listCPO

Return a <code>data.frame</code> with the columns &#8220;name&#8221;,
&#8220;cponame&#8221;, &#8220;category&#8221;, &#8220;subcategory&#8221;,
&#8220;description&#8221;.
Categories and subcategories are:<table><tr><td>
 category </td>
<td> subcategory </td>
<td> description </td>
</tr><tr><td>
 meta </td>
<td> </td>
<td> CPO that acts on other CPOs </td>
</tr><tr><td>
 tools </td>
<td> </td>
<td> </td>
</tr><tr><td>
 data </td>
<td> general </td>
<td> </td>
</tr><tr><td>
 </td>
<td> general data preproc </td>
<td> </td>
</tr><tr><td>
 </td>
<td> factor data preproc </td>
<td> </td>
</tr><tr><td>
 </td>
<td> numeric data preproc </td>
<td> </td>
</tr><tr><td>
 </td>
<td> feature conversion </td>
<td> </td>
</tr><tr><td>
 </td>
<td> cleanup </td>
<td> </td>
</tr><tr><td>
 featurefilter </td>
<td> general </td>
<td> fltr CPO with operation arg </td>
</tr><tr><td>
 </td>
<td> specialised </td>
<td> specific feat filter CPO </td>
</tr><tr><td>
 imputation </td>
<td> general </td>
<td> imp CPO with operation arg </td>
</tr><tr><td>
 </td>
<td> specialised </td>
<td> specific imputation CPO </td>
</tr><tr><td>
 tools </td>
<td> imputation </td>
<td> </td>
</tr></table>

Toolset that enriches 'mlr' with a diverse set of preprocessing
operators. Composable Preprocessing Operators ("CPO"s) are first-class
R objects that can be applied to data.frames and 'mlr' "Task"s to modify
data, can be attached to 'mlr' "Learner"s to add preprocessing to machine
learning algorithms, and can be composed to form preprocessing pipelines.

listCPO: List all Built-in CPOs

Description

Usage

Arguments

category	subcategory	description
meta		CPO that acts on other CPOs
tools
data	general
	general data preproc
	factor data preproc
	numeric data preproc
	feature conversion
	cleanup
featurefilter	general	fltr CPO with operation arg
	specialised	specific feat filter CPO
imputation	general	imp CPO with operation arg
	specialised	specific imputation CPO
tools	imputation