print.TDMregressor

print.tdmRegre

an object of class <code><a rd-options="=tdmRegress" href="/link/tdmRegre?package=TDMR&version=2.2&to=%3DtdmRegress" data-mini-rdoc="=tdmRegress::tdmRegre">tdmRegre</a></code>, as returned from a prior call to <code><a rd-options="" href="/link/tdmRegress?package=TDMR&version=2.2" data-mini-rdoc="TDMR::tdmRegress">tdmRegress</a></code>, 
or an object of class <code><a rd-options="" href="/link/TDMregressor?package=TDMR&version=2.2" data-mini-rdoc="TDMR::TDMregressor">TDMregressor</a></code>, as returned from a prior call to <code><a rd-options="" href="/link/tdmRegressLoop?package=TDMR&version=2.2" data-mini-rdoc="TDMR::tdmRegressLoop">tdmRegressLoop</a></code>.

e.g. 'type' which information to print:<dl class="dl-horizontal">
 <dt><code>"overview"</code></dt><dd>(def.) RMAE on training/test set, number of records, see <code><a rd-options="" href="/link/tdmRegressSummary?package=TDMR&version=2.2" data-mini-rdoc="TDMR::tdmRegressSummary">tdmRegressSummary</a></code></dd>
 <dt><code>"..."</code></dt><dd>... other choices, TODO ...</dd>
 <dt><code>"?"</code></dt><dd>help on this method</dd>
</dl>

Print an overview for a <code><a rd-options="" href="/link/TDMregressor?package=TDMR&version=2.2" data-mini-rdoc="TDMR::TDMregressor">TDMregressor</a></code> or <code><a rd-options="=tdmRegress" href="/link/tdmRegre?package=TDMR&version=2.2&to=%3DtdmRegress" data-mini-rdoc="=tdmRegress::tdmRegre">tdmRegre</a></code> object.

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

print.TDMregressor function

an object of class <code><a rd-options='=tdmRegress' href='tdmRegre'>tdmRegre</a></code>, as returned from a prior call to <code><a rd-options='' href='tdmRegress'>tdmRegress</a></code>, 
or an object of class <code><a rd-options='' href='TDMregressor'>TDMregressor</a></code>, as returned from a prior call to <code><a rd-options='' href='tdmRegressLoop'>tdmRegressLoop</a></code>.

e.g. 'type' which information to print:<dl class='dl-horizontal'>
 <dt><code>"overview"</code></dt><dd>(def.) RMAE on training/test set, number of records, see <code><a rd-options='' href='tdmRegressSummary'>tdmRegressSummary</a></code></dd>
 <dt><code>"..."</code></dt><dd>... other choices, TODO ...</dd>
 <dt><code>"?"</code></dt><dd>help on this method</dd>
</dl>

Print an overview for a <code><a rd-options='' href='TDMregressor'>TDMregressor</a></code> or <code><a rd-options='=tdmRegress' href='tdmRegre'>tdmRegre</a></code> object.

Print an overview for a <code><a rd-options='' href='TDMregressor'>TDMregressor</a></code> object. — print.TDMregressor

Print an overview for a <code><a rd-options='' href='TDMregressor'>TDMregressor</a></code> object.

Print an overview for a <code><a rd-options="" href="/link/TDMregressor?package=TDMR&version=2.2" data-mini-rdoc="TDMR::TDMregressor">TDMregressor</a></code> object.

print.TDMregressor: Print an overview for a `TDMregressor` object.

Description

Usage

Arguments

See Also