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  1. Vector Quantization Example — scikit-learn 1.8....

    bin_edges [: - 1 ] + ( bin_edges [ 1 :] - bin_edges [: - 1 ]) / 2 bin_center...bin_edges [: - 1 ] + ( bin_edges [ 1 :] - bin_edges [: - 1 ]) / 2 bin_center...
    scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html
    Mon Mar 23 20:39:20 UTC 2026
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  2. WebSocketTransportRegistration (Spring Framewor...

    000 (1 minute). Parameters: timeToFirstMessage...allowed in milliseconds Since: 5.1 getTimeToFirstMessag protected...
    docs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/web/socket/config/an...
    Fri Feb 01 00:00:00 UTC 1980
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  3. 1.5. Stochastic Gradient Descent — scikit-learn...

    [ 1. , 1. ]] >>> y = [ 0 , 1 ] >>> clf = SGDClassifier...\Vert^2 + b\nu + \frac{1}{n} \sum_{i=1}^n \max(0, 1 - (\langle w, x_i...
    scikit-learn.org/stable/modules/sgd.html
    Mon Mar 23 20:39:20 UTC 2026
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  4. Examples of Using FrozenEstimator — scikit-lear...

    same three data points: [1 1 1] Now imagine you’d want to set...scikit-learn 1.5 Release Highlights for scikit-learn 1.5 Probability...
    scikit-learn.org/stable/auto_examples/frozen/plot_frozen_examples.html
    Mon Mar 23 20:39:22 UTC 2026
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  5. Orthogonal Matching Pursuit — scikit-learn 1.8....

    1 , 1 ) plt . xlim ( 0 , 512 ) plt...make_sparse_coded_signal ( n_samples = 1 , n_components = n_components...
    scikit-learn.org/stable/auto_examples/linear_model/plot_omp.html
    Mon Mar 23 20:39:22 UTC 2026
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  6. fast_logdet — scikit-learn 1.8.0 document...

    1 ], [ 2 , 8 ]]) >>> fast_logdet...
    scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.fast_logdet.html
    Mon Feb 02 09:23:44 UTC 2026
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  7. Comparison of Calibration of Classifiers — scik...

    1 ) proba_neg_class = 1 - proba_pos_class proba...[( 2 , 0 ), ( 2 , 1 ), ( 3 , 0 ), ( 3 , 1 )] for i , ( _ , name...
    scikit-learn.org/stable/auto_examples/calibration/plot_compare_calibration.html
    Mon Mar 23 20:39:22 UTC 2026
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  8. SGD: Weighted samples — scikit-learn 1.8.0 docu...

    ) + [ 1 , 1 ], np . random . randn ( 10 , 2 )] y = [ 1 ] * 10...10 + [ - 1 ] * 10 sample_weight = 100 * np . abs ( np . random...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_weighted_samples.html
    Mon Mar 23 20:39:22 UTC 2026
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  9. v_measure_score — scikit-learn 1.8.0 documentation

    1 , 1 ], [ 0 , 0 , 1 , 1 ]) 1.0 >>> v_measure_score...v_measure_score ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 Labelings that...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.v_measure_score.html
    Mon Mar 23 20:39:20 UTC 2026
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  10. Two-class AdaBoost — scikit-learn 1.8.0 documen...

    random_state = 1 ) X2 , y2 = make_gaussian_quantiles...es ( mean = ( 3 , 3 ), cov = 1.5 , n_samples = 300 , n_features...
    scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_twoclass.html
    Mon Mar 23 20:39:20 UTC 2026
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