Serialized Form


Package tpp

Class tpp.AttributeCombo extends javax.swing.JComboBox implements Serializable

Serialized Fields

attributes

java.util.Vector<E> attributes

Class tpp.ColourScheme extends java.lang.Object implements Serializable

Serialized Fields

backgroundColor

java.awt.Color backgroundColor

foregroundColor

java.awt.Color foregroundColor

axesColor

java.awt.Color axesColor

minColor

java.awt.Color minColor

maxColor

java.awt.Color maxColor

midColor

java.awt.Color midColor

classificationColors

java.awt.Color[] classificationColors

spectrumColors

java.awt.Color[] spectrumColors

description

java.lang.String description

Class tpp.DataViewer extends javax.swing.JFrame implements Serializable

Serialized Fields

spModel

ScatterPlotModel spModel

table

javax.swing.JTable table

Class tpp.DataViewerTable extends javax.swing.JTable implements Serializable

Serialized Fields

spModel

ScatterPlotModel spModel

colors

ColourScheme colors

Class tpp.LinearProjection extends Matrix implements Serializable

serialVersionUID: 1343300372331771870L

Serialized Fields

previousWeights

double[][] previousWeights

rate

double rate

Class tpp.PerturbationPursuitThread extends java.lang.Thread implements Serializable

Serialized Fields

pursue

boolean pursue

perturbation

PerturbationPursuit perturbation

Class tpp.ProjectionTable extends javax.swing.JTable implements Serializable

Serialized Fields

colors

ColourScheme colors

spModel

ScatterPlotModel spModel

tableModel

ProjectionTableModel tableModel

Class tpp.ProjectionTableListSelectionModel extends javax.swing.DefaultListSelectionModel implements Serializable

Serialized Fields

model

ScatterPlotModel model

sorter

javax.swing.RowSorter<M> sorter

Class tpp.ProjectionTableModel extends javax.swing.table.AbstractTableModel implements Serializable

Serialized Fields

numAttributeRows

int numAttributeRows

instances

Instances instances

attributeNames

java.lang.String[] attributeNames
The names of the attributes.


tpp

TPPModel tpp

Class tpp.ScatterPlotControlPanel extends javax.swing.JPanel implements Serializable

Serialized Fields

clusterButton

javax.swing.JButton clusterButton

clusterNumberCombo

javax.swing.JComboBox clusterNumberCombo

selectionPanel

SelectionPanel selectionPanel

seriesIdCombo

AttributeCombo seriesIdCombo

sizeCombo

AttributeCombo sizeCombo

selectCombo

AttributeCombo selectCombo

seriesIndexCombo

AttributeCombo seriesIndexCombo

createSeriesButton

javax.swing.JButton createSeriesButton

smoothSeriesButton

SmoothButton smoothSeriesButton

createTestSetButton

javax.swing.JButton createTestSetButton

createTestSetKCombo

javax.swing.JComboBox createTestSetKCombo

removeTestSetButton

javax.swing.JButton removeTestSetButton

separateButton

SeparatePointsButton separateButton

removeAttributeButton

javax.swing.JButton removeAttributeButton

fillCombo

AttributeCombo fillCombo

shapeCombo

AttributeCombo shapeCombo

applyClassifierButton

javax.swing.AbstractButton applyClassifierButton

classificationTargetCombo

AttributeCombo classificationTargetCombo

markerSlider

javax.swing.JSlider markerSlider

pointSelectorCombo

javax.swing.JComboBox pointSelectorCombo

pointSelectorButton

javax.swing.JButton pointSelectorButton

removeSeriesButton

javax.swing.JButton removeSeriesButton

projectionTable

ProjectionTable projectionTable

spModel

ScatterPlotModel spModel

classifierChooser

GenericObjectEditor classifierChooser

classifierChooserPanel

PropertyPanel classifierChooserPanel

min

java.awt.Dimension min

undoButton

javax.swing.JButton undoButton

Class tpp.ScatterPlotModel extends TPPModel implements Serializable

Serialized Fields

isAxisSelected

boolean[] isAxisSelected
A boolean array that indicates which axes have been selected. The axes correspond to the numeric attributes


