TDMR (2.0)

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Tuned Data Mining in R.

http://cran.r-project.org/web/packages/TDMR

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) .

Maintainer: Wolfgang Konen
Author(s): Wolfgang Konen <wolfgang.konen@fh-koeln.de>, Patrick Koch <patrick.koch@fh-koeln.de>

License: GPL (>= 2)

Uses: adabag, SPOT, testit, twiddler, ROCR, e1071, powell, randomForest, cmaes, rSFA, rCMA

Released 10 months ago.


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