Package: mlr
Title: mlr: Machine Learning in R.
Description: Interface to a large number of classification and
        regression techniques, including machine-readable parameter
        descriptions. Generic resampling, including cross-validation,
        bootstrapping and subsampling. Hyperparameter tuning with
        modern optimization techniques. Filter and wrapper methods for
        feature selection. Extension of basic learners with additional
        operations. Nested resampling.
Author: Bernd Bischl <bernd_bischl@gmx.net>
Maintainer: Bernd Bischl <bernd_bischl@gmx.net>
URL: https://github.com/berndbischl/mlr
BugReports: https://github.com/berndbischl/mlr/issues
License: BSD_3_clause + file LICENSE
Depends: R (>= 3.0.0), ParamHelpers (>= 1.1-36)
Imports: BBmisc (>= 1.3-64), parallelMap, codetools
Suggests: testthat, snowfall, ada, adabag, cmaes, DiceKriging,
        DiceOptim, e1071, earth, FNN, FSelector, gbm, irace, kernlab,
        kknn, klaR, mboost, mda, mlbench, nnet, party, penalized, pls,
        randomForest, reshape, robustbase, rpart, rsm, RWeka, ROCR
LazyData: yes
ByteCompile: yes
Version: 1.1-18
Packaged: 2013-08-29 22:56:32 UTC; bischl
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-08-30 01:32:22
