Caret r package code#

The RFE-related functions lrFuncs, lmFuncs, and gamFuncs were updated so that rfe accepts a matrix x argument. Jason Schadewald noticed and fixed a bug in the man page for dummyVarsĬall objects were removed from the following models: avNNet, bagFDA, icr, knn3, knnreg, pcaNNet, and plsda.Īn argument was added to createTimeSlices to thin the number of resamples The cuts argument of calibration now accepts a vector of cut points. Splom.resamples now respects the models argumentĪ new argument to lift called cuts was added to allow more control over what thresholds are used to calculate the curve.

Caret r package code#

However, features beyond simple prediction may not work.Ī rarely occurring bug in gbm model code was fixed (thanks to Wade Cooper)

The total object size for preProces objects that used bagged imputation was reduced almost 5-fold.Ī new option to trainControl called trim was added where, if implemented, will reduce the model's footprint. That package is not on CRAN and can be installed from github using the devtools package and install_github('dmlc/xgboost',subdir='R-package').ĭratewka enabled rbf models for regression.Ī summary function for the multinomial likelihood called mnLogLoss was added. Models xgbTree amd xgbLinear from the xgboost package were added. News for Package caret Changes in version 6.0-47