gen_batches#
- sklearn.utils.gen_batches(n, batch_size, *, min_batch_size=0)[source]#
Generator to create slices containing
batch_sizeelements from 0 ton.The last slice may contain less than
batch_sizeelements, whenbatch_sizedoes not dividen.- Parameters:
- nint
Size of the sequence.
- batch_sizeint
Number of elements in each batch.
- min_batch_sizeint, default=0
Minimum number of elements in each batch.
- Yields:
- slice of
batch_sizeelements
- slice of
See also
gen_even_slicesGenerator to create n_packs slices going up to n.
Examples
>>> from sklearn.utils import gen_batches >>> list(gen_batches(7, 3)) [slice(0, 3, None), slice(3, 6, None), slice(6, 7, None)] >>> list(gen_batches(6, 3)) [slice(0, 3, None), slice(3, 6, None)] >>> list(gen_batches(2, 3)) [slice(0, 2, None)] >>> list(gen_batches(7, 3, min_batch_size=0)) [slice(0, 3, None), slice(3, 6, None), slice(6, 7, None)] >>> list(gen_batches(7, 3, min_batch_size=2)) [slice(0, 3, None), slice(3, 7, None)]