Mehmet Seflek

Yeah, there is a `is_pdf` check as well. Sure I can do a PR. It'll be my first for a FOSS project. Exciting!

Unfortunately that doesn't seem to be the case. I changed it to: ```python param_grid={ 'n_estimators': da.from_array(np.arange(15, 105, 15)) }, ``` and got this: ```python ValueError: Parameter grid for parameter (n_estimators)...

I see. Thanks for the insight @trivialfis and @jakirkham. Not sure if this is already in the documentation but would be great if that could be clarified. I'll run some...

Answering my own benchmarking question: on 4 x Nvidia V100 GPUs: ### `xgboost.XGBClassifier` with `dask_ml.model_selection.GridSearchCV` ```python import dask.array as da import dask.dataframe as dd import numpy as np from sklearn.datasets...

> I think using the sklearn grid search will pull the data to workers arbitrarily. Meaning that the results from the GridsearchCV will be invalid?

bumping this issue as I'm having the same problem.

No worries! thanks for providing an update!

Fantastic, thank you!