Caret - tuning: Models' default parameters

Question

I can't find a list of the default machine learning models' parameters for the tuning search space. I know that it's possible to retrieve the grid values searching manually them on the github page , but I don't think this is the right way. I need these parameters because I'm trying to do an execution time estimate for all the classification models on the default configuration. I'm unable to find them on the caret documentation . Is there a way to retrieve them?

Answer 1

modelLookup() is what you need. This will return per model the parameters you can tune.

models <- modelLookup()
head(models)

     model parameter          label forReg forClass probModel
1      ada      iter         #Trees  FALSE     TRUE      TRUE
2      ada  maxdepth Max Tree Depth  FALSE     TRUE      TRUE
3      ada        nu  Learning Rate  FALSE     TRUE      TRUE
4   AdaBag    mfinal         #Trees  FALSE     TRUE      TRUE
5   AdaBag  maxdepth Max Tree Depth  FALSE     TRUE      TRUE
9 adaboost     nIter         #Trees  FALSE     TRUE      TRUE

filter on forClass to get the models for classification only.