dsetTrnVa

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

Return train-validataion data for an object.
See <code><a rd-options="" href="/link/dsetTrnVa.TDMdata?package=TDMR&version=2.2" data-mini-rdoc="TDMR::dsetTrnVa.TDMdata">dsetTrnVa.TDMdata</a></code> for details.

internal

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

dsetTrnVa 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 train-validataion data for an object.
See <code><a rd-options='' href='dsetTrnVa.TDMdata'>dsetTrnVa.TDMdata</a></code> for details.

dsetTrnVa: Return train-validataion data

Description

Usage

Arguments

Value

See Also