Serialized Form

Package weka.classifiers.meta
- Class weka.classifiers.meta.AdaBoostM1 extends weka.classifiers.RandomizableIteratedSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -1178107808933117974L
  - Serialized Fields
    - m_Betas
```
double[] m_Betas
```
    - m_NumIterationsPerformed
```
int m_NumIterationsPerformed
```
    - m_WeightThreshold
```
int m_WeightThreshold
```
    - m_UseResampling
```
boolean m_UseResampling
```
    - m_NumClasses
```
int m_NumClasses
```
    - m_ZeroR
```
weka.classifiers.Classifier m_ZeroR
```
    - m_TrainingData
```
weka.core.Instances m_TrainingData
```
    - m_RandomInstance
```
java.util.Random m_RandomInstance
```
- Class weka.classifiers.meta.AdditiveRegression extends weka.classifiers.IteratedSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -2368937577670527151L
  - Serialized Fields
    - m_Classifiers
```
java.util.ArrayList<E> m_Classifiers
```
    - m_shrinkage
```
double m_shrinkage
```
    - m_InitialPrediction
```
double m_InitialPrediction
```
    - m_SuitableData
```
boolean m_SuitableData
```
    - m_Data
```
weka.core.Instances m_Data
```
    - m_Error
```
double m_Error
```
    - m_Diff
```
double m_Diff
```
    - m_MinimizeAbsoluteError
```
boolean m_MinimizeAbsoluteError
```
- Class weka.classifiers.meta.AttributeSelectedClassifier extends weka.classifiers.SingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -1151805453487947577L
  - Serialized Fields
    - m_AttributeSelection
```
weka.attributeSelection.AttributeSelection m_AttributeSelection
```
    - m_Evaluator
```
weka.attributeSelection.ASEvaluation m_Evaluator
```
    - m_Search
```
weka.attributeSelection.ASSearch m_Search
```
    - m_ReducedHeader
```
weka.core.Instances m_ReducedHeader
```
    - m_numClasses
```
int m_numClasses
```
    - m_numAttributesSelected
```
double m_numAttributesSelected
```
    - m_selectionTime
```
double m_selectionTime
```
    - m_totalTime
```
double m_totalTime
```
- Class weka.classifiers.meta.AutoWEKAClassifier extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  2907034203562786373L
  - Serialized Fields
    - log
```
org.slf4j.Logger log
```
      For logging Auto-WEKA's output.
    - classifier
```
weka.classifiers.Classifier classifier
```
      The chosen classifier.
    - as
```
weka.attributeSelection.AttributeSelection as
```
      The chosen attribute selection method.
    - classifierClass
```
java.lang.String classifierClass
```
      The class of the chosen classifier.
    - classifierArgs
```
java.lang.String[] classifierArgs
```
      The arguments of the chosen classifier.
    - attributeSearchClass
```
java.lang.String attributeSearchClass
```
      The class of the chosen attribute search method.
    - attributeSearchArgs
```
java.lang.String[] attributeSearchArgs
```
      The arguments of the chosen attribute search method.
    - attributeEvalClass
```
java.lang.String attributeEvalClass
```
      The class of the chosen attribute evaluation.
    - attributeEvalArgs
```
java.lang.String[] attributeEvalArgs
```
      The arguments of the chosen attribute evaluation method.
    - seed
```
int seed
```
      The random seed.
    - timeLimit
```
int timeLimit
```
      The time limit for running Auto-WEKA.
    - memLimit
```
int memLimit
```
      The memory limit for running classifiers.
    - nBestConfigs
```
int nBestConfigs
```
      The number of best configurations to return as output.
    - cc
```
ConfigurationCollection cc
```
      The best configurations.
    - resampling
```
weka.classifiers.meta.AutoWEKAClassifier.Resampling resampling
```
      The internal evaluation method.
    - resamplingArgs
```
java.lang.String resamplingArgs
```
      The arguments to the evaluation method.
    - extraArgs
```
java.lang.String extraArgs
```
      The extra arguments for Auto-WEKA.
    - metric
```
weka.classifiers.meta.AutoWEKAClassifier.Metric metric
```
      The error metric.
    - estimatedMetricValues
```
double[] estimatedMetricValues
```
