Up: Component summary Component

WekaTransform

Transforms data using filter classes implemented in Weka. Useful for example for discretizing data.

Version 1.3
Bundle tools
Categories Convert
Specialties generic
Authors Viljami Aittomaki (viljami.aittomaki@helsinki.fi), Sirkku Karinen (sirkku.karinen@helsinki.fi)
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Requires weka.jar (jar) ; csbl-javatools.jar (jar)
Source files component.xml
Usage Example with default values

Type parameters (generics)

Inputs

Name Type Mandatory Description
in T (generic) Mandatory Data to transform.

Outputs

Name Type Description
out T (generic) Transformed data.

Parameters

Name Type Default Description
classAttribute string "" Some filters (filter.supervised) need class attribute
filter string (no default) Name of Weka filter class. Use full package name, eg. "weka.filters.unsupervised.attribute.Discretize". See Weka API for possible values.
wekaParameters string "" Parameters passed to filter. For example with the above discretization filter one might use "-R 2 -B 3" to discretize the second column into three bins. See Weka API for possible values.

Test cases

Test case Parameters IN
in
OUT
out
case1 properties in out

filter = weka.filters.unsupervised.attribute.Discretize,
wekaParameters = -B 3 -R first-last,
classAttribute = group


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