B C D F G L M P S T W 

B

buildClassifier(Instances) - Method in class weka.classifiers.meta.MSSRegression
Buildclassifier trains the classifiers iteratively and builds the final classifier.

C

classifyInstance(Instance) - Method in class weka.classifiers.meta.MSSRegression
Classifies the given test instance.
combinationRuleTipText() - Method in class weka.classifiers.meta.MSSRegression
Returns the tip text for this property

D

doNotPrintModelsTipText() - Method in class weka.classifiers.meta.MSSRegression
Returns the tip text for this property

F

finalClassifierTipText() - Method in class weka.classifiers.meta.MSSRegression
Returns the tip text for this property

G

getCapabilities() - Method in class weka.classifiers.meta.MSSRegression
Returns capabilities according to the selected classifiers.
getCombinationRule() - Method in class weka.classifiers.meta.MSSRegression
Gets the combination rule used
getDoNotPrintModels() - Method in class weka.classifiers.meta.MSSRegression
Get whether to print the individual ensemble models in the output
getFinalClassifier() - Method in class weka.classifiers.meta.MSSRegression
Get the classifier used as the final classifier.
getMaxIter() - Method in class weka.classifiers.meta.MSSRegression
Get maximum iterations.
getOptions() - Method in class weka.classifiers.meta.MSSRegression
Gets the current settings of MSSRegression.
getPercentLabeled() - Method in class weka.classifiers.meta.MSSRegression
Get the labeled ratio.
getRevision() - Method in class weka.classifiers.meta.MSSRegression
Returns the revision string.
getTechnicalInformation() - Method in class weka.classifiers.meta.MSSRegression
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.meta.MSSRegression
Returns a string describing MSSRegression

L

listOptions() - Method in class weka.classifiers.meta.MSSRegression
Returns an enumeration describing the available options.

M

main(String[]) - Static method in class weka.classifiers.meta.MSSRegression
Main method for testing this class.
maxIterTipText() - Method in class weka.classifiers.meta.MSSRegression
Returns the tip text for this property
medianToWeights(Double[]) - Static method in class weka.classifiers.meta.MSSRegression
Not used
MINIMUM_RANGE - Static variable in class weka.classifiers.meta.MSSRegression
Combination rule: Minimum Range
MSSRegression - Class in weka.classifiers.meta
Class implementing multi-scheme semi-supervised regression.

For more information see:

N.
MSSRegression() - Constructor for class weka.classifiers.meta.MSSRegression
Constructor.

P

percentLabeledTipText() - Method in class weka.classifiers.meta.MSSRegression
Returns the tip text for this property
postExecution() - Method in class weka.classifiers.meta.MSSRegression
 
preExecution() - Method in class weka.classifiers.meta.MSSRegression
 

S

setCombinationRule(SelectedTag) - Method in class weka.classifiers.meta.MSSRegression
Sets the combination rule to use.
setDoNotPrintModels(boolean) - Method in class weka.classifiers.meta.MSSRegression
Set whether to print the individual ensemble models in the output
setFinalClassifier(Classifier) - Method in class weka.classifiers.meta.MSSRegression
Set the final classifier.
setMaxIter(int) - Method in class weka.classifiers.meta.MSSRegression
Set maximum iterations.
setOptions(String[]) - Method in class weka.classifiers.meta.MSSRegression
Parses a given list of options.
setPercentLabeled(double) - Method in class weka.classifiers.meta.MSSRegression
Set the labeled ratio.

T

TAGS_RULES - Static variable in class weka.classifiers.meta.MSSRegression
 
toString() - Method in class weka.classifiers.meta.MSSRegression
Output a representation of this classifier

W

weka.classifiers.meta - package weka.classifiers.meta
 
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