plot.MDFS

Functions for MultiDimensional Feature Selection (MDFS):
calculating multidimensional information gains, scoring variables,
finding important variables, plotting selection results.
This package includes an optional CUDA implementation that speeds up
information gain calculation using NVIDIA GPGPUs.
R. Piliszek et al. (2019) <doi:10.32614/RJ-2019-019>.

Radosław Piliszek

MDFS

MultiDimensional Feature Selection

Krzysztof Mnich

Paweł Tabaszewski

Szymon Migacz

Andrzej Sułecki

plot.MDFS function

<dl><dt>x</dt>
<dd>an MDFS object</dd>
<dt>plots</dt>
<dd>plots to plot (ig for max IG, c for chi-squared p-values, p for p-values)</dd>
<dt>...</dt>
<dd>passed on to <code><a href="/link/plot?package=MDFS&version=1.5.5" data-mini-rdoc="MDFS::plot">plot</a></code></dd></dl>

Arguments

Plot MDFS details — plot.MDFS

<dl>

<dt>x</dt>
<dd>an MDFS object</dd>


<dt>plots</dt>
<dd>plots to plot (ig for max IG, c for chi-squared p-values, p for p-values)</dd>


<dt>...</dt>
<dd>passed on to <code><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></code></dd>

</dl>

Plot MDFS details

plot.MDFS: Plot MDFS details

Description

Usage

Value

Arguments