Tom Augspurger

I think we can just remove the xgboost stuff in the setup.py and update the docs at https://ml.dask.org/xgboost.html to use it. People should just use `xgboost.dask`, and there's really no...

> To use the xgboost function, call it directly from xgboost.dask Correct. > Delete dask-ml / xgboost.py We'll want to add a deprecation warning to that model that emits when...

Sounds like a bad scikit-learn install. Can you try creating a new environment? On Tue, Dec 7, 2021 at 9:02 AM patilaum ***@***.***> wrote: > *What happened*: I installed dask...

Thanks. Looking into that now. On Mon, Dec 9, 2019 at 12:54 PM Matthew Rocklin wrote: > > https://github.com/dask/dask-labextension#configuration-of-dask-cluster-management > > > On Mon, Dec 9, 2019 at 10:51 AM...

Thanks. I think I'm struggling a bit with how to "distribute" this config setting. I think this will be fine for running the tutorial on binder. We'll just dump ```json...

Hmm, we could make the tutorial a jupyterlab "app" and have them run `jupyter lab --app-dir=.` or something like that. Will see if it's possible t3o do that.

Thanks for the link Adrian. To minimize our maintenance burden, I'd aim for the goal that our `model_selection` estimators work with any model implementing the scikit-learn interface, and encourage the...

Are you able to reproduce the CI failure locally?

Looking into the CI now, over in #529

I'm not sure yet. I haven't seen it locally either. On Sun, Oct 20, 2019 at 11:12 AM Scott Sievert wrote: > I'm getting CI errors on Azure on >...