tdmMapDesLoad

list, needed for <code>tdm$tdmPath</code> and <code>tdm$path</code>

Load the map files <code>"tdmMapDesign.csv"</code> and optionally 
 also <code>"userMapDesign.csv"</code> and store them in <code>tdm$map</code> and <code>tdm$mapUser</code>,
 resp. These maps are used by <code><a rd-options="" href="/link/tdmMapDesApply?package=TDMR&version=2.2" data-mini-rdoc="TDMR::tdmMapDesApply">tdmMapDesApply</a></code>. 
 <code>"tdmMapDesign.csv"</code> is searched in the TDMR library path <code>find.package("TDMR")</code>.
 (For the developer version: <code>&lt;tdm$tdmPath&gt;/inst</code>). 
 <code>"userMapDesign.csv"</code> is searched in tdm$path (which is getwd() if the user did not define tdm$path).

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

tdmMapDesLoad function

Load the map files <code>"tdmMapDesign.csv"</code> and optionally 
 also <code>"userMapDesign.csv"</code> and store them in <code>tdm$map</code> and <code>tdm$mapUser</code>,
 resp. These maps are used by <code><a rd-options='' href='tdmMapDesApply'>tdmMapDesApply</a></code>. 
 <code>"tdmMapDesign.csv"</code> is searched in the TDMR library path <code>find.package("TDMR")</code>.
 (For the developer version: <code>&lt;tdm$tdmPath&gt;/inst</code>). 
 <code>"userMapDesign.csv"</code> is searched in tdm$path (which is getwd() if the user did not define tdm$path).

tdmMapDesLoad: Load the mapping files.

Description

Usage

Arguments

Value

See Also