sklearn.utils.gen_even_slices¶
-
sklearn.utils.gen_even_slices(n, n_packs, *, n_samples=None)[source]¶ Generator to create n_packs slices going up to n.
- Parameters
- nint
- n_packsint
Number of slices to generate.
- n_samplesint or None (default = None)
Number of samples. Pass n_samples when the slices are to be used for sparse matrix indexing; slicing off-the-end raises an exception, while it works for NumPy arrays.
- Yields
- slice
Examples
>>> from sklearn.utils import gen_even_slices >>> list(gen_even_slices(10, 1)) [slice(0, 10, None)] >>> list(gen_even_slices(10, 10)) [slice(0, 1, None), slice(1, 2, None), ..., slice(9, 10, None)] >>> list(gen_even_slices(10, 5)) [slice(0, 2, None), slice(2, 4, None), ..., slice(8, 10, None)] >>> list(gen_even_slices(10, 3)) [slice(0, 4, None), slice(4, 7, None), slice(7, 10, None)]