      The estimated metric values of the chosen methods for each parallel run.
    - estimatedMetricValue
```
double estimatedMetricValue
```
      The estimated metric value of the method chosen out of the parallel runs.
    - eval
```
weka.classifiers.Evaluation eval
```
      The evaluation for the best classifier.
    - DEFAULT_PARALLEL_RUNS
```
int DEFAULT_PARALLEL_RUNS
```
      The default number of parallel threads.
    - parallelRuns
```
int parallelRuns
```
      The number of parallel threads.
    - finalTrainTime
```
double finalTrainTime
```
      The time it took to train the final classifier.
- Class weka.classifiers.meta.Bagging extends weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -115879962237199703L
  - Serialized Fields
    - m_BagSizePercent
```
int m_BagSizePercent
```
    - m_CalcOutOfBag
```
boolean m_CalcOutOfBag
```
    - m_RepresentUsingWeights
```
boolean m_RepresentUsingWeights
```
    - m_OutOfBagEvaluationObject
```
weka.classifiers.evaluation.Evaluation m_OutOfBagEvaluationObject
```
    - m_StoreOutOfBagPredictions
```
boolean m_StoreOutOfBagPredictions
```
    - m_OutputOutOfBagComplexityStatistics
```
boolean m_OutputOutOfBagComplexityStatistics
```
    - m_Numeric
```
boolean m_Numeric
```
    - m_printClassifiers
```
boolean m_printClassifiers
```
    - m_random
```
java.util.Random m_random
```
    - m_inBag
```
boolean[][] m_inBag
```
    - m_data
```
weka.core.Instances m_data
```
    - m_classifiersCache
```
java.util.List<E> m_classifiersCache
```
- Class weka.classifiers.meta.ClassificationViaRegression extends weka.classifiers.SingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  4500023123618669859L
  - Serialized Fields
    - m_Classifiers
```
weka.classifiers.Classifier[] m_Classifiers
```
    - m_ClassFilters
```
weka.filters.unsupervised.attribute.MakeIndicator[] m_ClassFilters
```
- Class weka.classifiers.meta.CostSensitiveClassifier extends weka.classifiers.RandomizableSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -110658209263002404L
  - Serialized Fields
    - m_MatrixSource
```
int m_MatrixSource
```
    - m_OnDemandDirectory
```
java.io.File m_OnDemandDirectory
```
    - m_CostFile
```
java.lang.String m_CostFile
```
    - m_CostMatrix
```
weka.classifiers.CostMatrix m_CostMatrix
```
    - m_MinimizeExpectedCost
```
boolean m_MinimizeExpectedCost
```
- Class weka.classifiers.meta.CVParameterSelection extends weka.classifiers.RandomizableSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -6529603380876641265L
  - Serialized Fields
    - m_ClassifierOptions
```
java.lang.String[] m_ClassifierOptions
```
    - m_BestClassifierOptions
```
java.lang.String[] m_BestClassifierOptions
```
    - m_InitOptions
```
java.lang.String[] m_InitOptions
```
    - m_BestPerformance
```
double m_BestPerformance
```
    - m_CVParams
```
java.util.Vector<E> m_CVParams
```
    - m_NumAttributes
```
int m_NumAttributes
```
    - m_TrainFoldSize
```
int m_TrainFoldSize
```
    - m_NumFolds
```
int m_NumFolds
```
- Class weka.classifiers.meta.CVParameterSelection.CVParameter extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -4668812017709421953L
  - Serialized Fields
    - m_ParamChar
```
java.lang.String m_ParamChar
```
    - m_Lower
```
double m_Lower
```
    - m_Upper
```
double m_Upper
```
    - m_Steps
```
double m_Steps
```
    - m_ParamValue
```
double m_ParamValue
```
    - m_AddAtEnd
```
boolean m_AddAtEnd
```
    - m_RoundParam
```
boolean m_RoundParam
```
- Class weka.classifiers.meta.FilteredClassifier extends weka.classifiers.SingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -4523450618538717400L
  - Serialized Fields
    - m_Filter
```
weka.filters.Filter m_Filter
```
    - m_FilteredInstances
```
weka.core.Instances m_FilteredInstances
```
    - m_DoNotCheckForModifiedClassAttribute
```
boolean m_DoNotCheckForModifiedClassAttribute
```
- Class weka.classifiers.meta.IterativeClassifierOptimizer extends weka.classifiers.RandomizableClassifier implements Serializable
  
