Uses of Interface
weka.classifiers.UpdateableClassifier

Packages that use UpdateableClassifier

weka.classifiers.bayes
weka.classifiers.functions
weka.classifiers.lazy
weka.classifiers.meta
weka.classifiers.rules

Uses of UpdateableClassifier in weka.classifiers.bayes

Classes in weka.classifiers.bayes that implement UpdateableClassifier

class	AODE AODE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that have weaker (and hence less detrimental) independence assumptions than naive Bayes.
class	AODEsr AODEsr augments AODE with Subsumption Resolution.AODEsr detects specializations between two attribute values at classification time and deletes the generalization attribute value. For more information, see: Fei Zheng, Geoffrey I.
class	DMNBtext Class for building and using a Discriminative Multinomial Naive Bayes classifier.
class	NaiveBayesMultinomialUpdateable Class for building and using a multinomial Naive Bayes classifier.
class	NaiveBayesUpdateable Class for a Naive Bayes classifier using estimator classes.

Uses of UpdateableClassifier in weka.classifiers.functions

Classes in weka.classifiers.functions that implement UpdateableClassifier

class	SPegasos Implements the stochastic variant of the Pegasos (Primal Estimated sub-GrAdient SOlver for SVM) method of Shalev-Shwartz et al.
class	Winnow Implements Winnow and Balanced Winnow algorithms by Littlestone. For more information, see N.

Uses of UpdateableClassifier in weka.classifiers.lazy

Classes in weka.classifiers.lazy that implement UpdateableClassifier

class	IB1 Nearest-neighbour classifier.
class	IBk K-nearest neighbours classifier.
class	KStar K* is an instance-based classifier, that is the class of a test instance is based upon the class of those training instances similar to it, as determined by some similarity function.
class	LWL Locally weighted learning.

Uses of UpdateableClassifier in weka.classifiers.meta

Classes in weka.classifiers.meta that implement UpdateableClassifier

class

RacedIncrementalLogitBoost 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.

Uses of UpdateableClassifier in weka.classifiers.rules

Classes in weka.classifiers.rules that implement UpdateableClassifier

class

NNge Nearest-neighbor-like algorithm using non-nested generalized exemplars (which are hyperrectangles that can be viewed as if-then rules).