Dante Gama Dessavre comments

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                                            Dante Gama Dessavre

Avoid extra memory copy when using cp.concatenate in cuml.dask kmeans

/merge

Avoid extra memory copy when using cp.concatenate in cuml.dask kmeans

/merge

First pass of removing tests, codepaths and other bits related to CUDA 11

/ok to test 662f891

Make `get_param_names` a class method on single GPU estimators to match Scikit-learn closer

lol because I wrote a script to do this and only checked `.py` files instead of `.pyx` files too

Make `get_param_names` a class method on single GPU estimators to match Scikit-learn closer

@betatim good point, I think matching as close as possible (i.e. entirely) is a good idea

Make `get_param_names` a class method on single GPU estimators to match Scikit-learn closer

@betatim the ones that haven't changed to be class methods are the dask-based estimators, currently they depend on some runtime behavior, I would suggest we do those on a follow...

Make `get_param_names` a class method on single GPU estimators to match Scikit-learn closer

/merge

[QST] list of cuml-cpu available module

Thanks for the report @busFred, that corner case indeed is something we did not think about. Have been working significantly on improvements to the are around cuml-cpu, and will be...

[QST]Why is cuml GPU dozens of times slower than scikit-learn CPU in Lasso，Ridge and ElasticNet models?

Thanks for the issue @JiayuChen02, I just tried your code on a machine with a T4 and this is the results I got: ``` {'alpha': 0.001, 'copy_X': True, 'fit_intercept': True,...

[FEA] Convert Dask into an optional dependency

@beckernick the code in cuML already has [this capability](https://github.com/rapidsai/cuml/blob/6342914f3ad8460da70c2b53cdedd84657531a0b/python/cuml/dask/ensemble/__init__.py#L19) (it enables cuml-cpu), all the way to the import structure. The main challenge is making it super easy to users to...