Uses of Class
weka.classifiers.RandomizableClassifier

Packages that use RandomizableClassifier

Package	Description
weka.classifiers.functions
weka.classifiers.meta

Uses of RandomizableClassifier in weka.classifiers.functions

Subclasses of RandomizableClassifier in weka.classifiers.functions

Modifier and Type	Class	Description
class	GaussianProcesses	* Implements Gaussian processes for regression without hyperparameter-tuning.
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 RandomizableClassifier in weka.classifiers.meta

Subclasses of RandomizableClassifier in weka.classifiers.meta

Modifier and Type	Class	Description
class	IterativeClassifierOptimizer	Chooses the best number of iterations for an IterativeClassifier such as LogitBoost using cross-validation or a percentage split evaluation.