Uses of Interface
weka.filters.SupervisedFilter

Packages that use SupervisedFilter

Package	Description
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

Modifier and Type	Class	Description
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	MergeNominalValues	Merges values of all nominal attributes among the specified attributes, excluding the class attribute, using the CHAID method, but without considering re-splitting of merged subsets.
class	NominalToBinary	Converts all nominal attributes into binary numeric attributes.
class	PartitionMembership	* A filter that uses a PartitionGenerator to generate partition membership values; filtered instances are composed of these values plus the class attribute (if set in the input data) and rendered as sparse instances.

Uses of SupervisedFilter in weka.filters.supervised.instance

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

Modifier and Type	Class	Description
class	ClassBalancer	Reweights the instances in the data so that each class has the same total weight.
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.