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O

ObfuscateFilter class weka.filters.ObfuscateFilter.
A simple instance filter that renames the relation, all attribute names and all nominal (and string) attribute values.
ObfuscateFilter(). Constructor for class weka.filters.ObfuscateFilter
OFF. Static variable in interface weka.classifiers.kstar.KStarConstants
oldEnt(Distribution). Method in class weka.classifiers.j48.EntropyBasedSplitCrit
Computes entropy of distribution before splitting.
ON. Static variable in interface weka.classifiers.kstar.KStarConstants
Some usefull constants
onDemandDirectoryTipText(). Method in class weka.classifiers.CostSensitiveClassifier
onDemandDirectoryTipText(). Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
Returns the tip text for this property
OneR class weka.classifiers.OneR.
Class for building and using a 1R classifier.
OneR(). Constructor for class weka.classifiers.OneR
OneRAttributeEval class weka.attributeSelection.OneRAttributeEval.
Class for Evaluating attributes individually by using the OneR classifier.
OneRAttributeEval(). Constructor for class weka.attributeSelection.OneRAttributeEval
Constructor
onUnit(Graphics, int, int, int, int). Method in class weka.classifiers.neural.NeuralConnection
Call this function to determine if the point at x,y is on the unit.
openFrame(String). Method in class weka.gui.ResultHistoryPanel
Opens the named result in a separate frame.
OPTIMIZE_0. Static variable in class weka.classifiers.ThresholdSelector
OPTIMIZE_1. Static variable in class weka.classifiers.ThresholdSelector
OPTIMIZE_LFREQ. Static variable in class weka.classifiers.ThresholdSelector
OPTIMIZE_MFREQ. Static variable in class weka.classifiers.ThresholdSelector
OPTIMIZE_POS_NAME. Static variable in class weka.classifiers.ThresholdSelector
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.
Options class weka.classifiers.m5.Options.
Class for handing options
Options(Instances). Constructor for class weka.classifiers.m5.Options
Options(String[]). Constructor for class weka.classifiers.m5.Options
Constructs an object to store command line options and other necessary information
orderAdded. Variable in class weka.classifiers.adtree.Splitter
The number this node was in the order of nodes added to the tree
OUTPUT. Static variable in class weka.classifiers.neural.NeuralConnection
This unit is an output unit.
output(). Method in class weka.filters.Filter
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
outputFormat(). Method in class weka.gui.streams.InstanceLoader
outputFormat(). Method in class weka.gui.streams.InstanceJoiner
Gets the format of the output instances.
outputFormat(). Method in interface weka.gui.streams.InstanceProducer
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.gui.streams.InstanceLoader
outputPeek(). Method in class weka.gui.streams.InstanceJoiner
Output an instance after filtering but do not remove from the output queue.
outputPeek(). Method in interface weka.gui.streams.InstanceProducer
outputValue(boolean). Method in class weka.classifiers.neural.NeuralConnection
Call this to get the output value of this unit.
outputValue(boolean). Method in class weka.classifiers.neural.NeuralNode
Call this to get the output value of this unit.
outputValue(NeuralNode). Method in class weka.classifiers.neural.LinearUnit
This function calculates what the output value should be.
outputValue(NeuralNode). Method in class weka.classifiers.neural.SigmoidUnit
This function calculates what the output value should be.
outputValue(NeuralNode). Method in interface weka.classifiers.neural.NeuralMethod
This function calculates what the output value should be.
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.
OVAL. Static variable in class weka.gui.visualize.VisualizePanelEvent

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