gen_even_slices (original) (raw)
sklearn.utils.gen_even_slices(n, n_packs, *, n_samples=None)[source]#
Generator to create n_packs evenly spaced slices going up to n.
If n_packs does not divide n, except for the first n % n_packsslices, remaining slices may contain fewer elements.
Parameters:
nint
Size of the sequence.
n_packsint
Number of slices to generate.
n_samplesint, 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 representing a set of indices from 0 to n.
See also
Generator to create slices containing batch_size elements from 0 to n.
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)]