dsetTest.TDMdata

return value from a prior call to <code><a rd-options="" href="/link/tdmReadAndSplit?package=TDMR&version=2.2" data-mini-rdoc="TDMR::tdmReadAndSplit">tdmReadAndSplit</a></code>, an object of class <code><a rd-options="" href="/link/TDMdata?package=TDMR&version=2.2" data-mini-rdoc="TDMR::TDMdata">TDMdata</a></code>.

may contain nExp, experiment number, needed only if <code>x$tdm$umode=="SP_T"</code>: 
add nExp to seed when randomly splitting in train and test data [default: nExp=0]

Return the test part of a <code><a rd-options="" href="/link/TDMdata?package=TDMR&version=2.2" data-mini-rdoc="TDMR::TDMdata">TDMdata</a></code> object containing the task data.

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

dsetTest.TDMdata function

return value from a prior call to <code><a rd-options='' href='tdmReadAndSplit'>tdmReadAndSplit</a></code>, an object of class <code><a rd-options='' href='TDMdata'>TDMdata</a></code>.

Return the test part of a <code><a rd-options='' href='TDMdata'>TDMdata</a></code> object containing the task data.

dsetTest.TDMdata: Return test data of `TDMdata` object

Description

Usage

Arguments

Value

See Also