colors

ColourScheme colors

markerSize

double markerSize

shapeAttribute

Attribute shapeAttribute
The retinal attributes


colourAttribute

Attribute colourAttribute
The retinal attributes


sizeAttribute

Attribute sizeAttribute
The retinal attributes


fillAttribute

Attribute fillAttribute
The retinal attributes


selectAttribute

Attribute selectAttribute
The retinal attributes


colorAttributeLowerBound

double colorAttributeLowerBound

colorAttributeUpperBound

double colorAttributeUpperBound

sizeAttributeLowerBound

double sizeAttributeLowerBound

sizeAttributeUpperBound

double sizeAttributeUpperBound

snapshots

java.util.Stack<E> snapshots

rectangle

Rectangle rectangle

showAxes

boolean showAxes
Whether or not to show the axes.


showAxisLabels

boolean showAxisLabels
Whether or not to show axis labels.


showTarget

boolean showTarget
Whether to show the target currently being pursued


showSeries

boolean showSeries
whether to show series


showGraph

boolean showGraph

showHierarchicalClustering

boolean showHierarchicalClustering

transform

java.awt.geom.AffineTransform transform
The transform for transforming points from data space to device space


width

int width
The size of the device space


height

int height
The size of the device space

Class tpp.ScatterPlotViewPanel extends javax.swing.JPanel implements Serializable

Serialized Fields

spModel

ScatterPlotModel spModel

jitter

Matrix jitter
Noise added to the view to better separate the points


showJitter

boolean showJitter
whether to add jitter to the view

Class tpp.SelectButton extends javax.swing.JButton implements Serializable

Serialized Fields

value

java.lang.String value

max

double max

min

double min

spModel

ScatterPlotModel spModel

Class tpp.SelectionPanel extends javax.swing.JPanel implements Serializable

Serialized Fields

selectButtons

java.util.Vector<E> selectButtons

spModel

ScatterPlotModel spModel

grid

java.awt.GridBagConstraints grid

Class tpp.SeparatePoints extends java.lang.Object implements Serializable

Serialized Fields

separationAttribute

Attribute separationAttribute
The attribute that is used for classification


model

TPPModel model

Class tpp.SeparatePointsButton extends javax.swing.JButton implements Serializable

Serialized Fields

thread

PerturbationPursuitThread thread
The thread


separateCombo

javax.swing.JComboBox separateCombo

spModel

ScatterPlotModel spModel

Class tpp.SeparatePointsInScatterPlot extends SeparatePoints implements Serializable

Class tpp.SmoothButton extends javax.swing.JButton implements Serializable

Serialized Fields

thread

PerturbationPursuitThread thread
The thread


spmodel

ScatterPlotModel spmodel

Class tpp.SmoothSeries extends java.lang.Object implements Serializable

Serialized Fields

model

ScatterPlotModel model

Class tpp.TableSorter extends javax.swing.table.AbstractTableModel implements Serializable

