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Pushing the docs to dev/ for branch: master, commit d3f8b1e1315a98db507d2b2f64f0748282952333
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dev/_downloads/plot_lle_digits.ipynb

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dev/_downloads/plot_lle_digits.py

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@@ -48,14 +48,14 @@ def plot_embedding(X, title=None):
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plt.figure()
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ax = plt.subplot(111)
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for i in range(X.shape[0]):
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plt.text(X[i, 0], X[i, 1], str(digits.target[i]),
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plt.text(X[i, 0], X[i, 1], str(y[i]),
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color=plt.cm.Set1(y[i] / 10.),
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fontdict={'weight': 'bold', 'size': 9})
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if hasattr(offsetbox, 'AnnotationBbox'):
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# only print thumbnails with matplotlib > 1.0
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shown_images = np.array([[1., 1.]]) # just something big
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for i in range(digits.data.shape[0]):
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for i in range(X.shape[0]):
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dist = np.sum((X[i] - shown_images) ** 2, 1)
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if np.min(dist) < 4e-3:
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# don't show points that are too close

dev/_downloads/scikit-learn-docs.pdf

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dev/_sources/auto_examples/applications/plot_face_recognition.rst.txt

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dev/_sources/auto_examples/applications/plot_model_complexity_influence.rst.txt

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dev/_sources/auto_examples/applications/plot_out_of_core_classification.rst.txt

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dev/_sources/auto_examples/applications/plot_outlier_detection_housing.rst.txt

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dev/_sources/auto_examples/applications/plot_prediction_latency.rst.txt

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