Serialized Form (multisearch 2021.2.17 API)

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_NumItsThisSession
```
int m_NumItsThisSession
```
    - 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
```
Random m_RandomInstance
```
    - m_resume
```
boolean m_resume
```
- Class weka.classifiers.meta.AdditiveRegression extends weka.classifiers.IteratedSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -2368937577670527151L
  - Serialized Fields
    - m_Classifiers
```
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
```
    - m_resume
```
boolean m_resume
```
    - m_numItsPerformed
```
int m_numItsPerformed
```
- 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.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
```
Random m_random
```
    - m_inBag
```
boolean[][] m_inBag
```
    - m_data
```
weka.core.Instances m_data
```
    - m_classifiersCache
```
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
```
File m_OnDemandDirectory
```
    - m_CostFile
```
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
```
String[] m_ClassifierOptions
```
    - m_BestClassifierOptions
```
String[] m_BestClassifierOptions
```
    - m_InitOptions
```
String[] m_InitOptions
```
    - m_BestPerformance
```
double m_BestPerformance
```
    - m_CVParams
```
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 Object implements Serializable
  
  serialVersionUID:
  
  -4668812017709421953L
  - Serialized Fields
    - m_ParamChar
```
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.RandomizableSingleClassifierEnhancer 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
```
    - m_ReorderOriginal
```
weka.filters.unsupervised.attribute.Reorder m_ReorderOriginal
```
    - m_ReorderFiltered
```
weka.filters.unsupervised.attribute.Reorder m_ReorderFiltered
```
- 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
```
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
```
    - m_splitPercentage
```
double m_splitPercentage
```
    - m_preserveOrderInPercentageSplitEvaluation
```
boolean m_preserveOrderInPercentageSplitEvaluation
```
- Class weka.classifiers.meta.LogitBoost extends weka.classifiers.RandomizableIteratedSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -1105660358715833753L
  - Serialized Fields
    - m_Classifiers
```
ArrayList<E> m_Classifiers
```
    - m_NumClasses
```
int m_NumClasses
```
    - m_NumGenerated
```
int m_NumGenerated
```
    - m_NumItsPerformed
```
int m_NumItsPerformed
```
    - 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_UseEstimatedPriors
```
boolean m_UseEstimatedPriors
```
    - m_RandomInstance
```
Random m_RandomInstance
```
    - m_Offset
```
double m_Offset
```
    - m_ZeroR
```
weka.classifiers.Classifier m_ZeroR
```
    - m_InitialFs
```
double[] m_InitialFs
```
    - 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
```
    - m_resume
```
boolean m_resume
```
- 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.MultiSearch extends weka.classifiers.RandomizableSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -5129316523575906233L
  - Serialized Fields
    - m_BestClassifier
```
AbstractSearch.SearchResult m_BestClassifier
```
      the Classifier with the best setup.
    - m_Factory
```
AbstractEvaluationFactory<M extends AbstractEvaluationMetrics,W extends AbstractEvaluationWrapper,T extends AbstractEvaluationTask,E> m_Factory
```
      the evaluation factory to use.
    - m_Metrics
```
AbstractEvaluationMetrics m_Metrics
```
      the metrics to use.
    - m_Evaluation
```
int m_Evaluation
```
      the type of evaluation.
    - m_ClassLabel
```
weka.core.SingleIndex m_ClassLabel
```
      the class label index (if applicable).
    - m_LogFile
```
File m_LogFile
```
      the log file to use.
    - m_DefaultParameters
```
AbstractParameter[] m_DefaultParameters
```
      the default parameters.
    - m_Parameters
```
AbstractParameter[] m_Parameters
```
      the parameters.
    - m_Algorithm
```
AbstractSearch m_Algorithm
```
      the search algorithm.
    - m_Generator
```
SetupGenerator m_Generator
```
      the current setup generator.
    - m_Trace
```
List<E> m_Trace
```
      for tracking the setups.
- 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
- 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
```
List<E> m_classifiersToLoad
```
    - m_preBuiltClassifiers
```
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.classifiers.meta.multisearch
- Class weka.classifiers.meta.multisearch.AbstractEvaluationFactory extends Object implements Serializable
  
  serialVersionUID:
  
  -2165415795400169938L
- Class weka.classifiers.meta.multisearch.AbstractEvaluationMetrics extends Object implements Serializable
  
  serialVersionUID:
  
  -2845628542266516187L
- Class weka.classifiers.meta.multisearch.AbstractEvaluationWrapper extends Object implements Serializable
  
  serialVersionUID:
  
  -4712561735709150591L
  - Serialized Fields
    - m_Metrics
```
AbstractEvaluationMetrics m_Metrics
```
      the metrics in use.