serialVersionUID: 6035577585584109414L

Serialized Fields

tableModel

javax.swing.table.TableModel tableModel

viewToModel

tpp.TableSorter.Row[] viewToModel

modelToView

int[] modelToView

tableHeader

javax.swing.table.JTableHeader tableHeader

mouseListener

java.awt.event.MouseListener mouseListener

tableModelListener

javax.swing.event.TableModelListener tableModelListener

columnComparators

java.util.Map<K,V> columnComparators

sortingColumns

java.util.List<E> sortingColumns

Class tpp.TPPException extends java.lang.Exception implements Serializable

serialVersionUID: 3334824488519317796L

Class tpp.TPPExplorerPanel extends TPPPanel implements Serializable

Serialized Fields

explorer

Explorer explorer

dataStructureChangeTriggeredByTPP

boolean dataStructureChangeTriggeredByTPP

Class tpp.TPPFrame extends javax.swing.JFrame implements Serializable

Serialized Fields

model

ScatterPlotModel model

bar

javax.swing.JMenuBar bar

viewMenu

javax.swing.JMenu viewMenu

rescaleMenuItem

javax.swing.JMenuItem rescaleMenuItem

fileMenu

javax.swing.JMenu fileMenu

openARFFFileMenuItem

javax.swing.JMenuItem openARFFFileMenuItem

openCSVFileMenuItem

javax.swing.JMenuItem openCSVFileMenuItem

openALNFileMenuItem

javax.swing.JMenuItem openALNFileMenuItem

openFASTAFileMenuItem

javax.swing.JMenuItem openFASTAFileMenuItem

pcaViewMenuItem

javax.swing.JMenuItem pcaViewMenuItem

saveNormalisedViewMenuItem

javax.swing.JMenuItem saveNormalisedViewMenuItem

saveProjectionMenuItem

javax.swing.JMenuItem saveProjectionMenuItem

saveViewDataMenuItem

javax.swing.JMenuItem saveViewDataMenuItem

randomViewMenuItem

javax.swing.JMenuItem randomViewMenuItem

showAxesMenuItem

javax.swing.JRadioButtonMenuItem showAxesMenuItem

showHierarchicalClusteringMenuItem

javax.swing.JRadioButtonMenuItem showHierarchicalClusteringMenuItem

viewPanel

ScatterPlotViewPanel viewPanel

controlPanel

ScatterPlotControlPanel controlPanel

darkBackgroundMenuItem

javax.swing.JMenuItem darkBackgroundMenuItem

showTargetMenuItem

javax.swing.JRadioButtonMenuItem showTargetMenuItem

saveSVGMenuItem

javax.swing.JMenuItem saveSVGMenuItem

saveEPSMenuItem

javax.swing.JMenuItem saveEPSMenuItem

addNoiseMenuItem

javax.swing.JMenuItem addNoiseMenuItem

loadGraphMenuItem

javax.swing.JMenuItem loadGraphMenuItem

removeGraphMenuItem

javax.swing.JMenuItem removeGraphMenuItem

showDataViewerMenuItem

javax.swing.JMenuItem showDataViewerMenuItem

dataViewer

DataViewer dataViewer

helpMenuItem

javax.swing.JMenuItem helpMenuItem

Class tpp.TPPModel extends java.lang.Object implements Serializable

Serialized Fields

view

Matrix view
The current view of the data


target

Matrix target
The current target view of the data


instances

Instances instances
The underlying data.


data

Matrix data
The numeric, normalised, filtered data


projection

LinearProjection projection
The projection from the higher dimensional data to the view.


distances

Matrix distances

test

Attribute test
The attribute that indicates which instances are in the test set, if any


constraint

ProjectionConstraint constraint

separationAttribute

Attribute separationAttribute
Whichever attribute used to separate points by


hierarchicalClustering

HierarchicalCluster hierarchicalClustering
A hierarchical clustering of the instances


selectedPoints

boolean[] selectedPoints
A boolean array that indicates which points have been selected


numViewDimensions

int numViewDimensions
The number of view dimensions


allCentroids

java.util.HashMap<K,V> allCentroids
The centroids of the classes, keyed by the attribute that defines the classes that those centroids were defined over


graph

Graph graph

listeners

java.util.Vector<E> listeners

numericAttributes

java.util.Vector<E> numericAttributes

descriptionAttribute

Attribute descriptionAttribute

series

Series series

Class tpp.TPPPanel extends javax.swing.JPanel implements Serializable

Serialized Fields

model

ScatterPlotModel model

viewPanel

ScatterPlotViewPanel viewPanel

controlPanel

ScatterPlotControlPanel controlPanel

dataViewer

DataViewer dataViewer

splitPane

javax.swing.JSplitPane splitPane

rhPanel

javax.swing.JPanel rhPanel

fileCombo

javax.swing.JComboBox fileCombo

viewCombo

javax.swing.JComboBox viewCombo

helpButton

javax.swing.JButton helpButton

Class tpp.TPPPerspective extends TPPPanel implements Serializable


Package weka.attributeSelection

Class weka.attributeSelection.ASEvaluation extends java.lang.Object implements Serializable

