Implementation Process - Caret Pipeline Models

[antoinecarme]

Caret allow building complex models with a post-processing step and a classification/regression (a la scikit-learn pipelines). Pipeline elements are already implemented in #2.

Should be easy as scikit-learn pipelines are already supported out of the box.

model  <- train(Species ~ ., data = iris, method = "rpart" , preProcess = c("center", "scale", "pca"))

[antoinecarme]

Added a caret classification pipeline (rpart) with preprocessing (center + scale + pca)

Added a caret regression pipeline (rpart) with preprocessing (center + scale + pca)