- Class weka.classifiers.meta.multisearch.AbstractMultiThreadedSearch extends AbstractSearch implements Serializable
  - Serialized Fields
    - m_NumExecutionSlots
```
int m_NumExecutionSlots
```
      The number of threads to have executing at any one time.
- Class weka.classifiers.meta.multisearch.AbstractSearch extends Object implements Serializable
  
  serialVersionUID:
  
  -8938470419284825738L
  - Serialized Fields
    - m_Trace
```
List<E> m_Trace
```
      for tracking the setups.
    - m_Debug
```
boolean m_Debug
```
      the debug flag.
    - m_Space
```
Space m_Space
```
      the parameter space.
    - m_NumSetups
```
int m_NumSetups
```
      the number of setups to evaluate.
    - m_Performances
```
Vector<E> m_Performances
```
      for storing the performances.
    - m_Cache
```
PerformanceCache m_Cache
```
      the cache for points in the space that got calculated (raw points in space, not evaluated ones!).
    - m_UniformPerformance
```
boolean m_UniformPerformance
```
      whether all performances in the space are the same.
    - m_Values
```
Point<E> m_Values
```
      the best values.
- Class weka.classifiers.meta.multisearch.AbstractSearch.SearchResult extends Object implements Serializable
  
  serialVersionUID:
  
  -5322332623001051928L
  - Serialized Fields
    - classifier
```
weka.classifiers.Classifier classifier
```
    - performance
```
Performance performance
```
    - values
```
Point<E> values
```
- Class weka.classifiers.meta.multisearch.DefaultEvaluationFactory extends AbstractEvaluationFactory<DefaultEvaluationMetrics,DefaultEvaluationWrapper,DefaultEvaluationTask,weka.classifiers.Evaluation> implements Serializable
  
  serialVersionUID:
  
  -7535032839072532838L
- Class weka.classifiers.meta.multisearch.DefaultEvaluationMetrics extends AbstractEvaluationMetrics implements Serializable
  
  serialVersionUID:
  
  8549253661958964524L
- Class weka.classifiers.meta.multisearch.DefaultEvaluationWrapper extends AbstractEvaluationWrapper<weka.classifiers.Evaluation,DefaultEvaluationMetrics> implements Serializable
  
  serialVersionUID:
  
  931329614934902835L
  - Serialized Fields
    - m_Evaluation
```
weka.classifiers.Evaluation m_Evaluation
```
      the evaluation object.
- Class weka.classifiers.meta.multisearch.DefaultSearch extends AbstractMultiThreadedSearch implements Serializable
  
  serialVersionUID:
  
  -3579744329581176799L
  - Serialized Fields
    - m_SampleSize
```
double m_SampleSize
```
      the sample size to search the initial space with.
    - m_InitialSpaceNumFolds
```
int m_InitialSpaceNumFolds
```
      number of cross-validation folds in the initial space.
    - m_SubsequentSpaceNumFolds
```
int m_SubsequentSpaceNumFolds
```
      number of cross-validation folds in the subsequent spaces.
    - m_InitialSpaceTestSet
```
File m_InitialSpaceTestSet
```
      the optional test set to use for the initial evaluation (overrides cross-validation, ignored if dir).
    - m_SubsequentSpaceTestSet
```
File m_SubsequentSpaceTestSet
```
      the optional test set to use for the subsequent evaluation (overrides cross-validation, ignored if dir).
    - m_InitialSpaceTestInst
```
weka.core.Instances m_InitialSpaceTestInst
```
      the optional test set to use for the initial evaluation.
    - m_SubsequentSpaceTestInst
```
weka.core.Instances m_SubsequentSpaceTestInst
```
      the optional test set to use for the subsequent evaluation.
    - m_Lenient
```
boolean m_Lenient
```
      whether to be more lenient (does not throw exception when all results cached).
- Class weka.classifiers.meta.multisearch.Performance extends Object implements Serializable
  
  serialVersionUID:
  
  -4374706475277588755L
  - Serialized Fields
    - m_Values
```
Point<E> m_Values
```
      the values the filter/classifier were built with.
    - m_Evaluation
```
int m_Evaluation
```
      the evaluation type.
    - m_ClassLabel
```
int m_ClassLabel
```
      the class label index.