serialVersionUID: 2091705669885950849L

Class weka.attributeSelection.ASSearch extends java.lang.Object implements Serializable

serialVersionUID: 7591673350342236548L

Class weka.attributeSelection.AttributeSelection extends java.lang.Object implements Serializable

serialVersionUID: 4170171824147584330L

Serialized Fields

m_trainInstances

Instances m_trainInstances

m_ASEvaluator

ASEvaluation m_ASEvaluator

m_searchMethod

ASSearch m_searchMethod

m_numFolds

int m_numFolds

m_selectionResults

java.lang.StringBuffer m_selectionResults

m_doRank

boolean m_doRank

m_doXval

boolean m_doXval

m_seed

int m_seed

m_numToSelect

int m_numToSelect

m_selectedAttributeSet

int[] m_selectedAttributeSet

m_attributeRanking

double[][] m_attributeRanking

m_transformer

AttributeTransformer m_transformer

m_attributeFilter

Remove m_attributeFilter

m_rankResults

double[][] m_rankResults

m_subsetResults

double[] m_subsetResults

m_trials

int m_trials

Class weka.attributeSelection.AttributeSetEvaluator extends ASEvaluation implements Serializable

serialVersionUID: -5744881009422257389L

Class weka.attributeSelection.BestFirst extends ASSearch implements Serializable

serialVersionUID: 7841338689536821867L

Serialized Fields

m_maxStale

int m_maxStale

m_searchDirection

int m_searchDirection

m_starting

int[] m_starting

m_startRange

Range m_startRange

m_hasClass

boolean m_hasClass

m_classIndex

int m_classIndex

m_numAttribs

int m_numAttribs

m_totalEvals

int m_totalEvals

m_debug

boolean m_debug

m_bestMerit

double m_bestMerit

m_cacheSize

int m_cacheSize

Class weka.attributeSelection.BestFirst.Link2 extends java.lang.Object implements Serializable

serialVersionUID: -8236598311516351420L

Serialized Fields

m_data

java.lang.Object[] m_data

m_merit

double m_merit

Class weka.attributeSelection.BestFirst.LinkedList2 extends FastVector implements Serializable

serialVersionUID: 3250538292330398929L

Serialized Fields

m_MaxSize

int m_MaxSize

Class weka.attributeSelection.CfsSubsetEval extends ASEvaluation implements Serializable

serialVersionUID: 747878400813276317L

Serialized Fields

m_trainInstances

Instances m_trainInstances

m_disTransform

Discretize m_disTransform

m_classIndex

int m_classIndex

m_isNumeric

boolean m_isNumeric

m_numAttribs

int m_numAttribs

m_numInstances

int m_numInstances

m_missingSeparate

boolean m_missingSeparate

m_locallyPredictive

boolean m_locallyPredictive

m_corr_matrix

float[][] m_corr_matrix

m_std_devs

double[] m_std_devs

m_c_Threshold

double m_c_Threshold

Class weka.attributeSelection.GainRatioAttributeEval extends ASEvaluation implements Serializable

serialVersionUID: -8504656625598579926L

Serialized Fields

m_trainInstances

Instances m_trainInstances

m_classIndex

int m_classIndex

m_numAttribs

int m_numAttribs

m_numInstances

int m_numInstances

m_numClasses

int m_numClasses

m_missing_merge

boolean m_missing_merge

Class weka.attributeSelection.GreedyStepwise extends ASSearch implements Serializable

serialVersionUID: -6312951970168325471L

Serialized Fields

m_hasClass

boolean m_hasClass

m_classIndex

int m_classIndex

m_numAttribs

int m_numAttribs

m_rankingRequested

boolean m_rankingRequested

m_doRank

boolean m_doRank

m_doneRanking

boolean m_doneRanking

m_threshold

double m_threshold

m_numToSelect

int m_numToSelect

m_calculatedNumToSelect

int m_calculatedNumToSelect

m_bestMerit

double m_bestMerit

m_rankedAtts

double[][] m_rankedAtts

m_rankedSoFar

int m_rankedSoFar

m_best_group

java.util.BitSet m_best_group

m_ASEval

ASEvaluation m_ASEval

m_Instances

Instances m_Instances

m_startRange

Range m_startRange

m_starting

int[] m_starting

m_backward

boolean m_backward

m_conservativeSelection

boolean m_conservativeSelection

Class weka.attributeSelection.HoldOutSubsetEvaluator extends ASEvaluation implements Serializable

