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  1. graphical_lasso — scikit-learn 1.7.1 documentation

    mode = 'cd' , tol = 0.0001 , enet_tol = 0.0001 , max_iter = 100...100 , verbose = False , return_costs = False , eps = np.float64...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.graphical_lasso.html
    Sat Aug 23 16:32:03 UTC 2025
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  2. Lasso — scikit-learn 1.7.1 documentation

    copy_X = True , max_iter = 1000 , tol = 0.0001 , warm_start = False...l1_ratio = 0.5 , eps = 0.001 , n_alphas = 100 , alphas = None ,...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html
    Sat Aug 23 16:32:03 UTC 2025
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  3. Comparison of Calibration of Classifiers — scik...

    range = ( 0 , 1 ), bins = 10 , label = name , color = colors...n_features = 20 , n_informative = 2 , n_redundant = 2 , random_state...
    scikit-learn.org/stable/auto_examples/calibration/plot_compare_calibration.html
    Sat Aug 23 16:32:04 UTC 2025
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  4. Logistic function — scikit-learn 1.7.1 document...

    xmax = - 5 , 5 n_samples = 100 np . random . seed ( 0 ) X = np...X > 0 ] *= 4 X += 0.3 * np . random . normal ( size = n_samples...
    scikit-learn.org/stable/auto_examples/linear_model/plot_logistic.html
    Sat Aug 23 16:32:03 UTC 2025
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  5. Online learning of a dictionary of parts of fac...

    n_clusters = 81 , random_state = rng , verbose = True , n_init = 3 )...data ) index += 1 if index % 10 == 0 : data = np . concatenate...
    scikit-learn.org/stable/auto_examples/cluster/plot_dict_face_patches.html
    Sat Aug 23 16:32:03 UTC 2025
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  6. Segmenting the picture of greek coins in region...

    assign_labels = assign_labels , random_state = 42 , ) t1 = time . time...plt . contour ( labels == l , colors = colors ) # To view individual...
    scikit-learn.org/stable/auto_examples/cluster/plot_coin_segmentation.html
    Sat Aug 23 16:32:03 UTC 2025
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  7. Non-negative least squares — scikit-learn 1.7.1...

    reg_nnls = LinearRegression ( positive = True ) y_pred_nnls = reg_nnls..., linewidth = 0 , marker = "." ) low_x , high_x = ax . get_xlim...
    scikit-learn.org/stable/auto_examples/linear_model/plot_nnls.html
    Sat Aug 23 16:32:03 UTC 2025
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  8. plot_pca_iris.rst.txt

    py: ========== Principal Component Analysis...Analysis (PCA) on Iris Dataset ========== This example shows a well...
    scikit-learn.org/stable/_sources/auto_examples/decomposition/plot_pca_iris.rst.txt
    Thu Aug 21 16:13:27 UTC 2025
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  9. GroupKFold — scikit-learn 1.7.1 documentation

    index=[2 3], group=[2 2] Test: index=[0 1 4 5], group=[0 0 3...index=[0 1 4 5], group=[0 0 3 3] Test: index=[2 3], group=[2 2]...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupKFold.html
    Sat Aug 23 16:32:04 UTC 2025
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  10. RepeatedStratifiedKFold — scikit-learn 1.7.1 do...

    n_splits = 5 , n_repeats = 10 , random_state = None ) [source]...( n_splits = 2 , n_repeats = 2 , ... random_state = 36851234 )...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedStratifiedKFold.html
    Sat Aug 23 16:32:04 UTC 2025
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