July 2018
Beginner to intermediate
376 pages
9h 1m
English
The caret R package is core to ensemble machine learning methods. It provides a large framework and we can also put different statistical and machine learning models together to create an ensemble. For the recent version of the package on the author's laptop, the caret package provides access to the following models:
> library(caret)
> names(getModelInfo())
[1] "ada" "AdaBag" "AdaBoost.M1"
[4] "adaboost" "amdai" "ANFIS"
[7] "avNNet" "awnb" "awtan"
[229] "vbmpRadial" "vglmAdjCat" "vglmContRatio
[232] "vglmCumulative" "widekernelpls" "WM"
[235] "wsrf" "xgbLinear" "xgbTree"
[238] "xyf" Depending on your requirements, you can choose any combination of these 238 models. The authors of the package keep on updating this list. It is ...