    - m_Metrics
```
AbstractEvaluationMetrics m_Metrics
```
      the metrics.
    - m_MetricValues
```
HashMap<K,V> m_MetricValues
```
      stores the metric values.
    - m_Classifier
```
weka.classifiers.Classifier m_Classifier
```
      the classifier.
- Class weka.classifiers.meta.multisearch.PerformanceCache extends Object implements Serializable
  
  serialVersionUID:
  
  5838863230451530252L
  - Serialized Fields
    - m_Cache
```
Hashtable<K,V> m_Cache
```
      the cache for points in the space that got calculated.
- Class weka.classifiers.meta.multisearch.PerformanceComparator extends Object implements Serializable
  
  serialVersionUID:
  
  6507592831825393847L
  - Serialized Fields
    - m_Evaluation
```
int m_Evaluation
```
      the performance measure to use for comparison.
    - m_Metrics
```
AbstractEvaluationMetrics m_Metrics
```
      the metrics to use.
- Class weka.classifiers.meta.multisearch.RandomSearch extends AbstractMultiThreadedSearch implements Serializable
  
  serialVersionUID:
  
  2542453917013899104L
  - Serialized Fields
    - m_SampleSize
```
double m_SampleSize
```
      the sample size to search with.
    - m_SearchSpaceNumFolds
```
int m_SearchSpaceNumFolds
```
      number of cross-validation folds for each point in space.
    - m_SearchSpaceTestSet
```
File m_SearchSpaceTestSet
```
      the optional test set to use for the evaluation (overrides cross-validation, ignored if dir).
    - m_SearchSpaceTestInst
```
weka.core.Instances m_SearchSpaceTestInst
```
      the optional test set to use for the evaluation.
    - m_NumIterations
```
int m_NumIterations
```
      maximum number of iterations to find optimum.
    - m_RandomSeed
```
int m_RandomSeed
```
      the random seed
Package weka.core
- Class weka.core.AbstractInstance extends Object implements Serializable
  
  serialVersionUID:
  
  1482635194499365155L
  - Serialized Fields
    - m_Dataset
```
weka.core.Instances m_Dataset
```
    - m_AttValues
```
double[] m_AttValues
```
    - m_Weight
```
double m_Weight
```
- Class weka.core.AlgVector extends Object implements Serializable
  
  serialVersionUID:
  
  -4023736016850256591L
  - Serialized Fields
    - m_Elements
```
double[] m_Elements
```
- Class weka.core.Attribute extends Object implements Serializable
  
  serialVersionUID:
  
  -742180568732916383L
  - Serialized Fields
    - m_Name
```
String m_Name
```
    - m_Type
```
int m_Type
```
    - m_AttributeInfo
```
weka.core.AttributeInfo m_AttributeInfo
```
    - m_Index
```
int m_Index
```
    - m_Weight
```
double m_Weight
```
    - m_AttributeMetaInfo
```
weka.core.AttributeMetaInfo m_AttributeMetaInfo
```
- Class weka.core.AttributeLocator extends Object implements Serializable
  
  serialVersionUID:
  
  -2932848827681070345L
  - Serialized Fields
    - m_AllowedIndices
```
int[] m_AllowedIndices
```
    - m_Attributes
```
BitSet m_Attributes
```
    - m_Locators
```
ArrayList<E> m_Locators
```
    - m_Type
```
int m_Type
```
    - m_Data
```
weka.core.Instances m_Data
```
    - m_Indices
```
int[] m_Indices
```
    - m_LocatorIndices
```
int[] m_LocatorIndices
```
- Class weka.core.AttributeMetaInfo extends Object implements Serializable
  - Serialized Fields
    - m_Metadata
```
weka.core.ProtectedProperties m_Metadata
```
    - m_Ordering
```
int m_Ordering
```
    - m_IsRegular
```
boolean m_IsRegular
```
    - m_IsAveragable
```
boolean m_IsAveragable
```
    - m_HasZeropoint
```
boolean m_HasZeropoint
```
    - m_LowerBound
```
double m_LowerBound
```
    - m_LowerBoundIsOpen
```
boolean m_LowerBoundIsOpen
```
    - m_UpperBound
```
double m_UpperBound
```
    - m_UpperBoundIsOpen
```
boolean m_UpperBoundIsOpen
```
- Class weka.core.AttributeStats extends Object implements Serializable
  
