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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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