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B
buildClassifier(Instances)
- Method in class weka.classifiers.meta.
RealAdaBoost
Boosting method.
D
distributionForInstance(Instance)
- Method in class weka.classifiers.meta.
RealAdaBoost
Calculates the class membership probabilities for the given test instance.
G
getCapabilities()
- Method in class weka.classifiers.meta.
RealAdaBoost
Returns default capabilities of the classifier.
getOptions()
- Method in class weka.classifiers.meta.
RealAdaBoost
Gets the current settings of the Classifier.
getRevision()
- Method in class weka.classifiers.meta.
RealAdaBoost
Returns the revision string.
getShrinkage()
- Method in class weka.classifiers.meta.
RealAdaBoost
Get the value of Shrinkage.
getTechnicalInformation()
- Method in class weka.classifiers.meta.
RealAdaBoost
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.
getUseResampling()
- Method in class weka.classifiers.meta.
RealAdaBoost
Get whether resampling is turned on
getWeightThreshold()
- Method in class weka.classifiers.meta.
RealAdaBoost
Get the degree of weight thresholding
globalInfo()
- Method in class weka.classifiers.meta.
RealAdaBoost
Returns a string describing classifier
L
listOptions()
- Method in class weka.classifiers.meta.
RealAdaBoost
Returns an enumeration describing the available options.
M
main(String[])
- Static method in class weka.classifiers.meta.
RealAdaBoost
Main method for testing this class.
R
RealAdaBoost
- Class in
weka.classifiers.meta
Class for boosting a 2-class classifier using the Real Adaboost method.
For more information, see
J.
RealAdaBoost()
- Constructor for class weka.classifiers.meta.
RealAdaBoost
Constructor.
S
setOptions(String[])
- Method in class weka.classifiers.meta.
RealAdaBoost
Parses a given list of options.
setShrinkage(double)
- Method in class weka.classifiers.meta.
RealAdaBoost
Set the value of Shrinkage.
setUseResampling(boolean)
- Method in class weka.classifiers.meta.
RealAdaBoost
Set resampling mode
setWeightThreshold(int)
- Method in class weka.classifiers.meta.
RealAdaBoost
Set weight threshold
shrinkageTipText()
- Method in class weka.classifiers.meta.
RealAdaBoost
Returns the tip text for this property
T
toString()
- Method in class weka.classifiers.meta.
RealAdaBoost
Returns description of the boosted classifier.
U
useResamplingTipText()
- Method in class weka.classifiers.meta.
RealAdaBoost
Returns the tip text for this property
W
weightThresholdTipText()
- Method in class weka.classifiers.meta.
RealAdaBoost
Returns the tip text for this property
weka.classifiers.meta
- package weka.classifiers.meta
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