Steven Pawley

Thanks for the information re. XGBoost, very useful. FYI, ranger's `mtry` also accepts a function that returns the number of variables: ``` library(ranger) ranger(Species ~ ., data = iris, mtry...

Sorry for the delayed response. Is this using the dev version or a version installed from pip?

If you try installing the package directly form GitHub then I think that this issue may have already been fixed

Hello, sorry for taking a while to get back to you. This sounds like it would be it nice addition to recipeselectors and I'm happy to help to work it...

Hello! Sorry for the very long hiatus but I finally had a little time and I took the liberty of taking your step_fcbf and including it within recipeselectors/colino. Hope that...

I should say that maybe additional discussion should be continued at https://github.com/stevenpawley/colino which is the new package name

Hi Max, Thanks so much for sharing your thoughts on issues related to the greater architecture. I thought of the recipes approach because of (a) some quick feature selection needs...

Is there a reason why adding a `step_impute_` step before the filter-based step is undesirable? I guess it you are specifically wanting your model to handle the missing values, e.g.,...

I'm not sure if I completely follow, but adding predict_proba for the multilabel case is something that I'm happy to look into and implement. I haven't had a need for...

But, yes, something like the `isinstance(result, list)` to catch the output for multilabel cases