sklearn.utils
.indexable¶
- sklearn.utils.indexable(*iterables)[source]¶
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
.