tdmGraAndLogFinalize

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

object of class TDMgdev, the return value from tdmGraAndLogInitialize, to ensure that tdmGraAndLogInitialize was called before 
(and the sink on opts$LOGFILE can be closed)

gdObj

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

tdmGraAndLogFinalize 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>

tdmGraAndLogFinalize: Finalize graphics and log file

Description

Usage

Arguments