  serialVersionUID:
  
  4434688832743939380L
  - Serialized Fields
    - intCount
```
int intCount
```
    - realCount
```
int realCount
```
    - missingCount
```
int missingCount
```
    - distinctCount
```
int distinctCount
```
    - uniqueCount
```
int uniqueCount
```
    - totalCount
```
int totalCount
```
    - numericStats
```
weka.experiment.Stats numericStats
```
    - nominalCounts
```
int[] nominalCounts
```
    - nominalWeights
```
double[] nominalWeights
```
- Class weka.core.BinarySparseInstance extends weka.core.SparseInstance implements Serializable
  
  serialVersionUID:
  
  -5297388762342528737L
- Class weka.core.Capabilities extends Object implements Serializable
  
  serialVersionUID:
  
  -5478590032325567849L
  - Serialized Fields
    - m_Owner
```
weka.core.CapabilitiesHandler m_Owner
```
    - m_Capabilities
```
HashSet<E> m_Capabilities
```
    - m_Dependencies
```
HashSet<E> m_Dependencies
```
    - m_InterfaceDefinedCapabilities
```
HashSet<E> m_InterfaceDefinedCapabilities
```
    - m_FailReason
```
Exception m_FailReason
```
    - m_MinimumNumberInstances
```
int m_MinimumNumberInstances
```
    - m_Test
```
boolean m_Test
```
    - m_InstancesTest
```
boolean m_InstancesTest
```
    - m_AttributeTest
```
boolean m_AttributeTest
```
    - m_MissingValuesTest
```
boolean m_MissingValuesTest
```
    - m_MissingClassValuesTest
```
boolean m_MissingClassValuesTest
```
    - m_MinimumNumberInstancesTest
```
boolean m_MinimumNumberInstancesTest
```
- Class weka.core.ChebyshevDistance extends weka.core.NormalizableDistance implements Serializable
  
  serialVersionUID:
  
  -7739904999895461429L
- Class weka.core.DateAttributeInfo extends Object implements Serializable
  - Serialized Fields
    - m_DateFormat
```
SimpleDateFormat m_DateFormat
```
- Class weka.core.Debug extends Object implements Serializable
  
  serialVersionUID:
  
  66171861743328020L
  - Serialized Fields
    - m_Enabled
```
boolean m_Enabled
```
    - m_Log
```
weka.core.Debug.Log m_Log
```
    - m_Clock
```
weka.core.Debug.Clock m_Clock
```
- Class weka.core.Debug.Clock extends Object implements Serializable
  
  serialVersionUID:
  
  4622161807307942201L
  - Serialized Fields
    - m_OutputFormat
```
int m_OutputFormat
```
    - m_Start
```
long m_Start
```
    - m_Stop
```
long m_Stop
```
    - m_Running
```
boolean m_Running
```
    - m_ThreadID
```
long m_ThreadID
```
    - m_CanMeasureCpuTime
```
boolean m_CanMeasureCpuTime
```
    - m_UseCpuTime
```
boolean m_UseCpuTime
```
- Class weka.core.Debug.DBO extends Object implements Serializable
  
  serialVersionUID:
  
  -5245628124742606784L
  - Serialized Fields
    - m_verboseOn
```
boolean m_verboseOn
```
    - m_outputTypes
```
weka.core.Range m_outputTypes
```
- Class weka.core.Debug.Log extends Object implements Serializable
  
  serialVersionUID:
  
  1458435732111675823L
  - Serialized Fields
    - m_Filename
```
String m_Filename
```
    - m_Size
```
int m_Size
```
    - m_NumFiles
```
int m_NumFiles
```
    - m_LoggerInitFailed
```
boolean m_LoggerInitFailed
```
- Class weka.core.Debug.Random extends Random implements Serializable
  
  serialVersionUID:
  
  1256846887618333956L
  - Serialized Fields
    - m_Debug
```
boolean m_Debug
```
    - m_ID
```
long m_ID
```
    - m_Log
```
weka.core.Debug.Log m_Log
```
- Class weka.core.Debug.SimpleLog extends Object implements Serializable
  
  serialVersionUID:
  
  -2671928223819510830L
  - Serialized Fields
    - m_Filename
```
String m_Filename
```
- Class weka.core.Debug.Timestamp extends Object implements Serializable
  
  serialVersionUID:
  
  -6099868388466922753L
  - Serialized Fields
    - m_Stamp
```
Date m_Stamp
```
    - m_Format
