Uses of Class
weka.filters.SimpleFilter

Packages that use SimpleFilter

Package	Description
weka.filters
weka.filters.supervised.attribute
weka.filters.supervised.instance
weka.filters.unsupervised.attribute
weka.filters.unsupervised.instance

Uses of SimpleFilter in weka.filters

Subclasses of SimpleFilter in weka.filters

Modifier and Type	Class	Description
class	MultiFilter	Applies several filters successively.
class	SimpleBatchFilter	This filter is a superclass for simple batch filters.
class	SimpleStreamFilter	This filter is a superclass for simple stream filters.

Uses of SimpleFilter in weka.filters.supervised.attribute

Subclasses of SimpleFilter in weka.filters.supervised.attribute

Modifier and Type	Class	Description
class	AddClassification	A filter for adding the classification, the class distribution and an error flag to a dataset with a classifier.
class	ClassConditionalProbabilities	Converts the values of nominal and/or numeric attributes into class conditional probabilities.
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.

Uses of SimpleFilter in weka.filters.supervised.instance

Subclasses of SimpleFilter in weka.filters.supervised.instance

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

Uses of SimpleFilter in weka.filters.unsupervised.attribute

Subclasses of SimpleFilter in weka.filters.unsupervised.attribute

Modifier and Type	Class	Description
class	CartesianProduct	A filter for performing the Cartesian product of a set of nominal attributes.
class	ClassAssigner	Filter that can set and unset the class index.
class	DateToNumeric	A filter for turning date attributes into numeric ones.
class	FixedDictionaryStringToWordVector	Converts String attributes into a set of attributes representing word occurrence (depending on the tokenizer) information from the text contained in the strings.
class	InterquartileRange	A filter for detecting outliers and extreme values based on interquartile ranges.
class	KernelFilter	Converts the given set of data into a kernel matrix.
class	MergeInfrequentNominalValues	Merges all values of the specified nominal attributes that are insufficiently frequent.
class	NumericCleaner	A filter that 'cleanses' the numeric data from values that are too small, too big or very close to a certain value, and sets these values to a pre-defined default.
class	NumericToDate	A filter for turning numeric attributes into date attributes.
class	NumericToNominal	A filter for turning numeric attributes into nominal ones.
class	PartitionedMultiFilter	A filter that applies filters on subsets of attributes and assembles the output into a new dataset.
class	RandomSubset	Chooses a random subset of non-class attributes, either an absolute number or a percentage.
class	RemoveByName	Removes attributes based on a regular expression matched against their names.
class	RenameAttribute	This filter is used for renaming attributes. 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
class	ReplaceWithMissingValue	A filter that can be used to introduce missing values in a dataset.
class	SortLabels	A simple filter for sorting the labels of nominal attributes.
class	Transpose	Transposes the data: instances become attributes and attributes become instances.

Uses of SimpleFilter in weka.filters.unsupervised.instance

Subclasses of SimpleFilter in weka.filters.unsupervised.instance

Modifier and Type	Class	Description
class	RemoveDuplicates	Removes all duplicate instances from the first batch of data it receives.
class	SubsetByExpression	Filters instances according to a user-specified expression. Examples: - extracting only mammals and birds from the 'zoo' UCI dataset: (CLASS is 'mammal') or (CLASS is 'bird') - extracting only animals with at least 2 legs from the 'zoo' UCI dataset: (ATT14 >= 2) - extracting only instances with non-missing 'wage-increase-second-year' from the 'labor' UCI dataset: not ismissing(ATT3)