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  • PartitionedMultiFilter
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Package

weka.filters.unsupervised.attribute

Synopsis

A filter that applies filters on subsets of attributes and assembles the output into a new dataset. Attributes that are not covered by any of the ranges can be either retained or removed from the output.

Options

The table below describes the options available for PartitionedMultiFilter.

Option

Description

debug

Turns on output of debugging information.

filters

The base filters to be used.

ranges

The attribute ranges to be used.

removeUnused

If true then unused attributes (ones that are not covered by any of the ranges) will be removed from the output.

Capabilities

The table below describes the capabilites of PartitionedMultiFilter.

Capability

Supported

Class

String class, No class, Numeric class, Unary class, Relational class, Date class, Binary class, Empty nominal class, Nominal class, Missing class values

Attributes

Binary attributes, Unary attributes, Empty nominal attributes, Nominal attributes, Date attributes, Numeric attributes, Missing values

Min # of instances

0

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