Uses of Interface
weka.filters.SupervisedFilter

Packages that use SupervisedFilter

weka.filters.supervised.attribute
weka.filters.supervised.instance

Uses of SupervisedFilter in weka.filters.supervised.attribute

Classes in weka.filters.supervised.attribute that implement SupervisedFilter

class	AttributeSelection A supervised attribute filter that can be used to select attributes.
class	ClassOrder Changes the order of the classes so that the class values are no longer of in the order specified in the header.
class	Discretize An instance filter that discretizes a range of numeric attributes in the dataset into nominal attributes.
class	NominalToBinary Converts all nominal attributes into binary numeric attributes.

Uses of SupervisedFilter in weka.filters.supervised.instance

Classes in weka.filters.supervised.instance that implement SupervisedFilter

class	Resample Produces a random subsample of a dataset using either sampling with replacement or without replacement. The original dataset must fit entirely in memory.
class	SpreadSubsample Produces a random subsample of a dataset.
class	StratifiedRemoveFolds This filter takes a dataset and outputs a specified fold for cross validation.