All Packages Class Hierarchy
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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
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- OFF.
Static variable in interface weka.classifiers.kstar.KStarConstants
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- 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
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- 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
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- 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
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- OPTIMIZE_1.
Static variable in class weka.classifiers.ThresholdSelector
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- OPTIMIZE_LFREQ.
Static variable in class weka.classifiers.ThresholdSelector
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- OPTIMIZE_MFREQ.
Static variable in class weka.classifiers.ThresholdSelector
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- OPTIMIZE_POS_NAME.
Static variable in class weka.classifiers.ThresholdSelector
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- 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
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- 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
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- outputFormat().
Method in class weka.gui.streams.InstanceLoader
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- outputFormat().
Method in class weka.gui.streams.InstanceJoiner
- Gets the format of the output instances.
- outputFormat().
Method in interface weka.gui.streams.InstanceProducer
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- 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
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- 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
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- 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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All Packages Class Hierarchy