  serialVersionUID:
  
  -3665485256313525864L
  - Serialized Fields
    - m_IterativeClassifier
```
weka.classifiers.IterativeClassifier m_IterativeClassifier
```
    - m_NumFolds
```
int m_NumFolds
```
    - m_NumRuns
```
int m_NumRuns
```
    - m_StepSize
```
int m_StepSize
```
    - m_UseAverage
```
boolean m_UseAverage
```
    - m_lookAheadIterations
```
int m_lookAheadIterations
```
    - m_evalMetric
```
java.lang.String m_evalMetric
```
    - m_classValueIndex
```
int m_classValueIndex
```
    - m_thresholds
```
double[] m_thresholds
```
    - m_bestResult
```
double m_bestResult
```
    - m_bestNumIts
```
int m_bestNumIts
```
    - m_numThreads
```
int m_numThreads
```
    - m_poolSize
```
int m_poolSize
```
- Class weka.classifiers.meta.LogitBoost extends weka.classifiers.RandomizableIteratedSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -1105660358715833753L
  - Serialized Fields
    - m_Classifiers
```
java.util.ArrayList<E> m_Classifiers
```
    - m_NumClasses
```
int m_NumClasses
```
    - m_NumGenerated
```
int m_NumGenerated
```
    - m_WeightThreshold
```
int m_WeightThreshold
```
    - m_NumericClassData
```
weka.core.Instances m_NumericClassData
```
    - m_ClassAttribute
```
weka.core.Attribute m_ClassAttribute
```
    - m_UseResampling
```
boolean m_UseResampling
```
    - m_Precision
```
double m_Precision
```
    - m_Shrinkage
```
double m_Shrinkage
```
    - m_RandomInstance
```
java.util.Random m_RandomInstance
```
    - m_Offset
```
double m_Offset
```
    - m_ZeroR
```
weka.classifiers.Classifier m_ZeroR
```
    - m_zMax
```
double m_zMax
```
    - m_trainYs
```
double[][] m_trainYs
```
    - m_trainFs
```
double[][] m_trainFs
```
    - m_probs
```
double[][] m_probs
```
    - m_logLikelihood
```
double m_logLikelihood
```
    - m_sumOfWeights
```
double m_sumOfWeights
```
    - m_data
```
weka.core.Instances m_data
```
    - m_numThreads
```
int m_numThreads
```
    - m_poolSize
```
int m_poolSize
```
- Class weka.classifiers.meta.MultiClassClassifier extends weka.classifiers.RandomizableSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -3879602011542849141L
  - Serialized Fields
    - m_Classifiers
```
weka.classifiers.Classifier[] m_Classifiers
```
    - m_pairwiseCoupling
```
boolean m_pairwiseCoupling
```
    - m_SumOfWeights
```
double[] m_SumOfWeights
```
    - m_ClassFilters
```
weka.filters.Filter[] m_ClassFilters
```
    - m_ZeroR
```
weka.classifiers.rules.ZeroR m_ZeroR
```
    - m_ClassAttribute
```
weka.core.Attribute m_ClassAttribute
```
    - m_TwoClassDataset
```
weka.core.Instances m_TwoClassDataset
```
    - m_RandomWidthFactor
```
double m_RandomWidthFactor
```
    - m_logLossDecoding
```
boolean m_logLossDecoding
```
    - m_Method
```
int m_Method
```
- Class weka.classifiers.meta.MultiClassClassifierUpdateable extends weka.classifiers.meta.MultiClassClassifier implements Serializable
  
  serialVersionUID:
  
  -1619685269774366430L
- Class weka.classifiers.meta.MultiScheme extends weka.classifiers.RandomizableMultipleClassifiersCombiner implements Serializable
  
  serialVersionUID:
  
  5710744346128957520L
  - Serialized Fields
    - m_Classifier
```
weka.classifiers.Classifier m_Classifier
```
    - m_ClassifierIndex
```
int m_ClassifierIndex
```
    - m_NumXValFolds
```
int m_NumXValFolds
```
- Class weka.classifiers.meta.RandomCommittee extends weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -9204394360557300093L
  - Serialized Fields
    - m_data
```
weka.core.Instances m_data
```
- Class weka.classifiers.meta.RandomizableFilteredClassifier extends weka.classifiers.meta.FilteredClassifier implements Serializable
  
  serialVersionUID:
  
  -4523466618555717333L
  - Serialized Fields
    - m_Seed
```
int m_Seed
```
- Class weka.classifiers.meta.RandomSubSpace extends weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  1278172513912424947L
  - Serialized Fields
    - m_SubSpaceSize
```
double m_SubSpaceSize
```
    - m_ZeroR
```
weka.classifiers.Classifier m_ZeroR
```
    - m_data
```
weka.core.Instances m_data
```
- Class weka.classifiers.meta.RegressionByDiscretization extends weka.classifiers.SingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  5066426153134050378L
  - Serialized Fields
    - m_Discretizer
```
weka.filters.unsupervised.attribute.Discretize m_Discretizer
```
    - m_NumBins
```
int m_NumBins
```
    - m_ClassMeans
```
double[] m_ClassMeans
```
    - m_ClassCounts
```
int[] m_ClassCounts
```
    - m_DeleteEmptyBins
```
boolean m_DeleteEmptyBins
```
    - m_OldIndexToNewIndex
```
int[] m_OldIndexToNewIndex
```
    - m_DiscretizedHeader
```
weka.core.Instances m_DiscretizedHeader
```
    - m_UseEqualFrequency
```
boolean m_UseEqualFrequency
```
    - m_MinimizeAbsoluteError
```
boolean m_MinimizeAbsoluteError
```
    - m_Estimator
```
weka.estimators.UnivariateDensityEstimator m_Estimator
```
    - m_OriginalTargetValues
```
double[] m_OriginalTargetValues
```
    - m_NewTargetValues
```
int[] m_NewTargetValues
```
- Class weka.classifiers.meta.Stacking extends weka.classifiers.RandomizableParallelMultipleClassifiersCombiner implements Serializable
  
  serialVersionUID:
  
