A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

O

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