serialVersionUID: 8280529785412054174L

Class weka.attributeSelection.InfoGainAttributeEval extends ASEvaluation implements Serializable

serialVersionUID: -1949849512589218930L

Serialized Fields

m_missing_merge

boolean m_missing_merge

m_Binarize

boolean m_Binarize

m_InfoGains

double[] m_InfoGains

Class weka.attributeSelection.OneRAttributeEval extends ASEvaluation implements Serializable

serialVersionUID: 4386514823886856980L

Serialized Fields

m_trainInstances

Instances m_trainInstances

m_classIndex

int m_classIndex

m_numAttribs

int m_numAttribs

m_numInstances

int m_numInstances

m_randomSeed

int m_randomSeed

m_folds

int m_folds

m_evalUsingTrainingData

boolean m_evalUsingTrainingData

m_minBucketSize

int m_minBucketSize

Class weka.attributeSelection.PrincipalComponents extends UnsupervisedAttributeEvaluator implements Serializable

serialVersionUID: -3675307197777734007L

Serialized Fields

m_trainInstances

Instances m_trainInstances

m_trainHeader

Instances m_trainHeader

m_transformedFormat

Instances m_transformedFormat

m_originalSpaceFormat

Instances m_originalSpaceFormat

m_hasClass

boolean m_hasClass

m_classIndex

int m_classIndex

m_numAttribs

int m_numAttribs

m_numInstances

int m_numInstances

m_correlation

double[][] m_correlation

m_means

double[] m_means

m_stdDevs

double[] m_stdDevs

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

ReplaceMissingValues m_replaceMissingFilter

m_nominalToBinFilter

NominalToBinary m_nominalToBinFilter

m_attributeFilter

Remove m_attributeFilter

m_centerFilter

Center m_centerFilter

m_standardizeFilter

Standardize m_standardizeFilter

m_outputNumAtts

int m_outputNumAtts

m_coverVariance

double m_coverVariance

m_transBackToOriginal

boolean m_transBackToOriginal

m_maxAttrsInName

int m_maxAttrsInName

m_eTranspose

double[][] m_eTranspose

Class weka.attributeSelection.Ranker extends ASSearch implements Serializable

serialVersionUID: -9086714848510751934L

Serialized Fields

m_starting

int[] m_starting

m_startRange

Range m_startRange

m_attributeList

int[] m_attributeList

m_attributeMerit

double[] m_attributeMerit

m_hasClass

boolean m_hasClass

m_classIndex

int m_classIndex

m_numAttribs

int m_numAttribs

m_threshold

double m_threshold

m_numToSelect

int m_numToSelect

m_calculatedNumToSelect

int m_calculatedNumToSelect

Class weka.attributeSelection.ReliefFAttributeEval extends ASEvaluation implements Serializable

serialVersionUID: -8422186665795839379L

Serialized Fields

m_trainInstances

Instances m_trainInstances

m_classIndex

int m_classIndex

m_numAttribs

int m_numAttribs

m_numInstances

int m_numInstances

m_numericClass

boolean m_numericClass

m_numClasses

int m_numClasses

m_ndc

double m_ndc

m_nda

double[] m_nda

m_ndcda

double[] m_ndcda

m_weights

double[] m_weights

m_classProbs

double[] m_classProbs

m_sampleM

int m_sampleM

m_Knn

int m_Knn

m_karray

double[][][] m_karray

m_maxArray

double[] m_maxArray

m_minArray

double[] m_minArray

m_worst

double[] m_worst

m_index

int[] m_index

m_stored

int[] m_stored

m_seed

int m_seed

m_weightsByRank

double[] m_weightsByRank

m_sigma

int m_sigma

m_weightByDistance

boolean m_weightByDistance

Class weka.attributeSelection.SymmetricalUncertAttributeEval extends ASEvaluation implements Serializable

serialVersionUID: -8096505776132296416L

Serialized Fields

m_trainInstances

Instances m_trainInstances

m_classIndex

int m_classIndex

m_numAttribs

int m_numAttribs

m_numInstances

int m_numInstances

m_numClasses

int m_numClasses

m_missing_merge

boolean m_missing_merge

Class weka.attributeSelection.TPPAttributeEvaluation extends ASEvaluation implements Serializable

