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OFF
- Static variable in interface weka.classifiers.lazy.kstar.
KStarConstants
ON
- Static variable in interface weka.classifiers.lazy.kstar.
KStarConstants
Some usefull constants
OPERATORS
- Static variable in class weka.filters.unsupervised.attribute.
AddExpression
Supported operators. l = log, b = abs, c = cos, e = exp, s = sqrt, f = floor, h = ceil, r = rint, t = tan, n = sin
OPTIMIZE_0
- Static variable in class weka.classifiers.meta.
ThresholdSelector
OPTIMIZE_1
- Static variable in class weka.classifiers.meta.
ThresholdSelector
OPTIMIZE_LFREQ
- Static variable in class weka.classifiers.meta.
ThresholdSelector
OPTIMIZE_MFREQ
- Static variable in class weka.classifiers.meta.
ThresholdSelector
OPTIMIZE_POS_NAME
- Static variable in class weka.classifiers.meta.
ThresholdSelector
ORDERED
- Static variable in class weka.datagenerators.
BIRCHCluster
ORDERING_MODULO
- Static variable in class weka.core.
Attribute
Constant set for modulo-ordered attributes.
ORDERING_ORDERED
- Static variable in class weka.core.
Attribute
Constant set for ordered attributes.
ORDERING_SYMBOLIC
- Static variable in class weka.core.
Attribute
Constant set for symbolic attributes.
OUT
- Static variable in class weka.associations.
Tertius
OUTPUT
- Static variable in class weka.classifiers.functions.neural.
NeuralConnection
This unit is an output unit.
OVAL
- Static variable in class weka.gui.visualize.
VisualizePanelEvent
Obfuscate
- class weka.filters.unsupervised.attribute.
Obfuscate
.
A simple instance filter that renames the relation, all attribute names and all nominal (and string) attribute values.
Obfuscate()
- Constructor for class weka.filters.unsupervised.attribute.
Obfuscate
OneR
- class weka.classifiers.rules.
OneR
.
Class for building and using a 1R classifier.
OneR()
- Constructor for class weka.classifiers.rules.
OneR
OneR.OneRRule
- class weka.classifiers.rules.
OneR.OneRRule
.
Class for storing store a 1R rule.
OneR.OneRRule(Instances, Attribute)
- Constructor for class weka.classifiers.rules.
OneR.OneRRule
Constructor for nominal attribute.
OneR.OneRRule(Instances, Attribute, int)
- Constructor for class weka.classifiers.rules.
OneR.OneRRule
Constructor for numeric attribute.
OneRAttributeEval
- class weka.attributeSelection.
OneRAttributeEval
.
Class for Evaluating attributes individually by using the OneR classifier.
OneRAttributeEval()
- Constructor for class weka.attributeSelection.
OneRAttributeEval
Constructor
Optimization
- class weka.core.
Optimization
.
Implementation of Active-sets method with BFGS update to solve optimization problem with only bounds constraints in multi-dimensions.
Optimization()
- Constructor for class weka.core.
Optimization
Option
- class weka.core.
Option
.
Class to store information about an option.
Option(String, String, int, String)
- Constructor for class weka.core.
Option
Creates new option with the given parameters.
OptionHandler
- interface weka.core.
OptionHandler
.
Interface to something that understands options.
OrdinalClassClassifier
- class weka.classifiers.meta.
OrdinalClassClassifier
.
Meta classifier for transforming an ordinal class problem to a series of binary class problems.
OrdinalClassClassifier()
- Constructor for class weka.classifiers.meta.
OrdinalClassClassifier
OutputZipper
- class weka.experiment.
OutputZipper
.
OutputZipper writes output to either gzipped files or to a multi entry zip file.
OutputZipper(File)
- Constructor for class weka.experiment.
OutputZipper
Constructor.
objFun()
- Method in class weka.classifiers.functions.
SMOreg
Debuggage function.
objFun(int, int, double, double, double, double)
- Method in class weka.classifiers.functions.
SMOreg
Debuggage function.
objectStrings(StringBuffer)
- Method in class weka.classifiers.trees.
UserClassifier.TreeClass
This will append the class Object in the tree to the string buffer.
objectiveFunction(double[])
- Method in class weka.classifiers.functions.
Logistic.OptEng
Evaluate objective function
objectiveFunction(double[])
- Method in class weka.core.
Optimization
observedComparator
- Static variable in class weka.associations.tertius.
Rule
Comparator used to compare two rules according to their observed number of counter-instances.
obtainVotes(Instance)
- Method in class weka.classifiers.functions.
SMO
Returns an array of votes for the given instance.
oldEnt(Distribution)
- Method in class weka.classifiers.trees.j48.
EntropyBasedSplitCrit
Computes entropy of distribution before splitting.
olsEstimator
- Static variable in class weka.classifiers.functions.
PaceRegression
olscEstimator
- Static variable in class weka.classifiers.functions.
PaceRegression
olscThreshold
- Variable in class weka.classifiers.functions.
PaceRegression
onDemandDirectoryTipText()
- Method in class weka.classifiers.meta.
CostSensitiveClassifier
onDemandDirectoryTipText()
- Method in class weka.classifiers.meta.
MetaCost
Returns the tip text for this property
onDemandDirectoryTipText()
- Method in class weka.experiment.
CostSensitiveClassifierSplitEvaluator
Returns the tip text for this property
onUnit(Graphics, int, int, int, int)
- Method in class weka.classifiers.functions.
MultilayerPerceptron.NeuralEnd
Call this function to determine if the point at x,y is on the unit.
onUnit(Graphics, int, int, int, int)
- Method in class weka.classifiers.functions.neural.
