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  1. SGD: convex loss functions — scikit-learn...

    = ( 1 - z [ z >= - 1 ]) ** 2 loss [ z >= 1.0 ] = 0 return...linspace ( xmin , xmax , 100 ) lw = 2 plt . plot ([ xmin , 0 , 0 , xmax...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_loss_functions.html
    Mon Mar 09 14:07:53 UTC 2026
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  2. make_circles — scikit-learn 1.8.0 documen...

    n_samples int or tuple of shape (2,), dtype=int, default=100 If int,...ndarray of shape (n_samples, 2) The generated samples. y ndarray...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_circles.html
    Mon Mar 09 14:07:57 UTC 2026
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  3. CCA — scikit-learn 1.8.0 documentation

    [ 2. , 2. , 2. ], [ 3. , 5. , 4. ]] >>>...y = [[ 0.1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ], [ 11.9 ,...
    scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.CCA.html
    Mon Mar 09 14:07:54 UTC 2026
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  4. Lars — scikit-learn 1.8.0 documentation

    float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...n_nonzero_coefs = 500 , eps = np.float64(2.220446049250313e-16) , copy_X...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lars.html
    Mon Mar 09 14:07:53 UTC 2026
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  5. as_float_array — scikit-learn 1.8.0 docum...

    2 , 2 ], dtype = np . int64 ) >>>...array ) array([0., 0., 1., 2., 2.]) On this page This Page...
    scikit-learn.org/stable/modules/generated/sklearn.utils.as_float_array.html
    Thu Mar 05 14:15:27 UTC 2026
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  6. v030121.3 – Elastic Information Security Addend...

    2. THIRD-PARTY SERVICE PROVIDERS...certifications such as a SOC 2 report), and reasonably assure...
    www.elastic.co/pdf/elastic-information-security-addendum-consolidated-v030121-3.pdf
    Mon Mar 09 01:56:35 UTC 2026
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  7. Compressive sensing: tomography reconstruction ...

    x - l / 2.0 ) ** 2 + ( y - l / 2.0 ) ** 2 < ( l / 2.0 ) **...** 2 mask = np . zeros (( l , l )) points = l * rs . rand ( 2 ,...
    scikit-learn.org/stable/auto_examples/applications/plot_tomography_l1_reconstruction.html
    Mon Mar 09 14:07:56 UTC 2026
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  8. Feature agglomeration vs. univariate selection ...

    selection # This example compares 2 dimensionality reduction strategies:.... randn ( n_samples , size ** 2 ) for x in X : # smooth data x...
    scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection....
    Mon Mar 09 14:07:56 UTC 2026
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  9. Speicherkonfiguration

    export FESS_HEAP_SIZE = 2 g Einheiten: m : Megabyte g :.../etc/sysconfig/fess . FESS_HEAP_SIZE = 2 g Bei DEB-Paketen bearbeiten Sie...
    fess.codelibs.org/de/15.3/config/setup-memory.html
    Mon Dec 22 02:41:26 UTC 2025
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  10. Using KBinsDiscretizer to discretize continuous...

    subplots ( ncols = 2 , sharey = True , figsize = (...predict ( line ), linewidth = 2 , color = "green" ,...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization.html
    Mon Mar 09 14:07:53 UTC 2026
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