Class weka.attributeSelection.TPPAttributeSearch extends ASSearch implements Serializable

Serialized Fields

separator

SeparatePoints separator

epochLimit

int epochLimit

convergenceLimit

double convergenceLimit

numOutputDimensions

int numOutputDimensions
The number of output dimensions (default=2)


attributeScores

double[] attributeScores
The ranked scores of the attributes


attributeIndices

int[] attributeIndices
The ranked indices of the attributes


numToSelect

int numToSelect
The number of attributes to select


numToPreSelect

int numToPreSelect
The number of attributes to pre-select


showView

boolean showView
Whether to show the projections as they are calculated.


threshold

double threshold
The threshold for selecting attributes


model

ScatterPlotModel model

currentProjection

Matrix currentProjection

previousProjection

Matrix previousProjection

epochs

int epochs
The number of times that the pursuit process has been tried.

Class weka.attributeSelection.UnsupervisedAttributeEvaluator extends ASEvaluation implements Serializable

serialVersionUID: -4100897318675336178L

Class weka.attributeSelection.UnsupervisedSubsetEvaluator extends ASEvaluation implements Serializable

serialVersionUID: 627934376267488763L

Class weka.attributeSelection.WrapperSubsetEval extends ASEvaluation implements Serializable

serialVersionUID: -4573057658746728675L

Serialized Fields

m_trainInstances

Instances m_trainInstances

m_classIndex

int m_classIndex

m_numAttribs

int m_numAttribs

m_numInstances

int m_numInstances

m_Evaluation

Evaluation m_Evaluation

m_BaseClassifier

Classifier m_BaseClassifier

m_folds

int m_folds

m_seed

int m_seed

m_threshold

double m_threshold

m_evaluationMeasure

int m_evaluationMeasure

Package weka.classifiers.meta

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

serialVersionUID: -7378107808933117974L

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

Classifier m_ZeroR

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

serialVersionUID: -2368937577670527151L

Serialized Fields

m_shrinkage

double m_shrinkage

m_NumIterationsPerformed

int m_NumIterationsPerformed

m_zeroR

ZeroR m_zeroR

m_SuitableData

boolean m_SuitableData

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

serialVersionUID: -5951805453487947577L

Serialized Fields

m_AttributeSelection

AttributeSelection m_AttributeSelection

m_Evaluator

ASEvaluation m_Evaluator

m_Search

ASSearch m_Search

m_ReducedHeader

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 RandomizableParallelIteratedSingleClassifierEnhancer implements Serializable

serialVersionUID: -505879962237199703L

Serialized Fields

m_BagSizePercent

int m_BagSizePercent

m_CalcOutOfBag

boolean m_CalcOutOfBag

m_OutOfBagError

double m_OutOfBagError

m_random

java.util.Random m_random

m_inBag

boolean[][] m_inBag

m_data

Instances m_data

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

serialVersionUID: 4500023123618669859L

Serialized Fields

m_Classifiers

Classifier[] m_Classifiers

m_ClassFilters

MakeIndicator[] m_ClassFilters

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

serialVersionUID: -720658209263002404L

Serialized Fields

m_MatrixSource

int m_MatrixSource

m_OnDemandDirectory

java.io.File m_OnDemandDirectory

m_CostFile

java.lang.String m_CostFile

m_CostMatrix

CostMatrix m_CostMatrix

m_MinimizeExpectedCost

boolean m_MinimizeExpectedCost

Class weka.classifiers.meta.CVParameterSelection extends 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

