Serialized Form
attributes
java.util.Vector<E> attributes
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 |
spModel
ScatterPlotModel spModel
table
javax.swing.JTable table
spModel
ScatterPlotModel spModel
colors
ColourScheme colors
serialVersionUID: 1343300372331771870L
previousWeights
double[][] previousWeights
rate
double rate
pursue
boolean pursue
perturbation
PerturbationPursuit perturbation
colors
ColourScheme colors
spModel
ScatterPlotModel spModel
tableModel
ProjectionTableModel tableModel
model
ScatterPlotModel model
sorter
javax.swing.RowSorter<M> sorter
numAttributeRows
int numAttributeRows
instances
Instances instances
attributeNames
java.lang.String[] attributeNames
- The names of the attributes.
tpp
TPPModel tpp
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
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
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
value
java.lang.String value
max
double max
min
double min
spModel
ScatterPlotModel spModel
selectButtons
java.util.Vector<E> selectButtons
spModel
ScatterPlotModel spModel
grid
java.awt.GridBagConstraints grid
separationAttribute
Attribute separationAttribute
- The attribute that is used for classification
model
TPPModel model
thread
PerturbationPursuitThread thread
- The thread
separateCombo
javax.swing.JComboBox separateCombo
spModel
ScatterPlotModel spModel
thread
PerturbationPursuitThread thread
- The thread
spmodel
ScatterPlotModel spmodel
model
ScatterPlotModel model
Class tpp.TableSorter extends javax.swing.table.AbstractTableModel implements Serializable |
serialVersionUID: 6035577585584109414L
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
serialVersionUID: 3334824488519317796L
explorer
Explorer explorer
dataStructureChangeTriggeredByTPP
boolean dataStructureChangeTriggeredByTPP
Class tpp.TPPFrame extends javax.swing.JFrame implements Serializable |
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 |
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 |
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
Package weka.attributeSelection |
serialVersionUID: 2091705669885950849L
serialVersionUID: 7591673350342236548L
serialVersionUID: 4170171824147584330L
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
serialVersionUID: -5744881009422257389L
serialVersionUID: 7841338689536821867L
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
serialVersionUID: -8236598311516351420L
m_data
java.lang.Object[] m_data
m_merit
double m_merit
serialVersionUID: 3250538292330398929L
m_MaxSize
int m_MaxSize
serialVersionUID: 747878400813276317L
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
serialVersionUID: -8504656625598579926L
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
serialVersionUID: -6312951970168325471L
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
serialVersionUID: 8280529785412054174L
serialVersionUID: -1949849512589218930L
m_missing_merge
boolean m_missing_merge
m_Binarize
boolean m_Binarize
m_InfoGains
double[] m_InfoGains
serialVersionUID: 4386514823886856980L
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
serialVersionUID: -3675307197777734007L
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
serialVersionUID: -9086714848510751934L
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
serialVersionUID: -8422186665795839379L
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
serialVersionUID: -8096505776132296416L
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
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.
serialVersionUID: -4100897318675336178L
serialVersionUID: 627934376267488763L
serialVersionUID: -4573057658746728675L
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 |
serialVersionUID: -7378107808933117974L
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
serialVersionUID: -2368937577670527151L
m_shrinkage
double m_shrinkage
m_NumIterationsPerformed
int m_NumIterationsPerformed
m_zeroR
ZeroR m_zeroR
m_SuitableData
boolean m_SuitableData
serialVersionUID: -5951805453487947577L
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
serialVersionUID: -505879962237199703L
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
serialVersionUID: 4500023123618669859L
m_Classifiers
Classifier[] m_Classifiers
m_ClassFilters
MakeIndicator[] m_ClassFilters
serialVersionUID: -720658209263002404L
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
serialVersionUID: -6529603380876641265L
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
serialVersionUID: -4668812017709421953L
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
serialVersionUID: -4523450618538717400L
m_Filter
Filter m_Filter
m_FilteredInstances
Instances m_FilteredInstances
serialVersionUID: -3905660358715833753L
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
serialVersionUID: -3879602011542849141L
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
serialVersionUID: 5710744346128957520L
m_Classifier
Classifier m_Classifier
m_ClassifierIndex
int m_ClassifierIndex
m_NumXValFolds
int m_NumXValFolds
serialVersionUID: -9204394360557300092L
m_data
Instances m_data
serialVersionUID: 1278172513912424947L
m_SubSpaceSize
double m_SubSpaceSize
m_ZeroR
Classifier m_ZeroR
m_data
Instances m_data
serialVersionUID: 5066426153134050378L
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
serialVersionUID: 5134738557155845452L
m_MetaClassifier
Classifier m_MetaClassifier
m_MetaFormat
Instances m_MetaFormat
m_BaseFormat
Instances m_BaseFormat
m_NumFolds
int m_NumFolds
serialVersionUID: -5951805453487947577L
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
serialVersionUID: -637891196294399624L
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