```
String m_Format
```
    - m_Formatter
```
SimpleDateFormat m_Formatter
```
- Class weka.core.Defaults extends Object implements Serializable
  
  serialVersionUID:
  
  1061521489520308096L
  - Serialized Fields
    - m_defaultsID
```
String m_defaultsID
```
    - m_defaults
```
Map<K,V> m_defaults
```
- Class weka.core.DenseInstance extends weka.core.AbstractInstance implements Serializable
  
  serialVersionUID:
  
  1482635194499365122L
- Class weka.core.DictionaryBuilder extends Object implements Serializable
  
  serialVersionUID:
  
  5579506627960356012L
  - Serialized Fields
    - m_inputFormat
```
weka.core.Instances m_inputFormat
```
    - m_outputFormat
```
weka.core.Instances m_outputFormat
```
    - m_dictsPerClass
```
Map<K,V>[] m_dictsPerClass
```
    - m_consolidatedDict
```
Map<K,V> m_consolidatedDict
```
    - m_doNotOperateOnPerClassBasis
```
boolean m_doNotOperateOnPerClassBasis
```
    - m_outputCounts
```
boolean m_outputCounts
```
    - m_lowerCaseTokens
```
boolean m_lowerCaseTokens
```
    - m_stemmer
```
weka.core.stemmers.Stemmer m_stemmer
```
    - m_stopwordsHandler
```
weka.core.stopwords.StopwordsHandler m_stopwordsHandler
```
    - m_wordsToKeep
```
int m_wordsToKeep
```
    - m_periodicPruneRate
```
long m_periodicPruneRate
```
    - m_minFrequency
```
int m_minFrequency
```
    - m_count
```
int m_count
```
    - m_tokenizer
```
weka.core.tokenizers.Tokenizer m_tokenizer
```
    - m_selectedRange
```
weka.core.Range m_selectedRange
```
    - m_classIndex
```
int m_classIndex
```
    - m_numClasses
```
int m_numClasses
```
    - m_Prefix
```
String m_Prefix
```
    - m_TFTransform
```
boolean m_TFTransform
```
    - m_IDFTransform
```
boolean m_IDFTransform
```
    - m_normalize
```
boolean m_normalize
```
    - m_docLengthSum
```
double m_docLengthSum
```
    - m_avgDocLength
```
double m_avgDocLength
```
    - m_sortDictionary
```
boolean m_sortDictionary
```
    - m_inputContainsStringAttributes
```
boolean m_inputContainsStringAttributes
```
- Class weka.core.EnvironmentProperties extends Properties implements Serializable
- Class weka.core.EuclideanDistance extends weka.core.NormalizableDistance implements Serializable
  
  serialVersionUID:
  
  1068606253458807903L
- Class weka.core.FastVector extends ArrayList<E> implements Serializable
  
  serialVersionUID:
  
  -2173635135622930169L
- Class weka.core.FilteredDistance extends Object implements Serializable
  - Serialized Fields
    - m_Distance
```
weka.core.DistanceFunction m_Distance
```
    - m_Filter
```
weka.filters.Filter m_Filter
```
    - m_Remove
```
weka.filters.unsupervised.attribute.Remove m_Remove
```
- Class weka.core.InstanceComparator extends Object implements Serializable
  
  serialVersionUID:
  
  -6589278678230949683L
  - Serialized Fields
    - m_IncludeClass
```
boolean m_IncludeClass
```
    - m_Range
```
weka.core.Range m_Range
```
- Class weka.core.Instances extends AbstractList<weka.core.Instance> implements Serializable
  
  serialVersionUID:
  
  -19412345060742748L
  - Serialized Fields
    - m_RelationName
```
String m_RelationName
```
    - m_Attributes
```
ArrayList<E> m_Attributes
```
    - m_NamesToAttributeIndices
```
HashMap<K,V> m_NamesToAttributeIndices
```
    - m_Instances
```
ArrayList<E> m_Instances
```
    - m_ClassIndex
```
int m_ClassIndex
```
    - m_Lines
```
int m_Lines
```
- Class weka.core.ManhattanDistance extends weka.core.NormalizableDistance implements Serializable
  
  serialVersionUID:
  
  6783782554224000243L
- Class weka.core.Matrix extends Object implements Serializable
  
  serialVersionUID:
  
  -3604757095849145838L
  - Serialized Fields
    - m_Matrix
```
weka.core.matrix.Matrix m_Matrix
```
      Deprecated.
