tdmDispatchTuner

the tuning algorithm given as a string. Possible values are { "spot" | "lhd" | "cmaes" | "cma_j" | "bfgs" }.

tuneMethod

confFile

--DEPRECATED-- SPOT 2.0 supports only spotStep="auto".

spotStep

envT

the <code><a rd-options="" href="/link/TDMdata?package=TDMR&version=2.2" data-mini-rdoc="TDMR::TDMdata">TDMdata</a></code> object containing the data set (train/vali part and test part)

dataObj

tdmDispatchTuner selects and starts the tuner specified by tuneMethod. 
 See the 'Details' section of <code><a rd-options="" href="/link/tdmBigLoop?package=TDMR&version=2.2" data-mini-rdoc="TDMR::tdmBigLoop">tdmBigLoop</a></code> for a list of available tuners.

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

tdmDispatchTuner function

the <code><a rd-options='' href='TDMdata'>TDMdata</a></code> object containing the data set (train/vali part and test part)

tdmDispatchTuner selects and starts the tuner specified by tuneMethod. 
 See the 'Details' section of <code><a rd-options='' href='tdmBigLoop'>tdmBigLoop</a></code> for a list of available tuners.

tdmDispatchTuner: Helper function for `tdmBigLoop`.

Description

Usage

Arguments

Value

See Also