NeuralConnection
Call this function to determine if the point at x,y is on the unit.
onlyAlphabeticTokensTipText()
- Method in class weka.filters.unsupervised.attribute.
StringToWordVector
Returns the tip text for this property.
openExperiment()
- Method in class weka.gui.experiment.
SetupPanel
Prompts the user to select an experiment file and loads it.
openExperiment()
- Method in class weka.gui.experiment.
SimpleSetupPanel
Prompts the user to select an experiment file and loads it.
openFrame(String)
- Method in class weka.gui.
ResultHistoryPanel
Opens the named result in a separate frame.
openHelpFrame()
- Method in class weka.gui.
PropertySheetPanel
openMatrix()
- Method in class weka.gui.
CostMatrixEditor.CustomEditor
Prompts the user to open a matrix, and attemps to load it.
openObject()
- Method in class weka.gui.
GenericObjectEditor.GOEPanel
Opens an object from a file selected by the user.
optimisticComparator
- Static variable in class weka.associations.tertius.
Rule
Comparator used to compare two rules according to their optimistic estimate.
optimisticThenObservedComparator
- Static variable in class weka.associations.tertius.
Rule
Comparator used to compare two rules according to their optimistic estimate and then their observed number of counter-instances.
optimizationsTipText()
- Method in class weka.classifiers.rules.
JRip
Returns the tip text for this property
optionsPanel
- Variable in class weka.gui.visualize.
MatrixPanel
The panel that contains all the buttons and tools, i.e. resize, jitter bars and sub-sampling buttons etc on the bottom of the panel
order
- Variable in class weka.classifiers.trees.m5.
Impurity
orderAdded
- Variable in class weka.classifiers.trees.adtree.
Splitter
The number this node was in the order of nodes added to the tree
ordering()
- Method in class weka.core.
Attribute
Returns the ordering of the attribute.
origDist
- Variable in class weka.gui.visualize.
MatrixPanel
For selecting same class distribution in the subsample as in the input
origNodesSize
- Variable in class weka.gui.graphvisualizer.
HierarchicalBCEngine
This contains the original size of the nodes vector when it was passed in through the constructor, before adding all the dummy vertices
originalValue(double)
- Method in class weka.filters.supervised.attribute.
ClassOrder
Return the original internal class value given the randomized class value, i.e. the string presentations of the two indices are the same.
outcomes
- Variable in class weka.gui.graphvisualizer.
GraphNode
The outcomes for the given node
output()
- Method in class weka.filters.
Filter
Output an instance after filtering and remove from the output queue.
output()
- Method in class weka.filters.unsupervised.attribute.
RemoveType
Output an instance after filtering and remove from the output queue.
outputFileTipText()
- Method in class weka.experiment.
CSVResultListener
Returns the tip text for this property
outputFileTipText()
- Method in class weka.experiment.
CrossValidationResultProducer
Returns the tip text for this property
outputFileTipText()
- Method in class weka.experiment.
RandomSplitResultProducer
Returns the tip text for this property
outputFormat()
- Method in class weka.filters.
Filter
Deprecated.
use
getOutputFormat()
instead.
outputFormat()
- Method in class weka.gui.streams.
InstanceJoiner
Gets the format of the output instances.
outputFormat()
- Method in class weka.gui.streams.
InstanceLoader
outputFormat()
- Method in interface weka.gui.streams.
InstanceProducer
outputFormatPeek()
- Method in class weka.filters.
Filter
Returns a reference to the current output format without copying it.
outputPeek()
- Method in class weka.filters.
Filter
Output an instance after filtering but do not remove from the output queue.
outputPeek()
- Method in class weka.filters.unsupervised.attribute.
RemoveType
Output an instance after filtering but do not remove from the output queue.
outputPeek()
- Method in class weka.gui.streams.
InstanceJoiner
Output an instance after filtering but do not remove from the output queue.
outputPeek()
- Method in class weka.gui.streams.
InstanceLoader
outputPeek()
- Method in interface weka.gui.streams.
InstanceProducer
outputValue(boolean)
- Method in class weka.classifiers.functions.
MultilayerPerceptron.NeuralEnd
Call this to get the output value of this unit.
outputValue(NeuralNode)
- Method in class weka.classifiers.functions.neural.
LinearUnit
This function calculates what the output value should be.
outputValue(boolean)
- Method in class weka.classifiers.functions.neural.
NeuralConnection
Call this to get the output value of this unit.
outputValue(NeuralNode)
- Method in interface weka.classifiers.functions.neural.
NeuralMethod
This function calculates what the output value should be.
outputValue(boolean)
- Method in class weka.classifiers.functions.neural.
NeuralNode
Call this to get the output value of this unit.
outputValue(NeuralNode)
- Method in class weka.classifiers.functions.neural.
SigmoidUnit
This function calculates what the output value should be.
outputWordCountsTipText()
- Method in class weka.filters.unsupervised.attribute.
StringToWordVector
Returns the tip text for this property
outputWriter
- Variable in class weka.gui.streams.
InstanceSavePanel
overFrequencyThreshold(double)
- Method in class weka.associations.tertius.
LiteralSet
Test if this LiteralSet has more counter-instances than the threshold.
overFrequencyThreshold(double)
- Method in class weka.associations.tertius.
Rule
Test if this rule is over the frequency threshold.
overflow(int)
- Method in class weka.datagenerators.
BIRCHCluster.GridVector
overlap(int)
- Method in class weka.gui.treevisualizer.
PlaceNode2
This will find an overlap and then return information about that overlap
overlaps(NNge.Exemplar)
- Method in class weka.classifiers.rules.
NNge.Exemplar
Check if the Examplar overlaps ex
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