tdmEnvTUpdate

envT

list for TDMR, see <code><a rd-options="" href="/link/tdmDefaultsFill?package=TDMR&version=2.2" data-mini-rdoc="TDMR::tdmDefaultsFill">tdmDefaultsFill</a></code>

Update <code>envT$tdm</code> with the non-NULL elements of <code>tdm</code>

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

tdmEnvTUpdate function

list for TDMR, see <code><a rd-options='' href='tdmDefaultsFill'>tdmDefaultsFill</a></code>

tdmEnvTUpdate: Update `envT$tdm`

Description

Usage

Arguments

Value