17568750c85c2cbc3c41b22a4b3498006cd0ed67,dask_ml/utils.py,,check_array,#Any#,89

Before Change

    and passed to scikit-learn"s ``check_array`` with all the additional
    arguments.
    
    accept_dask_array = kwargs.pop("accept_dask_array", True)
    preserve_pandas_dataframe = kwargs.pop("preserve_pandas_dataframe", False)
    accept_dask_dataframe = kwargs.pop("accept_dask_dataframe", False)
    accept_unknown_chunks = kwargs.pop("accept_unknown_chunks", False)
    accept_multiple_blocks = kwargs.pop("accept_multiple_blocks", False)

After Change

            if min(array.chunks[0]) == 0:
                // scikit-learn does not gracefully handle length-0 chunks
                // in some cases (e.g. pairwise_distances).
                chunks2 = tuple(x for x in array.chunks[0] if x != 0)
                array = array.rechunk({0: chunks2})

        // hmmm, we want to catch things like shape errors.

Instances