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  1. haversine_distances — scikit-learn 1.8.0 ...

    with a less than 1% error on average. Examples We...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.haversine_distances.html
    Mon Feb 02 09:23:44 GMT 2026
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  2. Sparse inverse covariance estimation — sc...

    RandomState ( 1 ) prec = make_sparse_spd_matrix...): plt . subplot ( 2 , 4 , i + 1 ) plt . imshow ( this_cov , interpolation...
    scikit-learn.org/stable/auto_examples/covariance/plot_sparse_cov.html
    Mon Feb 02 09:23:44 GMT 2026
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  3. Kernel Density Estimation — scikit-learn ...

    logspace ( - 1 , 1 , 20 )} grid = GridSearchCV...new_data . reshape (( 4 , 11 , - 1 )) real_data = digits . data [:...
    scikit-learn.org/stable/auto_examples/neighbors/plot_digits_kde_sampling.html
    Mon Feb 02 09:23:44 GMT 2026
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  4. PredictionErrorDisplay — scikit-learn 1.8...

    scikit-learn 1.2 Release Highlights for scikit-learn 1.2 On this...Evaluation Guide . Added in version 1.2. Parameters : y_true ndarray...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.PredictionErrorDisplay.html
    Mon Feb 02 09:23:44 GMT 2026
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  5. Species distribution modeling — scikit-le...

    subplot ( 1 , 2 , i + 1 ) if basemap : print ( "...Returns ------- (xgrid, ygrid) : 1-D arrays The grid corresponding...
    scikit-learn.org/stable/auto_examples/applications/plot_species_distribution_modeling.html
    Mon Feb 02 09:23:44 GMT 2026
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  6. Tweedie regression on insurance claims — ...

    tweedie_powers = [ 1.5 , 1.7 , 1.8 , 1.9 , 1.99 , 1.999 , 1.9999 ] scores_product_model...dev p=1.9990 1.914574e+03 1.914370e+03 1.914537e+03 1.914388e+03...
    scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html
    Mon Feb 02 09:23:44 GMT 2026
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  7. Gradient Boosting Out-of-Bag estimates — ...

    subsample < 1.0 ), the estimates are derived...y = random_state . binomial ( 1 , p , size = n_samples ) X = np...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_oob.html
    Mon Feb 02 09:23:44 GMT 2026
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  8. Version 0.20 — scikit-learn 1.8.0 documen...

    1} or {-1, 1} through pos_label parameter....PyPy3-v5.10+, Numpy 1.14.0+, and scipy 1.1.0+ are required. #11010...
    scikit-learn.org/stable/whats_new/v0.20.html
    Mon Feb 02 09:23:44 GMT 2026
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  9. FactorAnalysis — scikit-learn 1.8.0 docum...

    Added in version 1.0. See also PCA Principal component...Machine Learning, Algorithm 21.1. Christopher M. Bishop: Pattern...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.FactorAnalysis.html
    Mon Feb 02 09:23:44 GMT 2026
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  10. Faces recognition example using eigenfaces and ...

    1 )[ - 1 ] true_name = target_names.... rsplit ( " " , 1 )[ - 1 ] return "predicted:...
    scikit-learn.org/stable/auto_examples/applications/plot_face_recognition.html
    Mon Feb 02 09:23:44 GMT 2026
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