  5134738557155845452L
  - Serialized Fields
    - m_MetaClassifier
```
weka.classifiers.Classifier m_MetaClassifier
```
    - m_MetaFormat
```
weka.core.Instances m_MetaFormat
```
    - m_BaseFormat
```
weka.core.Instances m_BaseFormat
```
    - m_NumFolds
```
int m_NumFolds
```
- Class weka.classifiers.meta.Vote extends weka.classifiers.RandomizableMultipleClassifiersCombiner implements Serializable
  
  serialVersionUID:
  
  -637891196294399624L
  - Serialized Fields
    - m_CombinationRule
```
int m_CombinationRule
```
    - m_classifiersToLoad
```
java.util.List<E> m_classifiersToLoad
```
    - m_preBuiltClassifiers
```
java.util.List<E> m_preBuiltClassifiers
```
    - m_structure
```
weka.core.Instances m_structure
```
    - m_dontPrintModels
```
boolean m_dontPrintModels
```
- Class weka.classifiers.meta.WeightedInstancesHandlerWrapper extends weka.classifiers.RandomizableSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  2980789213434466135L
  - Serialized Fields
    - m_ForceResampleWithWeights
```
boolean m_ForceResampleWithWeights
```

Package weka.gui.explorer

Class weka.gui.explorer.AbstractPlotInstances extends java.lang.Object implements Serializable

serialVersionUID:

2375155184845160908L
- Serialized Fields
  - m_Instances
```
weka.core.Instances m_Instances
```
  - m_PlotInstances
```
weka.core.Instances m_PlotInstances
```
  - m_FinishUpCalled
```
boolean m_FinishUpCalled
```

Class weka.gui.explorer.AssociationsPanel extends weka.gui.AbstractPerspective implements Serializable

serialVersionUID:: -6867871711865476971L

Serialized Fields

m_Explorer
```
weka.gui.explorer.Explorer m_Explorer
```

m_AssociatorEditor

weka.gui.GenericObjectEditor m_AssociatorEditor

m_CEPanel
```
weka.gui.PropertyPanel m_CEPanel
```
m_OutText
```
javax.swing.JTextArea m_OutText
```
m_Log
```
weka.gui.Logger m_Log
```
m_SaveOut
```
weka.gui.SaveBuffer m_SaveOut
```
m_History
```
weka.gui.ResultHistoryPanel m_History
```
m_StartBut
```
javax.swing.JButton m_StartBut
```
m_StopBut
```
javax.swing.JButton m_StopBut
```
m_storeOutput
```
javax.swing.JCheckBox m_storeOutput
```
m_Instances
```
weka.core.Instances m_Instances
```
m_TestInstances
```
weka.core.Instances m_TestInstances
```
m_RunThread
```
java.lang.Thread m_RunThread
```
m_initialSettingsSet
```
boolean m_initialSettingsSet
```

Class weka.gui.explorer.AssociationsPanel.AssociationsPanelDefaults extends weka.core.Defaults implements Serializable

serialVersionUID:

1108450683775771792L

Class weka.gui.explorer.AttributeSelectionPanel extends weka.gui.AbstractPerspective implements Serializable

serialVersionUID:: 5627185966993476142L

Serialized Fields

m_Explorer
```
weka.gui.explorer.Explorer m_Explorer
```

m_AttributeEvaluatorEditor

weka.gui.GenericObjectEditor m_AttributeEvaluatorEditor

m_AttributeSearchEditor

weka.gui.GenericObjectEditor m_AttributeSearchEditor

m_AEEPanel
```
weka.gui.PropertyPanel m_AEEPanel
```
m_ASEPanel
```
weka.gui.PropertyPanel m_ASEPanel
```
m_OutText
```
javax.swing.JTextArea m_OutText
```
m_Log
```
weka.gui.Logger m_Log
```
m_SaveOut
```
weka.gui.SaveBuffer m_SaveOut
```
m_History
```
weka.gui.ResultHistoryPanel m_History
```
m_ClassCombo
```
javax.swing.JComboBox<E> m_ClassCombo
```
m_CVBut
```
javax.swing.JRadioButton m_CVBut
```
m_TrainBut
```
javax.swing.JRadioButton m_TrainBut
```
m_CVLab
```
javax.swing.JLabel m_CVLab
```
m_CVText
```
javax.swing.JTextField m_CVText
```
m_SeedLab
```
javax.swing.JLabel m_SeedLab
```
m_SeedText
```
javax.swing.JTextField m_SeedText
```

