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B

buildClassifier(Instances) - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
Builds the classifier.

D

distributionForInstance(Instance) - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
Computes class distribution of an instance using the best committee.

G

getBestCommitteeChunkSize() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
Get the best committee chunk size
getBestCommitteeErrorEstimate() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
Get the best committee's error on the validation data
getBestCommitteeLLEstimate() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
Get the best committee's log likelihood on the validation data
getBestCommitteeSize() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
Get the number of members in the best committee
getCapabilities() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
Returns default capabilities of the classifier.
getMaxChunkSize() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
Get the maximum chunk size
getMinChunkSize() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
Get the minimum chunk size
getOptions() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
Gets the current settings of the Classifier.
getPruningType() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
Get the pruning type
getRevision() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
Returns the revision string.
getTechnicalInformation() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
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.RacedIncrementalLogitBoost
Get whether resampling is turned on
getValidationChunkSize() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
Get the validation chunk size
globalInfo() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
 

L

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

M

main(String[]) - Static method in class weka.classifiers.meta.RacedIncrementalLogitBoost
Main method for this class.
maxChunkSizeTipText() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
 
minChunkSizeTipText() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
 

P

PRUNETYPE_LOGLIKELIHOOD - Static variable in class weka.classifiers.meta.RacedIncrementalLogitBoost
log likelihood pruning
PRUNETYPE_NONE - Static variable in class weka.classifiers.meta.RacedIncrementalLogitBoost
no pruning
pruningTypeTipText() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
 

R

RacedIncrementalLogitBoost - Class in weka.classifiers.meta
Classifier for incremental learning of large datasets by way of racing logit-boosted committees.

For more information see:

Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall: Racing committees for large datasets.
RacedIncrementalLogitBoost() - Constructor for class weka.classifiers.meta.RacedIncrementalLogitBoost
Constructor.

S

setClassifier(Classifier) - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
Set the base learner.
setMaxChunkSize(int) - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
Set the maximum chunk size
setMinChunkSize(int) - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
Set the minimum chunk size
setOptions(String[]) - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
Parses a given list of options.
setPruningType(SelectedTag) - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
Set the pruning type
setUseResampling(boolean) - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
Set resampling mode
setValidationChunkSize(int) - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
Set the validation chunk size

T

TAGS_PRUNETYPE - Static variable in class weka.classifiers.meta.RacedIncrementalLogitBoost
The pruning types
toString() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
Returns description of the boosted classifier.

U

updateClassifier(Instance) - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
Updates the classifier.
useResamplingTipText() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
 

V

validationChunkSizeTipText() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
 

W

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

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