On Mon, 10 Oct 2022 08:00:04 +
Dario Strbenac wrote:
> It requires input data to be in one-hot encoding, which is created by
> Matrix::sparse.model.matrix. For further analysis, such as variable
> importance, is there a way to identify which original feature each
> column of a sparse.model.ma
Good day,
I am developing a wrapper around xgboost which does not (yet - I see that it is
on the developer's version 2.0 task list) support factor variable type. It
requires input data to be in one-hot encoding, which is created by
Matrix::sparse.model.matrix. For further analysis, such as vari
