tdmGraAndLogInitialize

with <code>opts$GD.DEVICE</code> one out of 
[ <code>"pdf"</code> | <code>"png"</code> | <code>"win"</code> | <code>"rstudio"</code> | <code>"non"</code> ],
see <code><a rd-options="" href="/link/tdmGraphicInit?package=TDMR&version=2.2" data-mini-rdoc="TDMR::tdmGraphicInit">tdmGraphicInit</a></code>

opts

The log file is opened in <code>opts$dir.output/opts$LOGFILE</code>, but only if opts$fileMode==TRUE.

Tuned Data Mining in R ('TDMR') performs the complete tuning of a
data mining task (predictive analytics, that is classification and regression).
Preprocessing parameters and modeling parameters can be tuned simultaneously.
It incorporates a variety of tuners (among them 'SPOT' and 'CMA' with package 'rCMA') and
allows integration of additional tuners. Noise handling in the data mining optimization
process is supported, see Koch et al. (2015) <doi:10.1016/j.asoc.2015.01.005>.

Wolfgang Konen

TDMR

Tuned Data Mining in R

tdmGraAndLogInitialize function

with <code>opts$GD.DEVICE</code> one out of 
[ <code>"pdf"</code> | <code>"png"</code> | <code>"win"</code> | <code>"rstudio"</code> | <code>"non"</code> ],
see <code><a rd-options='' href='tdmGraphicInit'>tdmGraphicInit</a></code>

tdmGraAndLogInitialize: Initialize graphics and log file.

Description

Usage

Arguments

Value