- Class weka.core.MinkowskiDistance extends weka.core.NormalizableDistance implements Serializable
  
  serialVersionUID:
  
  -7446019339455453893L
  - Serialized Fields
    - m_Order
```
double m_Order
```
- Class weka.core.NominalAttributeInfo extends Object implements Serializable
  - Serialized Fields
    - m_Values
```
ArrayList<E> m_Values
```
    - m_Hashtable
```
Hashtable<K,V> m_Hashtable
```
- Class weka.core.NormalizableDistance extends Object implements Serializable
  
  serialVersionUID:
  
  -2806520224161351708L
  - Serialized Fields
    - m_Data
```
weka.core.Instances m_Data
```
    - m_DontNormalize
```
boolean m_DontNormalize
```
    - m_Ranges
```
double[][] m_Ranges
```
    - m_AttributeIndices
```
weka.core.Range m_AttributeIndices
```
    - m_ActiveIndices
```
boolean[] m_ActiveIndices
```
    - m_Validated
```
boolean m_Validated
```
- Class weka.core.NoSupportForMissingValuesException extends weka.core.WekaException implements Serializable
  
  serialVersionUID:
  
  5161175307725893973L
- Class weka.core.ProtectedProperties extends Properties implements Serializable
  
  serialVersionUID:
  
  3876658672657323985L
  - Serialized Fields
    - closed
```
boolean closed
```
- Class weka.core.Queue extends Object implements Serializable
  
  serialVersionUID:
  
  -1141282001146389780L
  - Serialized Fields
    - m_Head
```
weka.core.Queue.QueueNode m_Head
```
    - m_Tail
```
weka.core.Queue.QueueNode m_Tail
```
    - m_Size
```
int m_Size
```
- Class weka.core.Queue.QueueNode extends Object implements Serializable
  
  serialVersionUID:
  
  -5119358279412097455L
  - Serialized Fields
    - m_Next
```
weka.core.Queue.QueueNode m_Next
```
    - m_Contents
```
Object m_Contents
```
- Class weka.core.RandomVariates extends Random implements Serializable
  
  serialVersionUID:
  
  -4763742718209460354L
- Class weka.core.Range extends Object implements Serializable
  
  serialVersionUID:
  
  3667337062176835900L
  - Serialized Fields
    - m_RangeStrings
```
ArrayList<E> m_RangeStrings
```
    - m_Invert
```
boolean m_Invert
```
    - m_SelectFlags
```
boolean[] m_SelectFlags
```
    - m_Upper
```
int m_Upper
```
- Class weka.core.RelationalAttributeInfo extends weka.core.NominalAttributeInfo implements Serializable
  - Serialized Fields
    - m_Header
```
weka.core.Instances m_Header
```
- Class weka.core.RelationalLocator extends weka.core.AttributeLocator implements Serializable
  
  serialVersionUID:
  
  4646872277151854732L
- Class weka.core.SelectedTag extends Object implements Serializable
  
  serialVersionUID:
  
  6947341624626504975L
  - Serialized Fields
    - m_Selected
```
int m_Selected
```
    - m_Tags
```
weka.core.Tag[] m_Tags
```
- Class weka.core.SerializedObject extends Object implements Serializable
  
  serialVersionUID:
  
  6635502953928860434L
  - Serialized Fields
    - m_storedObjectArray
```
byte[] m_storedObjectArray
```
    - m_isCompressed
```
boolean m_isCompressed
```
    - m_isJython
```
boolean m_isJython
```
- Class weka.core.Settings extends Object implements Serializable
  
  serialVersionUID:
  
  -4005372566372478008L
  - Serialized Fields
    - m_settings
```
Map<K,V> m_settings
```
    - m_storeName
```
String m_storeName
```
    - m_ID
```
String m_ID
```
- Class weka.core.Settings.SettingKey extends Object implements Serializable
  - Serialized Fields
    - m_key
```
String m_key
```
    - m_description
```
String m_description
```
    - m_toolTip
```
String m_toolTip
```
    - m_pickList
```
List<E> m_pickList
```
    - m_meta
```
Map<K,V> m_meta
```
- Class weka.core.SetupGenerator extends Object implements Serializable
  
  serialVersionUID:
  
  7683008589774888142L
  - Serialized Fields
    - m_BaseObject
```
Serializable m_BaseObject
```
      base object.
    - m_Parameters
```
AbstractParameter[] m_Parameters
```
      the parameters.
    - m_Initialized
```
boolean m_Initialized
```
      whether everything has been initialized.
    - m_Space
```
Space m_Space
```
      the parameter space to use for obtaining the setups from.