m_RadioListener

java.awt.event.ActionListener m_RadioListener

m_StartBut
```
javax.swing.JButton m_StartBut
```
m_StopBut
```
javax.swing.JButton m_StopBut
```
COMBO_SIZE
```
java.awt.Dimension COMBO_SIZE
```
m_Instances
```
weka.core.Instances m_Instances
```
m_RunThread
```
java.lang.Thread m_RunThread
```
m_initialSettingsSet
```
boolean m_initialSettingsSet
```

Class weka.gui.explorer.AttributeSelectionPanel.AttributeSelectionPanelDefaults extends weka.core.Defaults implements Serializable

serialVersionUID:

-5413933415469545770L
Class weka.gui.explorer.AutoWEKAPanel extends weka.gui.explorer.ClassifierPanel implements Serializable

serialVersionUID:

3089066653508312179L
- Serialized Fields
  - m_Explorer
```
weka.gui.explorer.Explorer m_Explorer
```
    the parent frame.
  - m_OutText
```
javax.swing.JTextArea m_OutText
```
    The output area for classification results.
  - m_Log
```
weka.gui.Logger m_Log
```
    The destination for log/status messages.
  - m_SaveOut
```
weka.gui.SaveBuffer m_SaveOut
```
    The buffer saving object for saving output.
  - m_History
```
weka.gui.ResultHistoryPanel m_History
```
    A panel controlling results viewing.
  - m_ClassCombo
```
javax.swing.JComboBox<E> m_ClassCombo
```
    Lets the user select the class column.
  - m_ManualBut
```
javax.swing.JButton m_ManualBut
```
    Click to download manual.
  - m_StartBut
```
javax.swing.JButton m_StartBut
```
    Click to start running the experiment.
  - m_StopBut
```
javax.swing.JButton m_StopBut
```
    Click to stop a running experiment.
  - m_ClassifierEditor
```
weka.gui.GenericObjectEditor m_ClassifierEditor
```
    Lets the user configure the classifier.
  - m_CEPanel
```
weka.gui.PropertyPanel m_CEPanel
```
    The panel showing the current classifier selection.
  - m_Instances
```
weka.core.Instances m_Instances
```
    The main set of instances we're playing with.
  - m_RunThread
```
java.lang.Thread m_RunThread
```
    A thread that classification runs in.
  - aw
```
AutoWEKAClassifier aw
```
    The Auto-WEKA classifier.
Class weka.gui.explorer.ClassifierErrorsPlotInstances extends weka.gui.explorer.AbstractPlotInstances implements Serializable

serialVersionUID:

-3941976365792013279L
- Serialized Fields
  - m_MinimumPlotSizeNumeric
```
int m_MinimumPlotSizeNumeric
```
  - m_MaximumPlotSizeNumeric
```
int m_MaximumPlotSizeNumeric
```
  - m_SaveForVisualization
```
boolean m_SaveForVisualization
```
  - m_pointSizeProportionalToMargin
```
boolean m_pointSizeProportionalToMargin
```
  - m_PlotShapes
```
java.util.ArrayList<E> m_PlotShapes
```
  - m_PlotSizes
```
java.util.ArrayList<E> m_PlotSizes
```
  - m_Classifier
```
weka.classifiers.Classifier m_Classifier
```
  - m_ClassIndex
```
int m_ClassIndex
```
  - m_Evaluation
```
weka.classifiers.Evaluation m_Evaluation
```

Class weka.gui.explorer.ClassifierPanel extends weka.gui.AbstractPerspective implements Serializable

serialVersionUID:: 6959973704963624003L

Serialized Fields

m_Explorer
```
weka.gui.explorer.Explorer m_Explorer
```

m_ClassifierEditor

weka.gui.GenericObjectEditor m_ClassifierEditor

m_CEPanel
```
weka.gui.PropertyPanel m_CEPanel
```
m_OutText
```
javax.swing.JTextArea m_OutText
```
m_Log
```
weka.gui.Logger m_Log
```
m_SaveOut
```
weka.gui.SaveBuffer m_SaveOut
```
m_History
```
weka.gui.ResultHistoryPanel m_History
```
m_ClassCombo
```
javax.swing.JComboBox<E> m_ClassCombo
```
m_CVBut
```
javax.swing.JRadioButton m_CVBut
```
m_PercentBut
```
javax.swing.JRadioButton m_PercentBut
```
m_TrainBut
```
javax.swing.JRadioButton m_TrainBut
```
m_TestSplitBut
```
javax.swing.JRadioButton m_TestSplitBut
```

