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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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