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DOC add meaning of max_patches=None in _compute_n_patches #25999

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merged 4 commits into from
Jun 26, 2023
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DOC add meaning of max_patches=None in _compute_n_patches #25999

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89de3d3
Update image.py
Ily83 Mar 28, 2023
d52850e
Update sklearn/feature_extraction/image.py
Ily83 Apr 4, 2023
81331e7
Update image.py
Ily83 Apr 4, 2023
155cdc7
Merge remote-tracking branch 'origin/main' into pr/Ily83/25999
glemaitre Jun 26, 2023
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3 changes: 3 additions & 0 deletions sklearn/feature_extraction/image.py
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Original file line number Diff line number Diff line change
Expand Up @@ -262,6 +262,7 @@ def _compute_n_patches(i_h, i_w, p_h, p_w, max_patches=None):
The maximum number of patches to extract. If max_patches is a float
between 0 and 1, it is taken to be a proportion of the total number
of patches.
If max_patches=None then the total number of patches will be extracted.
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"""
n_h = i_h - p_h + 1
n_w = i_w - p_w + 1
Expand Down Expand Up @@ -372,6 +373,8 @@ def extract_patches_2d(image, patch_size, *, max_patches=None, random_state=None
The maximum number of patches to extract. If `max_patches` is a float
between 0 and 1, it is taken to be a proportion of the total number
of patches.
If max_patches=None then the total number of patches will be extracted.

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random_state : int, RandomState instance, default=None
Determines the random number generator used for random sampling when
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