Up: Component summary
Up: Component summary
Component
WekaTransformTransforms 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) |
| Issue tracker | View/Report issues |
| Requires | weka.jar (jar) ; csbl-javatools.jar (jar) |
| Source files | component.xml |
| Usage | Example with default values |
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, |
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