- Class weka.core.SingleIndex extends Object implements Serializable
  
  serialVersionUID:
  
  5285169134430839303L
  - Serialized Fields
    - m_IndexString
```
String m_IndexString
```
    - m_SelectedIndex
```
int m_SelectedIndex
```
    - m_Upper
```
int m_Upper
```
- Class weka.core.SparseInstance extends weka.core.AbstractInstance implements Serializable
  
  serialVersionUID:
  
  -3579051291332630149L
  - Serialized Fields
    - m_Indices
```
int[] m_Indices
```
    - m_NumAttributes
```
int m_NumAttributes
```
- Class weka.core.StringLocator extends weka.core.AttributeLocator implements Serializable
  
  serialVersionUID:
  
  7805522230268783972L
- Class weka.core.Tag extends Object implements Serializable
  
  serialVersionUID:
  
  3326379903447135320L
  - Serialized Fields
    - m_ID
```
int m_ID
```
    - m_IDStr
```
String m_IDStr
```
    - m_Readable
```
String m_Readable
```
- Class weka.core.TestInstances extends Object implements Serializable
  
  serialVersionUID:
  
  -6263968936330390469L
  - Serialized Fields
    - m_Words
```
String[] m_Words
```
    - m_WordSeparators
```
String m_WordSeparators
```
    - m_Relation
```
String m_Relation
```
    - m_Seed
```
int m_Seed
```
    - m_Random
```
Random m_Random
```
    - m_NumInstances
```
int m_NumInstances
```
    - m_ClassType
```
int m_ClassType
```
    - m_NumClasses
```
int m_NumClasses
```
    - m_ClassIndex
```
int m_ClassIndex
```
    - m_NumNominal
```
int m_NumNominal
```
    - m_NumNominalValues
```
int m_NumNominalValues
```
    - m_NumNumeric
```
int m_NumNumeric
```
    - m_NumString
```
int m_NumString
```
    - m_NumDate
```
int m_NumDate
```
    - m_NumRelational
```
int m_NumRelational
```
    - m_NumRelationalNominal
```
int m_NumRelationalNominal
```
    - m_NumRelationalNominalValues
```
int m_NumRelationalNominalValues
```
    - m_NumRelationalNumeric
```
int m_NumRelationalNumeric
```
    - m_NumRelationalString
```
int m_NumRelationalString
```
    - m_NumRelationalDate
```
int m_NumRelationalDate
```
    - m_MultiInstance
```
boolean m_MultiInstance
```
    - m_NumInstancesRelational
```
int m_NumInstancesRelational
```
    - m_RelationalFormat
```
weka.core.Instances[] m_RelationalFormat
```
    - m_RelationalClassFormat
```
weka.core.Instances m_RelationalClassFormat
```
    - m_Data
```
weka.core.Instances m_Data
```
    - m_Handler
```
weka.core.CapabilitiesHandler m_Handler
```
- Class weka.core.Trie extends Object implements Serializable
  
  serialVersionUID:
  
  -5897980928817779048L
  - Serialized Fields
    - m_Root
```
weka.core.Trie.TrieNode m_Root
```
    - m_HashCode
```
int m_HashCode
```
    - m_RecalcHashCode
```
boolean m_RecalcHashCode
```
- Class weka.core.Trie.TrieNode extends DefaultMutableTreeNode implements Serializable
  
  serialVersionUID:
  
  -2252907099391881148L
  - Serialized Fields
    - m_Children
```
Hashtable<K,V> m_Children
```
- Class weka.core.UnassignedClassException extends RuntimeException implements Serializable
  
  serialVersionUID:
  
  6268278694768818235L
- Class weka.core.UnassignedDatasetException extends RuntimeException implements Serializable
  
  serialVersionUID:
  
  -9000116786626328854L
- Class weka.core.UnsupportedAttributeTypeException extends weka.core.WekaException implements Serializable
  
  serialVersionUID:
  
  2658987325328414838L
- Class weka.core.UnsupportedClassTypeException extends weka.core.WekaException implements Serializable
  
  serialVersionUID:
  
  5175741076972192151L
- Class weka.core.WekaException extends Exception implements Serializable
  
  serialVersionUID:
  
  6428269989006208585L
Package weka.core.setupgenerator
- Class weka.core.setupgenerator.AbstractParameter extends Object implements Serializable
  
  serialVersionUID:
  
  -941906920843843404L
- Class weka.core.setupgenerator.AbstractPropertyParameter extends AbstractParameter implements Serializable
  
  serialVersionUID:
  
  -941906920843843404L
  - Serialized Fields
    - m_Property
```
String m_Property
```
      the property to test.
