tdmEnvTLoad

fileRData

[NULL] dir where to search <code>fileRData</code>. If NULL, use current dir.

path

The loaded envT is augmented with getter functions, see <code><a rd-options="" href="/link/tdmEnvTAddGetters?package=TDMR&version=2.2" data-mini-rdoc="TDMR::tdmEnvTAddGetters">tdmEnvTAddGetters</a></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

tdmEnvTLoad function

The loaded envT is augmented with getter functions, see <code><a rd-options='' href='tdmEnvTAddGetters'>tdmEnvTAddGetters</a></code>.

tdmEnvTLoad: Load an `envT`-type environment from file `fileRData`.

Description

Usage

Arguments

Value