powellTuner

task configuration for tuning algorithm

confFile

envT

the <code><a rd-options="" href="/link/TDMdata?package=TDMR&version=2.0" data-mini-rdoc="TDMR::TDMdata">TDMdata</a></code> object containing the data set (train/vali part and test part)

dataObj

Perform a parameter tuning by Powell's UObyQA algorithm 
(unconstrained optimization by quadratic approximation), see R-package <code>powell</code>

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

powellTuner function

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

powellTuner: Perform Powell's tuning.

Description

Usage

Arguments

Value