8000 DOC: Use notebook-style plot_dict_face_patches.py by teunpe · Pull Request #22929 · scikit-learn/scikit-learn · GitHub
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DOC: Use notebook-style plot_dict_face_patches.py #22929

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Merged
merged 4 commits into from
Apr 8, 2022
Merged

DOC: Use notebook-style plot_dict_face_patches.py #22929

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b6eba4c
Update plot_dict_face_patches.py
teunpe Mar 23, 2022
a0f3ce6
Merge branch 'main' into DOC-Update-notebook-style-example-plot_dict_…
jeremiedbb Mar 23, 2022
baa41dd
tweaks
lesteve Apr 8, 2022
c1d7b86
Move imports in the cell they are first used
lesteve Apr 8, 2022
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28 changes: 18 additions & 10 deletions examples/cluster/plot_dict_face_patches.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
"""
Online learning of a dictionary of parts of faces
==================================================
=================================================

This example uses a large dataset of faces to learn a set of 20 x 20
images patches that constitute faces.
Expand All @@ -21,20 +21,24 @@

"""

import time

import matplotlib.pyplot as plt
import numpy as np

# %%
# Load the data
# -------------

from sklearn import datasets
from sklearn.cluster import MiniBatchKMeans
from sklearn.feature_extraction.image import extract_patches_2d

faces = datasets.fetch_olivetti_faces()

# #############################################################################
# %%
# Learn the dictionary of images
# ------------------------------

import time

import numpy as np

from sklearn.cluster import MiniBatchKMeans
from sklearn.feature_extraction.image import extract_patches_2d

print("Learning the dictionary... ")
rng = np.random.RandomState(0)
Expand Down Expand Up @@ -64,8 +68,12 @@
dt = time.time() - t0
print("done in %.2fs." % dt)

# #############################################################################
# %%
# Plot the results
# ----------------

import matplotlib.pyplot as plt

plt.figure(figsize=(4.2, 4))
for i, patch in enumerate(kmeans.cluster_centers_):
plt.subplot(9, 9, i + 1)
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