- Class weka.core.setupgenerator.FunctionSpaceDimension extends SpaceDimension implements Serializable
  
  serialVersionUID:
  
  -7709016830854739486L
- Class weka.core.setupgenerator.ListParameter extends AbstractPropertyParameter implements Serializable
  
  serialVersionUID:
  
  1415901739037349037L
  - Serialized Fields
    - m_CustomDelimiter
```
String m_CustomDelimiter
```
      the custom list delimiter to use.
    - m_ListStr
```
String m_ListStr
```
      the list string of values.
- Class weka.core.setupgenerator.ListSpaceDimension extends SpaceDimension implements Serializable
  
  serialVersionUID:
  
  -7709016830854739486L
  - Serialized Fields
    - m_List
```
String[] m_List
```
      the underlying list of values.
- Class weka.core.setupgenerator.MathParameter extends AbstractPropertyParameter implements Serializable
  
  serialVersionUID:
  
  6430400142112674316L
  - Serialized Fields
    - m_Min
```
double m_Min
```
      the minimum.
    - m_Max
```
double m_Max
```
      the maximum.
    - m_Step
```
double m_Step
```
      the step.
    - m_Base
```
double m_Base
```
      the base.
    - m_Expression
```
String m_Expression
```
      The expression for the property. Available parameters for the expression:
      
      BASE
      
      FROM (= min)
      
      TO (= max)
      
      STEP
      
      I - the current value (from 'from' to 'to' with stepsize 'step')
      See Also:
      
      MathExpression, MathFunctions, IfElseMacro, JavaMacro
- Class weka.core.setupgenerator.MLPLayersParameter extends AbstractPropertyParameter implements Serializable
  
  serialVersionUID:
  
  -5119694776105238138L
  - Serialized Fields
    - m_MinLayers
```
int m_MinLayers
```
      the minimum numbers of layers.
    - m_MaxLayers
```
int m_MaxLayers
```
      the maximum number of layers.
    - m_MinLayerSize
```
int m_MinLayerSize
```
      the minimum size of each layer
    - m_MaxLayerSize
```
int m_MaxLayerSize
```
      the maximum size of each layer
- Class weka.core.setupgenerator.ParameterGroup extends AbstractParameter implements Serializable
  
  serialVersionUID:
  
  -8833890695683415205L
  - Serialized Fields
    - m_Parameters
```
AbstractParameter[] m_Parameters
```
      the parameters.
- Class weka.core.setupgenerator.Point extends Object implements Serializable
  
  serialVersionUID:
  
  1061326306122503731L
  - Serialized Fields
    - m_Values
```
Object[] m_Values
```
      the values in the various dimensions.
- Class weka.core.setupgenerator.Space extends Object implements Serializable
  
  serialVersionUID:
  
  -481830810204401148L
  - Serialized Fields
    - m_Dimensions
```
SpaceDimension[] m_Dimensions
```
      the dimensions.
- Class weka.core.setupgenerator.SpaceDimension extends Object implements Serializable
  
  serialVersionUID:
  
  -7709016830854739486L
  - Serialized Fields
    - m_Min
```
double m_Min
```
      the minimum on the axis.
    - m_Max
```
double m_Max
```
      the maximum on the axis.
    - m_Step
```
double m_Step
```
      the step size for the axis.
    - m_Label
```
String m_Label
```
      the label for the axis.
    - m_Width
```
int m_Width
```
      the number of points on the axis.

Serialized Form

Package weka.classifiers.meta

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

Serialized Fields

m_Betas

m_NumIterationsPerformed

m_NumItsThisSession

m_WeightThreshold

m_UseResampling

m_NumClasses

m_ZeroR

m_TrainingData

m_RandomInstance

m_resume

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

m_resume

m_numItsPerformed

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.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

m_CostFile

m_CostMatrix

m_MinimizeExpectedCost

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

Serialized Fields

m_ClassifierOptions

m_BestClassifierOptions

m_InitOptions

m_BestPerformance

m_CVParams

m_NumAttributes

m_TrainFoldSize

m_NumFolds

Class weka.classifiers.meta.CVParameterSelection.CVParameter extends Object implements Serializable

Serialized Fields

m_ParamChar

m_Lower

m_Upper

m_Steps

m_ParamValue

m_AddAtEnd

m_RoundParam