The TDMR framework has the aim to facilitate the training, tuning and evaluation of data mining models. It puts special emphasis on tuning these data mining models as well as simultaneously tuning certain preprocessing options. TDMR is especially designed to work with R-package SPOT as the preferred tuner, but it offers also the possibility to use other tuners, e.g. CMA-ES (package rCMA), latin hypercube design (LHD) or direct-search optimizers (like BFGS or Powell) for comparison.
For a more comprehensive description see
These documents (latest update: April 2018) can be downloaded from the CIOP website (www.gociop.de), research project TDMR
http://lwibs01.gm.fh-koeln.de/blogs/ciop/research/tuned-data-mining/:
For changes in package TDMR see changes.html.