FastVector<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

char 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 SingleClassifierEnhancer implements Serializable

serialVersionUID: -4523450618538717400L

Serialized Fields

m_Filter

Filter m_Filter

m_FilteredInstances

Instances m_FilteredInstances

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

serialVersionUID: -3905660358715833753L

Serialized Fields

m_Classifiers

Classifier[][] m_Classifiers

m_NumClasses

int m_NumClasses

m_NumGenerated

int m_NumGenerated

m_NumFolds

int m_NumFolds

m_NumRuns

int m_NumRuns

m_WeightThreshold

int m_WeightThreshold

m_NumericClassData

Instances m_NumericClassData

m_ClassAttribute

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

Classifier m_ZeroR

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

serialVersionUID: -3879602011542849141L

Serialized Fields

m_Classifiers

Classifier[] m_Classifiers

m_pairwiseCoupling

boolean m_pairwiseCoupling

m_SumOfWeights

double[] m_SumOfWeights

m_ClassFilters

Filter[] m_ClassFilters

m_ZeroR

ZeroR m_ZeroR

m_ClassAttribute

Attribute m_ClassAttribute

m_TwoClassDataset

Instances m_TwoClassDataset

m_RandomWidthFactor

double m_RandomWidthFactor

m_Method

int m_Method

Class weka.classifiers.meta.MultiScheme extends RandomizableMultipleClassifiersCombiner implements Serializable

serialVersionUID: 5710744346128957520L

Serialized Fields

m_Classifier

Classifier m_Classifier

m_ClassifierIndex

int m_ClassifierIndex

m_NumXValFolds

int m_NumXValFolds

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

serialVersionUID: -9204394360557300092L

Serialized Fields

m_data

Instances m_data

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

serialVersionUID: 1278172513912424947L

Serialized Fields

m_SubSpaceSize

double m_SubSpaceSize

m_ZeroR

Classifier m_ZeroR

m_data

Instances m_data

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

serialVersionUID: 5066426153134050378L

Serialized Fields

m_Discretizer

Discretize m_Discretizer

m_NumBins

int m_NumBins

m_ClassMeans

double[] m_ClassMeans

m_ClassCounts

int[] m_ClassCounts

m_DeleteEmptyBins

boolean m_DeleteEmptyBins

m_DiscretizedHeader

Instances m_DiscretizedHeader

m_UseEqualFrequency

boolean m_UseEqualFrequency

m_MinimizeAbsoluteError

boolean m_MinimizeAbsoluteError

m_estimatorType

int m_estimatorType

m_OriginalTargetValues

double[] m_OriginalTargetValues

m_NewTargetValues

int[] m_NewTargetValues

Class weka.classifiers.meta.Stacking extends RandomizableParallelMultipleClassifiersCombiner implements Serializable

serialVersionUID: 5134738557155845452L

Serialized Fields

m_MetaClassifier

Classifier m_MetaClassifier

m_MetaFormat

Instances m_MetaFormat

m_BaseFormat

Instances m_BaseFormat

m_NumFolds

int m_NumFolds

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

serialVersionUID: -5951805453487947577L

Serialized Fields

m_AttributeSelection

AttributeSelection m_AttributeSelection
The attribute selection object


m_Evaluator

ASEvaluation m_Evaluator
The attribute evaluator to use


m_Search

ASSearch m_Search
The search method to use


m_ReducedHeader

Instances m_ReducedHeader
The header of the dimensionally reduced data


m_numClasses

int m_numClasses
The number of class vals in the training data (1 if class is numeric)


m_numAttributesSelected

double m_numAttributesSelected
The number of attributes selected by the attribute selection phase


m_selectionTime

double m_selectionTime
The time taken to select attributes in milliseconds


m_totalTime

double m_totalTime
The time taken to select attributes AND build the classifier

Class weka.classifiers.meta.Vote extends RandomizableMultipleClassifiersCombiner implements Serializable

serialVersionUID: -637891196294399624L

Serialized Fields

m_CombinationRule

int m_CombinationRule

m_Random

java.util.Random m_Random

m_classifiersToLoad

java.util.List<E> m_classifiersToLoad

m_preBuiltClassifiers

java.util.List<E> m_preBuiltClassifiers