Package: TDMR
Type: Package
Title: Tuned Data Mining in R
Version: 1.1
Date: 10.06.2014
Author: Wolfgang Konen <wolfgang.konen@fh-koeln.de>, Patrick Koch
    <patrick.koch@fh-koeln.de>
Maintainer: Wolfgang Konen <wolfgang.konen@fh-koeln.de>
Description: Tuned Data Mining in R (TDMR) performs a complete tuning of a data
    mining task.
License: GPL (>= 2)
Depends: R (>= 2.14.0), SPOT, e1071,
Suggests: adabag, cmaes, parallel, powell, ROCR, twiddler,
        randomForest, rCMA, rSFA
Collate: 'makeTdmRandomSeed.r' 'printTDMclassifier.r'
        'printTDMregressor.r' 'tdmBigLoop.r' 'tdmClassify.r'
        'tdmClassifyLoop.r' 'tdmCompleteEval.r' 'tdmDefaultsFill.r'
        'tdmDispatchTuner.r' 'tdmEmbedDataFrame.r' 'tdmEnvTMakeNew.r'
        'tdmGeneralUtils.r' 'tdmGetObj.r' 'tdmGraphicUtils.r'
        'tdmMapDesign.r' 'tdmMetacostRf.r' 'tdmModelingUtils.r'
        'tdmOptsDefaults.r' 'tdmParaBootstrap.r' 'tdmPlotResMeta.r'
        'tdmPreprocUtils.r' 'tdmReadData.r' 'tdmROCR.r' 'tdmRegress.r'
        'tdmRegressLoop.r' 'tdmSplitTestData.r' 'tdmStartSpot.r'
        'tdmStartOther.r' 'unbiasedBestRun_O.r' 'unbiasedRun.r'
        'tdmExecSpotStep.r'
Packaged: 2014-06-06 06:54:55 UTC; wolfgang
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-06-06 14:08:47
