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B

buildClassifier(Instances) - Method in class weka.classifiers.misc.IsolationForest

Builds the forest.

C

c(double) - Static method in class weka.classifiers.misc.IsolationForest

Returns the average path length of an unsuccessful search.

D

distributionForInstance(Instance) - Method in class weka.classifiers.misc.IsolationForest

Returns distribution of scores.

G

getCapabilities() - Method in class weka.classifiers.misc.IsolationForest

Returns the Capabilities of this filter.

getNumTrees() - Method in class weka.classifiers.misc.IsolationForest

Get the value of numTrees.

getOptions() - Method in class weka.classifiers.misc.IsolationForest

Gets options from this classifier.

getSubsampleSize() - Method in class weka.classifiers.misc.IsolationForest

Get the value of subsampleSize.

getTechnicalInformation() - Method in class weka.classifiers.misc.IsolationForest

Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

globalInfo() - Method in class weka.classifiers.misc.IsolationForest

Returns a string describing this filter

I

IsolationForest - Class in weka.classifiers.misc

Implements the isolation forest method for anomaly detection.

Note that this classifier is designed for anomaly detection, it is not designed for solving two-class or multi-class classification problems!

The data is expected to have have a class attribute with one or two values, which is ignored at training time.

IsolationForest() - Constructor for class weka.classifiers.misc.IsolationForest

L

listOptions() - Method in class weka.classifiers.misc.IsolationForest

Lists the command-line options for this classifier.

M

main(String[]) - Static method in class weka.classifiers.misc.IsolationForest

Main method for this class.

N

numTreesTipText() - Method in class weka.classifiers.misc.IsolationForest

Returns the tip text for this property

S

setNumTrees(int) - Method in class weka.classifiers.misc.IsolationForest

Set the value of numTrees.

setOptions(String[]) - Method in class weka.classifiers.misc.IsolationForest

Parses a given list of options.

setSubsampleSize(int) - Method in class weka.classifiers.misc.IsolationForest

Set the value of subsampleSize.

subsampleSizeTipText() - Method in class weka.classifiers.misc.IsolationForest

Returns the tip text for this property

T

toString() - Method in class weka.classifiers.misc.IsolationForest

Returns brief description of the classifier.

W

weka.classifiers.misc - package weka.classifiers.misc

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