m_StorePredictionsBut

javax.swing.JCheckBox m_StorePredictionsBut

m_errorPlotPointSizeProportionalToMargin

javax.swing.JCheckBox m_errorPlotPointSizeProportionalToMargin

m_OutputModelBut
```
javax.swing.JCheckBox m_OutputModelBut
```

m_OutputPerClassBut

javax.swing.JCheckBox m_OutputPerClassBut

m_OutputConfusionBut

javax.swing.JCheckBox m_OutputConfusionBut

m_OutputEntropyBut

javax.swing.JCheckBox m_OutputEntropyBut

m_ClassificationOutputEditor

weka.gui.GenericObjectEditor m_ClassificationOutputEditor

m_ClassificationOutputPanel

weka.gui.PropertyPanel m_ClassificationOutputPanel

m_OutputAdditionalAttributesRange

weka.core.Range m_OutputAdditionalAttributesRange

m_EvalWRTCostsBut
```
javax.swing.JCheckBox m_EvalWRTCostsBut
```
m_SetCostsBut
```
javax.swing.JButton m_SetCostsBut
```
m_CVLab
```
javax.swing.JLabel m_CVLab
```
m_CVText
```
javax.swing.JTextField m_CVText
```
m_PercentLab
```
javax.swing.JLabel m_PercentLab
```
m_PercentText
```
javax.swing.JTextField m_PercentText
```
m_SetTestBut
```
javax.swing.JButton m_SetTestBut
```
m_SetTestFrame
```
javax.swing.JFrame m_SetTestFrame
```
m_SetCostsFrame
```
weka.gui.PropertyDialog m_SetCostsFrame
```

m_RadioListener

java.awt.event.ActionListener m_RadioListener

m_MoreOptions
```
javax.swing.JButton m_MoreOptions
```
m_RandomSeedText
```
javax.swing.JTextField m_RandomSeedText
```
m_RandomLab
```
javax.swing.JLabel m_RandomLab
```

m_PreserveOrderBut

javax.swing.JCheckBox m_PreserveOrderBut

m_OutputSourceCode

javax.swing.JCheckBox m_OutputSourceCode

m_SourceCodeClass

javax.swing.JTextField m_SourceCodeClass

m_StartBut
```
javax.swing.JButton m_StartBut
```
m_StopBut
```
javax.swing.JButton m_StopBut
```
COMBO_SIZE
```
java.awt.Dimension COMBO_SIZE
```

m_CostMatrixEditor

weka.gui.CostMatrixEditor m_CostMatrixEditor

m_Instances
```
weka.core.Instances m_Instances
```

m_TestLoader

weka.core.converters.Loader m_TestLoader

m_TestClassIndex
```
int m_TestClassIndex
```
m_RunThread
```
java.lang.Thread m_RunThread
```

m_CurrentVis

weka.gui.visualize.VisualizePanel m_CurrentVis

m_ModelFilter

javax.swing.filechooser.FileFilter m_ModelFilter

m_PMMLModelFilter

javax.swing.filechooser.FileFilter m_PMMLModelFilter

m_FileChooser
```
javax.swing.JFileChooser m_FileChooser
```
m_selectedEvalMetrics
```
java.util.List<E> m_selectedEvalMetrics
```
m_initialSettingsSet
```
boolean m_initialSettingsSet
```

Class weka.gui.explorer.ClassifierPanel.ClassifierPanelDefaults extends weka.core.Defaults implements Serializable

serialVersionUID:

7109938811150596359L
Class weka.gui.explorer.ClustererAssignmentsPlotInstances extends weka.gui.explorer.AbstractPlotInstances implements Serializable

serialVersionUID:

-4748134272046520423L
- Serialized Fields
  - m_PlotShapes
```
int[] m_PlotShapes
```
  - m_Clusterer
```
weka.clusterers.Clusterer m_Clusterer
```
  - m_Evaluation
```
weka.clusterers.ClusterEvaluation m_Evaluation
```

