fscaret v0.9.4.4
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Automated Feature Selection from 'caret'
Automated feature selection using variety of models
provided by 'caret' package.
This work was funded by Poland-Singapore bilateral cooperation
project no 2/3/POL-SIN/2012.
Functions in fscaret
| Name | Description | |
| fscaret | feature selection caret | |
| timeout | timeout | |
| impCalc | impCalc | |
| imputeMean | imputeMean | |
| installPckg | installPckg | |
| regVarImp | regVarImp | |
| fscaret-package | Automated feature selection caret (fscaret) | |
| dataset.test | Example testing data set | |
| RMSE | RMSE | |
| funcReg.all | All regression methods used | |
| dataset.train | Example training data set | |
| funcClass.all | Classification methods used. | |
| requiredPackages | requiredPackages | |
| classVarImp | classVarImp | |
| dataPreprocess | dataPreprocess | |
| MSE | MSE | |
| No Results! | ||
Vignettes of fscaret
| Name | ||
| fscaret.Rnw | ||
| No Results! | ||
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Details
| Type | Package |
| Date | 2018-05-08 |
| License | GPL-2 | GPL-3 |
| Packaged | 2018-05-08 06:50:59 UTC; kuba |
| NeedsCompilation | no |
| Repository | CRAN |
| Date/Publication | 2018-05-08 08:15:17 UTC |
| suggests | ada , 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) , hda , HDclassif , Hmisc , ipred , kernlab , kknn , klaR , kohonen , KRLS , lars , leaps , 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 , sparseLDA (>= 0.1-1) , spls , stepPlr , superpc |
| depends | caret , gsubfn , hmeasure , parallel , R (>= 3.1.0) , utils |
| Contributors | Aleksander Mendyk |
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