convertAlgoPerfToWideFormat

The first 2 columns are &#8220;instance_id&#8221; and &#8220;repetition&#8221;. The remaining ones are
the measured performance values.
The feature columns are in the same order as &#8220;features_deterministic&#8221;,
&#8220;features_stochastic&#8221; in the description object.
codeNA means the performance value is not available, possibly because the algorithm run was aborted.
The data.frame is sorted by &#8220;instance_id&#8221;, then &#8220;repetition&#8221;.

Provides an interface to the algorithm selection benchmark library
at <http://www.aslib.net> and the 'LLAMA' package
(<https://cran.r-project.org/package=llama>) for building
algorithm selection models; see Bischl et al. (2016)
<doi:10.1016/j.artint.2016.04.003>.

Lars Kotthoff

aslib

Interface to the Algorithm Selection Benchmark Library

convertAlgoPerfToWideFormat function

<dl><dt>desc</dt>
<dd>[<code>ASScenarioDesc</code>] 
Description object of scenario.</dd>
<dt>algo.runs</dt>
<dd>[<code>data.frame</code>] 
Algo runs data.frame from scenario.</dd>
<dt>measure</dt>
<dd>[<code>character(1)</code>] 
Selected performance measure.
Default is first measure in scenario.</dd></dl>

Arguments

Converts algo.runs object of a scenario to wide format. — convertAlgoPerfToWideFormat

<dl>

<dt>desc</dt>
<dd>[<code>ASScenarioDesc</code>] 
Description object of scenario.</dd>


<dt>algo.runs</dt>
<dd>[<code>data.frame</code>] 
Algo runs data.frame from scenario.</dd>


<dt>measure</dt>
<dd>[<code>character(1)</code>] 
Selected performance measure.
Default is first measure in scenario.</dd>

</dl>

convertAlgoPerfToWideFormat: Converts `algo.runs` object of a scenario to wide format.

Description

Usage

Value

Arguments