Uses of Class
weka.filters.SimpleBatchFilter

Packages that use SimpleBatchFilter

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

Uses of SimpleBatchFilter in weka.filters.supervised.attribute

Subclasses of SimpleBatchFilter in weka.filters.supervised.attribute

Modifier and Type	Class and Description
class	AddClassification A filter for adding the classification, the class distribution and an error flag to a dataset with a classifier.
class	MergeNominalValues Merges values of all nominal attributes among the specified attributes, excluding the class attribute, using the CHAID method, but without considering to re-split merged subsets.

Uses of SimpleBatchFilter in weka.filters.unsupervised.attribute

Subclasses of SimpleBatchFilter in weka.filters.unsupervised.attribute

Modifier and Type	Class and Description
class	InterquartileRange A filter for detecting outliers and extreme values based on interquartile ranges.
class	KernelFilter Converts the given set of predictor variables into a kernel matrix.
class	MergeInfrequentNominalValues Merges all values of the specified nominal attribute that are sufficiently infrequent.
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	Transpose Transposes the data: instances become attributes and attributes become instances.

Uses of SimpleBatchFilter in weka.filters.unsupervised.instance

Subclasses of SimpleBatchFilter in weka.filters.unsupervised.instance

Modifier and Type	Class and 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. Grammar: boolexpr_list ::= boolexpr_list boolexpr_part | boolexpr_part; boolexpr_part ::= boolexpr:e {: parser.setResult(e); :} ; boolexpr ::= BOOLEAN | true | false | expr < expr | expr <= expr | expr > expr | expr >= expr | expr = expr | ( boolexpr ) | not boolexpr | boolexpr and boolexpr | boolexpr or boolexpr | ATTRIBUTE is STRING ; expr ::= NUMBER | ATTRIBUTE | ( expr ) | opexpr | funcexpr ; opexpr ::= expr + expr | expr - expr | expr * expr | expr / expr ; funcexpr ::= abs ( expr ) | sqrt ( expr ) | log ( expr ) | exp ( expr ) | sin ( expr ) | cos ( expr ) | tan ( expr ) | rint ( expr ) | floor ( expr ) | pow ( expr for base , expr for exponent ) | ceil ( expr ) ; Notes: - NUMBER any integer or floating point number (but not in scientific notation!) - STRING any string surrounded by single quotes; the string may not contain a single quote though. - ATTRIBUTE the following placeholders are recognized for attribute values: - CLASS for the class value in case a class attribute is set. - ATTxyz with xyz a number from 1 to # of attributes in the dataset, representing the value of indexed attribute. 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) Valid options are: