fscaret v0.8.5.1
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by Jakub Szlek
Automated caret feature selection
Automated feature selection using variety of models
provided by caret package
Functions in fscaret
Name | Description | |
timeout | timeout | |
installPckg | installPckg | |
requiredPackages | requiredPackages | |
dataPreprocess | dataPreprocess | |
impCalc | impCalc | |
imputeMean | imputeMean | |
RMSE | RMSE | |
fscaret-package | Automated feature selection caret (fscaret) | |
dataset.test | Example testing data set | |
fscaret | feature selection caret | |
dataset.train | Example training data set | |
funcReg.all | All regression methods used | |
regVarImp | regVarImp | |
MSE | MSE | |
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Details
Type | Package |
Date | 2013-06-15 |
License | GPL-2 | GPL-3 |
Packaged | 2013-06-17 11:59:33 UTC; kuba |
NeedsCompilation | no |
Repository | CRAN |
Date/Publication | 2013-06-17 16:59:27 |
suggests | ada , affy , arm , Boruta , bst , C50 , car , caTools , class , Cubist , e1071 , earth (>= 2.2-3) , elasticnet , ellipse , evtree , extraTrees , fastICA , foba , gam , gbm (>= 2.1) , glmnet (>= 1.8) , gpls , grid , hda , HDclassif , HiDimDA , Hmisc , ipred , kernlab , kknn , klaR , kohonen , KRLS , lars , leaps , LogicForest , logicFS , LogicReg , MASS , mboost , mda , mgcv , mlbench , neuralnet , nnet , nodeHarvest , obliqueRF , pamr , partDSA , party (>= 0.9-99992) , penalized , penalizedLDA , pls , pROC , proxy , qrnn , quantregForest , randomForest , RANN , relaxo , rFerns , rocc , rpart , rrcov , RRF , rrlda , RSNNS , RWeka (>= 0.4-1) , sda , SDDA , sparseLDA (>= 0.1-1) , spls , stepPlr , superpc , vbmp |
depends | base (>= 3.0.0) , caret , gsubfn , parallel , R (>= 3.0.0) , utils |
Contributors | Jakub Szlek, acknowledgments Aleksander Mendyk, contribution stackoverflow, mailing community |
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