Uses of Interface
weka.classifiers.UpdateableClassifier

Packages that use UpdateableClassifier

Package	Description
weka.classifiers.bayes
weka.classifiers.functions
weka.classifiers.lazy
weka.classifiers.meta
weka.classifiers.trees

Uses of UpdateableClassifier in weka.classifiers.bayes

Classes in weka.classifiers.bayes that implement UpdateableClassifier

Modifier and Type	Class	Description
class	NaiveBayesMultinomialText	Multinomial naive bayes for text data.
class	NaiveBayesMultinomialUpdateable	Class for building and using an updateable 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

Modifier and Type	Class	Description
class	SGD	Implements stochastic gradient descent for learning various linear models (binary class SVM, binary class logistic regression, squared loss, Huber loss and epsilon-insensitive loss linear regression).
class	SGDText	Implements stochastic gradient descent for learning a linear binary class SVM or binary class logistic regression on text data.

Uses of UpdateableClassifier in weka.classifiers.lazy

Classes in weka.classifiers.lazy that implement UpdateableClassifier

Modifier and Type	Class	Description
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

Modifier and Type	Class	Description
class	MultiClassClassifierUpdateable	A metaclassifier for handling multi-class datasets with 2-class classifiers.

Uses of UpdateableClassifier in weka.classifiers.trees

Classes in weka.classifiers.trees that implement UpdateableClassifier

Modifier and Type	Class	Description
class	HoeffdingTree	A Hoeffding tree (VFDT) is an incremental, anytime decision tree induction algorithm that is capable of learning from massive data streams, assuming that the distribution generating examples does not change over time.