Uses of Interface
weka.filters.StreamableFilter

Packages that use StreamableFilter

weka.filters
weka.filters.unsupervised.attribute
weka.filters.unsupervised.instance

Uses of StreamableFilter in weka.filters

Classes in weka.filters that implement StreamableFilter

class	MultiFilter Applies several filters successively.
class	SimpleStreamFilter This filter is a superclass for simple stream filters.

Uses of StreamableFilter in weka.filters.unsupervised.attribute

Classes in weka.filters.unsupervised.attribute that implement StreamableFilter

class	Add An instance filter that adds a new attribute to the dataset.
class	AddExpression An instance filter that creates a new attribute by applying a mathematical expression to existing attributes.
class	AddValues Adds the labels from the given list to an attribute if they are missing.
class	ChangeDateFormat Changes the date format used by a date attribute.
class	ClassAssigner Filter that can set and unset the class index.
class	Copy An instance filter that copies a range of attributes in the dataset.
class	FirstOrder This instance filter takes a range of N numeric attributes and replaces them with N-1 numeric attributes, the values of which are the difference between consecutive attribute values from the original instance.
class	MakeIndicator A filter that creates a new dataset with a boolean attribute replacing a nominal attribute.
class	MergeManyValues Merges many values of a nominal attribute into one value.
class	MergeTwoValues Merges two values of a nominal attribute into one value.
class	NumericCleaner A filter that 'cleanses' the numeric data from values that are too small, too big or very close to a certain value (e.g., 0) and sets these values to a pre-defined default.
class	NumericToBinary Converts all numeric attributes into binary attributes (apart from the class attribute, if set): if the value of the numeric attribute is exactly zero, the value of the new attribute will be zero.
class	NumericTransform Transforms numeric attributes using a given transformation method.
class	Obfuscate A simple instance filter that renames the relation, all attribute names and all nominal (and string) attribute values.
class	RandomSubset Chooses a random subset of attributes, either an absolute number or a percentage.
class	Remove An filter that removes a range of attributes from the dataset.
class	RemoveByName Removes attributes based on a regular expression matched against their names.
class	RemoveType Removes attributes of a given type.
class	RenameAttribute This filter is used for renaming attribute names. Regular expressions can be used in the matching and replacing. See Javadoc of java.util.regex.Pattern class for more information: http://java.sun.com/javase/6/docs/api/java/util/regex/Pattern.html Valid options are:
class	Reorder A filter that generates output with a new order of the attributes.
class	SortLabels A simple filter for sorting the labels of nominal attributes.
class	SwapValues Swaps two values of a nominal attribute.

Uses of StreamableFilter in weka.filters.unsupervised.instance

Classes in weka.filters.unsupervised.instance that implement StreamableFilter

class	NonSparseToSparse An instance filter that converts all incoming instances into sparse format.
class	RemoveWithValues Filters instances according to the value of an attribute.
class	ReservoirSample Produces a random subsample of a dataset using the reservoir sampling Algorithm "R" by Vitter.
class	SparseToNonSparse An instance filter that converts all incoming sparse instances into non-sparse format.