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S

safeModelToDiskAfterLearningTipText() - Method in class weka.classifiers.rules.FR3
 
saveImage(String) - Method in class weka.gui.extensions.PreferenceStructurePanel
 
saveModel(Classifier, String) - Method in class weka.classifiers.rules.FR3
A function which saves a given model to disk
seedTipText() - Method in class weka.classifiers.rules.FRIP
Returns the tip text for this property
serialVersionUID - Static variable in class weka.classifiers.rules.FR3
for serialization
serialVersionUID - Static variable in class weka.classifiers.rules.FRIP.NominalAntd
for serialization
serialVersionUID - Static variable in class weka.classifiers.rules.FRIP.NumericAntd
for serialization
serialVersionUID - Static variable in class weka.classifiers.rules.FRIP.RipperRule
for serialization
serialVersionUID - Static variable in class weka.classifiers.rules.FRIP
for serialization
serialVersionUID - Static variable in class weka.gui.extensions.PreferenceStructurePanel.PlotPanel
for serialization
serialVersionUID - Static variable in class weka.gui.extensions.PreferenceStructurePanel
for serialization
serialVersionUID - Static variable in class weka.gui.extensions.PreferenceStructureVisualizer.AxisPanel
for serialization
serialVersionUID - Static variable in class weka.gui.extensions.PreferenceStructureVisualizer
for serialization
setCheckErrorRate(boolean) - Method in class weka.classifiers.rules.FRIP
Sets whether to check for error rate is in stopping criterion
setClassifier(Classifier) - Method in class weka.gui.extensions.PreferenceStructurePanel
Set the classifier to use.
setClassifier(Classifier) - Method in class weka.gui.extensions.PreferenceStructureVisualizer
Set a classifier to use
setConsequent(double) - Method in class weka.classifiers.rules.FRIP.RipperRule
Sets the internal representation of the class label to be predicted
setControlEnabledStatus(boolean) - Method in class weka.gui.extensions.PreferenceStructureVisualizer
Set the enabled status of the controls
setDataspaceEdges(double[][]) - Method in class weka.classifiers.rules.FRIP
Sets the edges of the dataspace
setDebug(boolean) - Method in class weka.classifiers.rules.FRIP
Sets whether debug information is output to the console
setExitIfNoWindowsOpen(boolean) - Static method in class weka.gui.extensions.PreferenceStructureVisualizer
Sets whether System.exit gets called when no more windows are open.
setFolds(int) - Method in class weka.classifiers.rules.FRIP
Sets the number of folds to use
setInstances(Instances) - Method in class weka.gui.extensions.PreferenceStructureVisualizer
Set the training instances
setInstancesFromFileQ() - Method in class weka.gui.extensions.PreferenceStructureVisualizer
Queries the user for a file to load instances from, then loads the instances in a background process.
setLearnBothModelsForEachPairOfClasses(boolean) - Method in class weka.classifiers.rules.FR3
Sets whether all n(n-1) models (true) or only the n(n-1)/2 models, which is one model per pair.
setMinNo(double) - Method in class weka.classifiers.rules.FRIP
Sets the minimum total weight of the instances in a rule
setModelSafePath(String) - Method in class weka.classifiers.rules.FR3
Set the path to which the models are stored between learning and classification
setOptimizations(int) - Method in class weka.classifiers.rules.FRIP
Sets the number of optimization runs
setOptions(String[]) - Method in class weka.classifiers.rules.FR3
Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.rules.FRIP
Parses a given list of options.
setPlotTrainingData(boolean) - Method in class weka.gui.extensions.PreferenceStructurePanel
Set whether to superimpose the training data plot
setSafeModelToDiskAfterLearning(boolean) - Method in class weka.classifiers.rules.FR3
Sets whether the pairwise models should be safed to the harddrive after learning and be loaded upon classification
setSeed(long) - Method in class weka.classifiers.rules.FRIP
Sets the seed value to use in randomizing the data
setTrainingData(Instances) - Method in class weka.gui.extensions.PreferenceStructurePanel
Set the training data to use
setUpBoundaryPanel() - Method in class weka.gui.extensions.PreferenceStructureVisualizer
Sets up the BoundaryPanel object so that it is ready for plotting.
setXAttribute(int) - Method in class weka.gui.extensions.PreferenceStructurePanel
Set the x attribute index
setYAttribute(int) - Method in class weka.gui.extensions.PreferenceStructurePanel
Set the y attribute index
size() - Method in class weka.classifiers.rules.FRIP.RipperRule
the number of antecedents of the rule
splitData(Instances, double, double) - Method in class weka.classifiers.rules.FRIP.Antd
 
splitData(Instances, double, double) - Method in class weka.classifiers.rules.FRIP.NominalAntd
Implements the splitData function.
splitData(Instances, double, double) - Method in class weka.classifiers.rules.FRIP.NumericAntd
Implements the splitData function.
splitPoint - Variable in class weka.classifiers.rules.FRIP.NumericAntd
The split point for this numeric antecedent
start() - Method in class weka.gui.extensions.PreferenceStructurePanel
Start the plotting thread
startPlotThread() - Method in class weka.gui.extensions.PreferenceStructurePanel
Starts the plotting thread.
stopPlotting() - Method in class weka.gui.extensions.PreferenceStructurePanel
Stop the plotting thread
stopPlotting() - Method in class weka.gui.extensions.PreferenceStructureVisualizer
Stops the plotting thread.
supportBound - Variable in class weka.classifiers.rules.FRIP.NumericAntd
The edge point for the fuzzy set of this numeric antecedent

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