Class weka.gui.explorer.ClustererPanel extends weka.gui.AbstractPerspective implements Serializable

serialVersionUID:: -2474932792950820990L

Serialized Fields

m_Explorer
```
weka.gui.explorer.Explorer m_Explorer
```

m_ClustererEditor

weka.gui.GenericObjectEditor m_ClustererEditor

m_CLPanel
```
weka.gui.PropertyPanel m_CLPanel
```
m_OutText
```
javax.swing.JTextArea m_OutText
```
m_Log
```
weka.gui.Logger m_Log
```
m_SaveOut
```
weka.gui.SaveBuffer m_SaveOut
```
m_History
```
weka.gui.ResultHistoryPanel m_History
```
m_PercentBut
```
javax.swing.JRadioButton m_PercentBut
```
m_TrainBut
```
javax.swing.JRadioButton m_TrainBut
```
m_TestSplitBut
```
javax.swing.JRadioButton m_TestSplitBut
```

m_ClassesToClustersBut

javax.swing.JRadioButton m_ClassesToClustersBut

m_ClassCombo
```
javax.swing.JComboBox<E> m_ClassCombo
```
m_PercentLab
```
javax.swing.JLabel m_PercentLab
```
m_PercentText
```
javax.swing.JTextField m_PercentText
```
m_SetTestBut
```
javax.swing.JButton m_SetTestBut
```
m_SetTestFrame
```
javax.swing.JFrame m_SetTestFrame
```
m_ignoreBut
```
javax.swing.JButton m_ignoreBut
```

m_ignoreKeyModel

javax.swing.DefaultListModel<E> m_ignoreKeyModel

m_ignoreKeyList
```
javax.swing.JList<E> m_ignoreKeyList
```

m_RadioListener

java.awt.event.ActionListener m_RadioListener

m_StartBut
```
javax.swing.JButton m_StartBut
```
COMBO_SIZE
```
java.awt.Dimension COMBO_SIZE
```
m_StopBut
```
javax.swing.JButton m_StopBut
```
m_Instances
```
weka.core.Instances m_Instances
```
m_TestInstances
```
weka.core.Instances m_TestInstances
```

m_CurrentVis

weka.gui.visualize.VisualizePanel m_CurrentVis

m_StorePredictionsBut

javax.swing.JCheckBox m_StorePredictionsBut

m_RunThread
```
java.lang.Thread m_RunThread
```

m_Summary

weka.gui.InstancesSummaryPanel m_Summary

m_ModelFilter

javax.swing.filechooser.FileFilter m_ModelFilter

m_FileChooser
```
javax.swing.JFileChooser m_FileChooser
```
m_initialSettingsSet
```
boolean m_initialSettingsSet
```

Class weka.gui.explorer.ClustererPanel.ClustererPanelDefaults extends weka.core.Defaults implements Serializable

serialVersionUID:

2708388782229179493L
Class weka.gui.explorer.DataGeneratorPanel extends javax.swing.JPanel implements Serializable

serialVersionUID:

-2520408165350629380L
- Serialized Fields
  - m_GeneratorEditor
```
weka.gui.GenericObjectEditor m_GeneratorEditor
```
  - m_Instances
```
weka.core.Instances m_Instances
```
  - m_Output
```
java.io.StringWriter m_Output
```
  - m_Log
```
weka.gui.Logger m_Log
```
Class weka.gui.explorer.Explorer extends javax.swing.JPanel implements Serializable

serialVersionUID:

-7674003708867909578L
- Serialized Fields
  - m_PreprocessPanel
```
weka.gui.explorer.PreprocessPanel m_PreprocessPanel
```
  - m_Panels
```
java.util.Vector<E> m_Panels
```
  - m_TabbedPane
```
javax.swing.JTabbedPane m_TabbedPane
```
  - m_LogPanel
```
weka.gui.LogPanel m_LogPanel
```
  - m_CapabilitiesFilterChangeListeners
```
java.util.HashSet<E> m_CapabilitiesFilterChangeListeners
```
Class weka.gui.explorer.Explorer.CapabilitiesFilterChangeEvent extends javax.swing.event.ChangeEvent implements Serializable

serialVersionUID:

1194260517270385559L
- Serialized Fields
  - m_Filter
```
weka.core.Capabilities m_Filter
```
Class weka.gui.explorer.ExplorerDefaults extends java.lang.Object implements Serializable

serialVersionUID:

4954795757927524225L

Class weka.gui.explorer.PreprocessPanel extends weka.gui.AbstractPerspective implements Serializable

serialVersionUID:: 6764850273874813049L

Serialized Fields

m_InstSummaryPanel

weka.gui.InstancesSummaryPanel m_InstSummaryPanel

m_OpenFileBut
```
javax.swing.JButton m_OpenFileBut
```
m_OpenURLBut
```
javax.swing.JButton m_OpenURLBut
```
m_OpenDBBut
```
javax.swing.JButton m_OpenDBBut
```
m_GenerateBut
```
javax.swing.JButton m_GenerateBut
```
m_UndoBut
```
javax.swing.JButton m_UndoBut
```
m_EditBut
```
javax.swing.JButton m_EditBut
```
m_EditM
```
javax.swing.JMenuItem m_EditM
```
m_sendToPerspective
```
javax.swing.JMenu m_sendToPerspective
```
m_SaveBut
```
javax.swing.JButton m_SaveBut
```

