelete
```
int m_attTypeToDelete
```
    - m_invert
```
boolean m_invert
```
- Class weka.filters.unsupervised.attribute.RemoveUseless extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -8659417851407640038L
  - Serialized Fields
    - m_removeFilter
```
weka.filters.unsupervised.attribute.Remove m_removeFilter
```
    - m_maxVariancePercentage
```
double m_maxVariancePercentage
```
- Class weka.filters.unsupervised.attribute.RenameAttribute extends weka.filters.SimpleStreamFilter implements Serializable
  
  serialVersionUID:
  
  4216491776378279596L
  - Serialized Fields
    - m_Find
```
java.lang.String m_Find
```
    - m_Replace
```
java.lang.String m_Replace
```
    - m_AttributeIndices
```
weka.core.Range m_AttributeIndices
```
    - m_ReplaceAll
```
boolean m_ReplaceAll
```
- Class weka.filters.unsupervised.attribute.RenameNominalValues extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -2121767582746512209L
  - Serialized Fields
    - m_selectedColsString
```
java.lang.String m_selectedColsString
```
    - m_selectedCols
```
weka.core.Range m_selectedCols
```
    - m_renameVals
```
java.lang.String m_renameVals
```
    - m_ignoreCase
```
boolean m_ignoreCase
```
    - m_invert
```
boolean m_invert
```
    - m_selectedAttributes
```
int[] m_selectedAttributes
```
    - m_renameMap
```
java.util.Map<K,V> m_renameMap
```
- Class weka.filters.unsupervised.attribute.Reorder extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  -1135571321097202292L
  - Serialized Fields
    - m_NewOrderCols
```
java.lang.String m_NewOrderCols
```
    - m_SelectedAttributes
```
int[] m_SelectedAttributes
```
    - m_InputStringIndex
```
int[] m_InputStringIndex
```
    - m_setAllAttributeWeightsToOne
```
boolean m_setAllAttributeWeightsToOne
```
- Class weka.filters.unsupervised.attribute.ReplaceMissingValues extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable
  
  serialVersionUID:
  
  8349568310991609867L
  - Serialized Fields
    - m_ModesAndMeans
```
double[] m_ModesAndMeans
```
- Class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable
  
  serialVersionUID:
  
  -7334039452189350356L
  - Serialized Fields
    - m_selectedRange
```
weka.core.Range m_selectedRange
```
    - m_range
```
java.lang.String m_range
```
    - m_resolvedRange
```
java.lang.String m_resolvedRange
```
    - m_nominalStringConstant
```
java.lang.String m_nominalStringConstant
```
    - m_resolvedNominalStringConstant
```
java.lang.String m_resolvedNominalStringConstant
```
    - m_numericConstant
```
java.lang.String m_numericConstant
```
    - m_resolvedNumericConstant
```
java.lang.String m_resolvedNumericConstant
```
    - m_numericConstVal
```
double m_numericConstVal
```
    - m_dateConstant
```
java.lang.String m_dateConstant
```
    - m_resolvedDateConstant
```
java.lang.String m_resolvedDateConstant
```
    - m_dateConstVal
```
double m_dateConstVal
```
    - m_defaultDateFormat
```
java.lang.String m_defaultDateFormat
```
    - m_resolvedDateFormat
```
java.lang.String m_resolvedDateFormat
```
- Class weka.filters.unsupervised.attribute.ReplaceWithMissingValue extends weka.filters.SimpleBatchFilter implements Serializable
  
  serialVersionUID:
  
  -2356630932899796239L
  - Serialized Fields
    - m_Cols
```
weka.core.Range m_Cols
```
    - m_DefaultCols
```
java.lang.String m_DefaultCols
```
    - m_Seed
```
int m_Seed
```
    - m_Probability
```
double m_Probability
```
    - m_IgnoreClass
```
boolean m_IgnoreClass
```
- Class weka.filters.unsupervised.attribute.SortLabels extends weka.filters.SimpleStreamFilter implements Serializable
  
  serialVersionUID:
  
  7815204879694105691L
  - Serialized Fields
    - m_AttributeIndices
```
weka.core.Range m_AttributeIndices
```
    - m_NewOrder
```
int[][] m_NewOrder
```
    - m_SortType
```
int m_SortType
```
    - m_Comparator
```
java.util.Comparator<T> m_Comparator
```
- Class weka.filters.unsupervised.attribute.SortLabels.CaseInsensitiveComparator extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -4515292733342486066L
- Class weka.filters.unsupervised.attribute.SortLabels.CaseSensitiveComparator extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7071450356783873277L
- Class weka.filters.unsupervised.attribute.Standardize extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable
  
  serialVersionUID:
  
