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  1. Demonstration of multi-metric evaluation on cro...

    datasets import make_hastie_10_2 from sklearn.metrics import accuracy_score...metrics # X , y = make_hastie_10_2 ( n_samples = 8000 , random_state...
    scikit-learn.org/stable/auto_examples/model_selection/plot_multi_metric_evaluation.html
    Mon Sep 08 19:15:59 UTC 2025
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  2. load_sample_images — scikit-learn 1.7.2 documen...

    images ) 2 >>> first_img_data = dataset ....
    scikit-learn.org/stable/modules/generated/sklearn.datasets.load_sample_images.html
    Mon Sep 08 19:15:58 UTC 2025
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  3. Version 0.17 — scikit-learn 1.7.2 documentation

    different filenames under Python 2 and Python 3 to avoid pickling...
    scikit-learn.org/stable/whats_new/v0.17.html
    Mon Sep 08 19:15:59 UTC 2025
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  4. Glossary of Common Terms and API Elements — sci...

    2], 2 is the positive class; of [‘no’,...array whose .shape has length 2. Often represents a matrix. API...
    scikit-learn.org/stable/glossary.html
    Mon Sep 08 19:16:01 UTC 2025
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  5. Faces recognition example using eigenfaces and ...

    for machine learning we use the 2 data directly (as relative pixel...figure ( figsize = ( 1.8 * n_col , 2.4 * n_row )) plt . subplots_adjust...
    scikit-learn.org/stable/auto_examples/applications/plot_face_recognition.html
    Mon Sep 08 19:15:59 UTC 2025
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  6. Plot Ridge coefficients as a function of the re...

    - 2 , n_alphas ) coefs = [] for a...
    scikit-learn.org/stable/auto_examples/linear_model/plot_ridge_path.html
    Mon Sep 08 19:15:59 UTC 2025
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  7. Bisecting K-Means and Regular K-Means Performan...

    centers = 2 , random_state = random_state...
    scikit-learn.org/stable/auto_examples/cluster/plot_bisect_kmeans.html
    Mon Sep 08 19:15:59 UTC 2025
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  8. Kernel Density Estimation — scikit-learn 1.7.2 ...

    This example shows how kernel density estimation (KDE), a powerful non-parametric density estimation technique, can be used to learn a generative model for a dataset. With this generative model in ...
    scikit-learn.org/stable/auto_examples/neighbors/plot_digits_kde_sampling.html
    Mon Sep 08 19:15:59 UTC 2025
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  9. sklearn.preprocessing — scikit-learn 1.7.2 docu...

    Methods for scaling, centering, normalization, binarization, and more. User guide. See the Preprocessing data section for further details.
    scikit-learn.org/stable/api/sklearn.preprocessing.html
    Mon Sep 08 19:16:00 UTC 2025
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  10. load_digits — scikit-learn 1.7.2 documentation

    Gallery examples: Recognizing hand-written digits Feature agglomeration Various Agglomerative Clustering on a 2D embedding of digits A demo of K-Means clustering on the handwritten digits data Sele...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html
    Mon Sep 08 19:16:00 UTC 2025
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