m_AttPanel

weka.gui.AttributeSelectionPanel m_AttPanel

m_RemoveButton
```
javax.swing.JButton m_RemoveButton
```

m_AttSummaryPanel

weka.gui.AttributeSummaryPanel m_AttSummaryPanel

m_FilterEditor

weka.gui.GenericObjectEditor m_FilterEditor

m_FilterPanel
```
weka.gui.PropertyPanel m_FilterPanel
```
m_ApplyFilterBut
```
javax.swing.JButton m_ApplyFilterBut
```

m_FileChooser

weka.gui.ConverterFileChooser m_FileChooser

m_LastURL
```
java.lang.String m_LastURL
```
m_SQLQ
```
java.lang.String m_SQLQ
```
m_Instances
```
weka.core.Instances m_Instances
```

m_DataGenerator

weka.datagenerators.DataGenerator m_DataGenerator

m_AttVisualizePanel

weka.gui.AttributeVisualizationPanel m_AttVisualizePanel

m_tempUndoFiles
```
java.io.File[] m_tempUndoFiles
```
m_tempUndoIndex
```
int m_tempUndoIndex
```

m_Support

java.beans.PropertyChangeSupport m_Support

m_IOThread
```
java.lang.Thread m_IOThread
```
m_Log
```
weka.gui.Logger m_Log
```
m_Explorer
```
weka.gui.explorer.Explorer m_Explorer
```
m_initialSettingsSet
```
boolean m_initialSettingsSet
```
m_menus
```
java.util.List<E> m_menus
```

Class weka.gui.explorer.PreprocessPanel.PreprocessDefaults extends weka.core.Defaults implements Serializable
Class weka.gui.explorer.VisualizePanel extends weka.gui.AbstractPerspective implements Serializable

serialVersionUID:

6084015036853918846L
- Serialized Fields
  - m_Explorer
```
weka.gui.explorer.Explorer m_Explorer
```
  - m_matrixPanel
```
weka.gui.visualize.MatrixPanel m_matrixPanel
```
  - m_hasInstancesSet
```
boolean m_hasInstancesSet
```
Class weka.gui.explorer.VisualizePanel.ScatterDefaults extends weka.core.Defaults implements Serializable

serialVersionUID:

-6890761195767034507L

Serialized Form

Package weka.classifiers.meta

Class weka.classifiers.meta.AdaBoostM1 extends weka.classifiers.RandomizableIteratedSingleClassifierEnhancer implements Serializable

Serialized Fields

m_Betas

m_NumIterationsPerformed

m_WeightThreshold

m_UseResampling

m_NumClasses

m_ZeroR

m_TrainingData

m_RandomInstance

Class weka.classifiers.meta.AdditiveRegression extends weka.classifiers.IteratedSingleClassifierEnhancer implements Serializable

Serialized Fields

m_Classifiers

m_shrinkage

m_InitialPrediction

m_SuitableData

m_Data

m_Error

m_Diff

m_MinimizeAbsoluteError

Class weka.classifiers.meta.AttributeSelectedClassifier extends weka.classifiers.SingleClassifierEnhancer implements Serializable

Serialized Fields

m_AttributeSelection

m_Evaluator

m_Search

m_ReducedHeader

m_numClasses

m_numAttributesSelected

m_selectionTime

m_totalTime

Class weka.classifiers.meta.AutoWEKAClassifier extends weka.classifiers.AbstractClassifier implements Serializable

Serialized Fields

log

classifier

as

classifierClass

classifierArgs

attributeSearchClass

attributeSearchArgs

attributeEvalClass

attributeEvalArgs

seed

timeLimit

memLimit

nBestConfigs

cc

resampling

resamplingArgs

extraArgs

metric

estimatedMetricValues

estimatedMetricValue

eval

DEFAULT_PARALLEL_RUNS

parallelRuns

finalTrainTime

Class weka.classifiers.meta.Bagging extends weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer implements Serializable

Serialized Fields

m_BagSizePercent

m_CalcOutOfBag

m_RepresentUsingWeights

m_OutOfBagEvaluationObject

m_StoreOutOfBagPredictions

m_OutputOutOfBagComplexityStatistics

m_Numeric

m_printClassifiers

m_random

m_inBag

m_data

m_classifiersCache

Class weka.classifiers.meta.ClassificationViaRegression extends weka.classifiers.SingleClassifierEnhancer implements Serializable

Serialized Fields

m_Classifiers

m_ClassFilters

Class weka.classifiers.meta.CostSensitiveClassifier extends weka.classifiers.RandomizableSingleClassifierEnhancer implements Serializable

Serialized Fields

m_MatrixSource

m_OnDemandDirectory