findDominatedAlgos

[<code><a rd-options="" href="/link/ASScenario?package=aslib&version=0.1" data-mini-rdoc="aslib::ASScenario">ASScenario</a></code>]
Algorithm selection scenario.

asscenario

[<code>character(1)</code>]
Measure for algorithm performance.
Default is first measure in scenario.

measure

[<code>logical(1)</code>]
Should the resulting matrix be reduced to algorithms that a are either dominated by or dominate
another algorithm?
Default is <code>FALSE</code>.

reduce

[<code>character(1)</code>]
Data type of the result object.
&#147;logical&#148;: Logical matrix, TRUE means row algorithm dominates column algorithm.
&#147;character&#148;: Same information but more human-readable. States how the row relates to the column.

type


If NAs occur, they are imputed (before aggregation) by
<code>base + 0.3 * range</code>.
<code>base</code> is the cutoff value for runtimes scenarios with cutoff or
the worst performance for all others.<p></p><p>Stochastic replications are aggregated by the mean value.
</p>

Provides an interface to the algorithm selection benchmark library
at <http://www.aslib.net> and the 'LLAMA' package
(<https://cran.r-project.org/web/packages/llama/index.html>) for building
algorithm selection models.

Lars Kotthoff

aslib

Interface to the Algorithm Selection Benchmark Library

findDominatedAlgos function

[<code><a rd-options='' href='ASScenario'>ASScenario</a></code>]
Algorithm selection scenario.


If NAs occur, they are imputed (before aggregation) by
<code>base + 0.3 * range</code>.
<code>base</code> is the cutoff value for runtimes scenarios with cutoff or
the worst performance for all others.

Stochastic replications are aggregated by the mean value.


findDominatedAlgos: Creates a table that shows the dominance of one algorithm over another one.

Description

Usage

Arguments

Value