sklearn.utils.indexable

sklearn.utils.indexable(*iterables)

Make arrays indexable for cross-validation.

Checks consistent length, passes through None, and ensures that everything can be indexed by converting sparse matrices to csr and converting non-interable objects to arrays.

Parameters:

*iterables{lists, dataframes, ndarrays, sparse matrices}

List of objects to ensure sliceability.

Returns:

resultlist of {ndarray, sparse matrix, dataframe} or None

Returns a list containing indexable arrays (i.e. NumPy array, sparse matrix, or dataframe) or None.