tdmEnvTMakeNew

TDMenvir

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

[defaultSC()] a list of list with controls for SPOT or other tuners (one list
for each element in <code>tdm$runList</code>)

sCList

Given the general TDMR settings in <code>tdm</code>, construct an appropriate environment <code>envT</code>.
This is needed as input for <code><a rd-options="" href="/link/tdmBigLoop?package=TDMR&version=2.2" data-mini-rdoc="TDMR::tdmBigLoop">tdmBigLoop</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

tdmEnvTMakeNew function

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

Given the general TDMR settings in <code>tdm</code>, construct an appropriate environment <code>envT</code>.
This is needed as input for <code><a rd-options='' href='tdmBigLoop'>tdmBigLoop</a></code>.

Construct a new environment envT of class <code><a rd-options='' href='TDMenvir'>TDMenvir</a></code>. — tdmEnvTMakeNew

Construct a new environment envT of class <code><a rd-options='' href='TDMenvir'>TDMenvir</a></code>.

Construct a new environment envT of class <code><a rd-options="" href="/link/TDMenvir?package=TDMR&version=2.2" data-mini-rdoc="TDMR::TDMenvir">TDMenvir</a></code>.

tdmEnvTMakeNew: Construct a new environment envT of class `TDMenvir`.

Description

Usage

Arguments

Value

See Also