capLargeValues

[<code>data.frame</code> | <code><a rd-options="" href="/link/Task?package=mlr&version=2.10" data-mini-rdoc="mlr::Task">Task</a></code>]
Input data.

[<code>character</code>]
Name of the column(s) specifying the response.
Target columns will not be capped.
Default is <code>character(0)</code>.

target

[<code>character</code>]
Which columns to convert.
Default is all numeric columns.

cols

[<code>numeric(1)</code>]
Threshold for capping.
Every entry whose absolute value is equal or larger is converted.
Default is <code>Inf</code>.

threshold

[<code>numeric(1)</code>]
Replacement value for large entries.
Large negative entries are converted to <code>-impute</code>.
Default is <code>threshold</code>.

impute

[<code>character(1)</code>]
What kind of entries are affected?
&#8220;abs&#8221; means <code>abs(x) &gt; threshold</code>,
&#8220;pos&#8221; means <code>abs(x) &gt; threshold &amp;&amp; x &gt; 0</code>,
&#8220;neg&#8221; means <code>abs(x) &gt; threshold &amp;&amp; x &lt; 0</code>.
Default is &#8220;abs&#8221;.

what

Convert numeric entries which large/infinite (absolute) values
in a data.frame or task.
Only numeric/integer columns are affected.

Interface to a large number of classification and regression
techniques, including machine-readable parameter descriptions. There is
also an experimental extension for survival analysis, clustering and
general, example-specific cost-sensitive learning. Generic resampling,
including cross-validation, bootstrapping and subsampling. Hyperparameter
tuning with modern optimization techniques, for single- and multi-objective
problems. Filter and wrapper methods for feature selection. Extension of
basic learners with additional operations common in machine learning, also
allowing for easy nested resampling. Most operations can be parallelized.

Bernd Bischl

Machine Learning in R

capLargeValues function

[<code>data.frame</code> | <code><a rd-options='' href='Task'>Task</a></code>]
Input data.

capLargeValues: Convert large/infinite numeric values in a data.frame or task.

Description

Usage

Arguments

Value

See Also

Examples