  -6830769026855053281L
  - Serialized Fields
    - m_Means
```
double[] m_Means
```
    - m_StdDevs
```
double[] m_StdDevs
```
- Class weka.filters.unsupervised.attribute.StringToNominal extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  4864084427902797605L
  - Serialized Fields
    - m_AttIndices
```
weka.core.Range m_AttIndices
```
- Class weka.filters.unsupervised.attribute.StringToWordVector extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  8249106275278565424L
  - Serialized Fields
    - m_dictionaryBuilder
```
weka.core.DictionaryBuilder m_dictionaryBuilder
```
    - m_PeriodicPruningRate
```
double m_PeriodicPruningRate
```
    - m_filterType
```
int m_filterType
```
    - m_dictionaryFile
```
java.io.File m_dictionaryFile
```
    - m_dictionaryIsBinary
```
boolean m_dictionaryIsBinary
```
- Class weka.filters.unsupervised.attribute.SwapValues extends weka.filters.Filter implements Serializable
  
  serialVersionUID:
  
  6155834679414275855L
  - Serialized Fields
    - m_AttIndex
```
weka.core.SingleIndex m_AttIndex
```
    - m_FirstIndex
```
weka.core.SingleIndex m_FirstIndex
```
    - m_SecondIndex
```
weka.core.SingleIndex m_SecondIndex
```
- Class weka.filters.unsupervised.attribute.TimeSeriesDelta extends weka.filters.unsupervised.attribute.TimeSeriesTranslate implements Serializable
  
  serialVersionUID:
  
  3101490081896634942L
- Class weka.filters.unsupervised.attribute.TimeSeriesTranslate extends weka.filters.unsupervised.attribute.AbstractTimeSeries implements Serializable
  
  serialVersionUID:
  
  -8901621509691785705L
- Class weka.filters.unsupervised.attribute.Transpose extends weka.filters.SimpleBatchFilter implements Serializable
  
  serialVersionUID:
  
  213999899640387499L

Serialized Form

Package weka.classifiers.functions

Class weka.classifiers.functions.GaussianProcesses extends weka.classifiers.RandomizableClassifier implements Serializable

Serialized Fields

m_NominalToBinary

m_Filter

m_filterType

m_Missing

m_checksTurnedOff

m_delta

m_deltaSquared

m_Alin

m_Blin

m_kernel

m_actualKernel

m_NumTrain

m_avg_target

m_L

m_t

m_weights

Class weka.classifiers.functions.LinearRegression extends weka.classifiers.AbstractClassifier implements Serializable

Serialized Fields

m_Coefficients

m_SelectedAttributes

m_TransformedData

m_MissingFilter

m_TransformFilter

m_ClassStdDev

m_ClassMean

m_ClassIndex

m_Means

m_StdDevs

m_outputAdditionalStats

m_AttributeSelection

m_EliminateColinearAttributes

m_checksTurnedOff

m_useQRDecomposition

m_Ridge

m_Minimal

m_ModelBuilt

m_isZeroR

m_df

m_RSquared

m_RSquaredAdj

m_FStat

m_StdErrorOfCoef

m_TStats

Class weka.classifiers.functions.Logistic extends weka.classifiers.AbstractClassifier implements Serializable

Serialized Fields

m_Par

m_Data

m_NumPredictors

m_ClassIndex

m_NumClasses

m_Ridge

m_AttFilter

m_NominalToBinary

m_ReplaceMissingValues

m_LL

m_MaxIts

m_useConjugateGradientDescent

m_doNotStandardizeAttributes

m_structure

m_numModels

Class weka.classifiers.functions.MLPClassifier extends MLPModel implements Serializable

Serialized Fields

m_OutputActivationFunction

Class weka.classifiers.functions.MLPModel extends weka.classifiers.RandomizableClassifier implements Serializable

Serialized Fields

m_Loss

m_ActivationFunction

m_numUnits

m_classIndex

m_data

m_numAttributes

m_numClasses

m_MLPParameters

OFFSET_WEIGHTS

OFFSET_ATTRIBUTE_WEIGHTS

m_ridge