tdmPreAddMonomials

dset

a data frame where to draw the monomials from

the number of columns from <code>rx</code> to use (clipped to <code>ncol(rx)</code> if necessary)

PRE.npc

a list from which we need here the following entries:<ul>
<li>filename</li>
<li>VERBOSE</li>
</ul>

opts

[2] (currently only 2 is supported)

degree

["R"] character prefix for the monomial column names

prefix

Given the data frame <code>dset</code> and a data frame <code>rx</code> with the same number of rows,
add monomials of degree 2 to dset for all quadratic combinations of the first PRE.npc
columns of <code>rx</code>. The naming of these new columns is "R1x2" for the combination of cols
1 and 2 and so on (if prefix="R").

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>.

tdmPreAddMonomials: Add monomials of degree 2 to a data frame.

Description

Usage

Arguments

Value