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  1. plot_release_highlights_1_7_0.py

    Release Highlights for scikit-learn 1.7 ========== .. currentmodule::...announce the release of scikit-learn 1.7! Many bug fixes and improvements...
    scikit-learn.org/stable/_downloads/27dd4dbb41dee53fc86e0d5b6d3254d3/plot_release_highlights_1_7_0.py
    Tue Sep 16 14:38:52 UTC 2025
      4.7K bytes
     
  2. safe_sqr — scikit-learn 1.7.2 documentation

    safe_sqr >>> safe_sqr ([ 1 , 2 , 3 ]) array([1, 4, 9]) On this page...
    scikit-learn.org/stable/modules/generated/sklearn.utils.safe_sqr.html
    Wed Sep 17 19:57:59 UTC 2025
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  3. Robust linear model estimation using RANSAC — s...

    n_features = 1 , n_informative = 1 , noise = 10 , coef...normal ( size = ( n_outliers , 1 )) y [: n_outliers ] = - 3 + 10...
    scikit-learn.org/stable/auto_examples/linear_model/plot_ransac.html
    Wed Sep 17 19:58:00 UTC 2025
      93.4K bytes
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  4. murmurhash3_32 — scikit-learn 1.7.2 documentation

    unsigned int from 0 to 2 ** 32 - 1 False: the results is casted to...from -(2 ** 31) to 2 ** 31 - 1 Examples >>> from sklearn.utils...
    scikit-learn.org/stable/modules/generated/sklearn.utils.murmurhash3_32.html
    Wed Sep 17 19:58:00 UTC 2025
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  5. Frequently Asked Questions — scikit-learn 1.7.2...

    reshape ( - 1 , 1 ) >>> X array([[0], [1], [2]]) >>> # We...'brute' ) (array([0, 1]), array([ 0, 0, -1])) Note that the example...
    scikit-learn.org/stable/faq.html
    Wed Sep 17 19:57:59 UTC 2025
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  6. plot_release_highlights_1_7_0.ipynb

    Release Highlights for scikit-learn 1.7\n\n.. currentmodule:: sklearn\n\nWe...announce the release of scikit-learn 1.7! Many bug fixes\nand improvements...
    scikit-learn.org/stable/_downloads/b7d178d09f44d400894015228deb0ddb/plot_release_highlights_1_7_0...
    Tue Sep 16 14:38:55 UTC 2025
      6.1K bytes
     
  7. isotonic_regression — scikit-learn 1.7.2 docume...

    weight is set to 1 (equal weights). y_min float,...isotonic_regression ([ 5 , 3 , 1 , 2 , 8 , 10 , 7 , 9 , 6 , 4 ])...
    scikit-learn.org/stable/modules/generated/sklearn.isotonic.isotonic_regression.html
    Wed Sep 17 19:57:59 UTC 2025
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  8. check_cv — scikit-learn 1.7.2 documentation

    y = [ 1 , 1 , 0 , 0 , 0 , 0 ], classifier...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.check_cv.html
    Wed Sep 17 19:57:59 UTC 2025
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  9. 2.5. Decomposing signals in components (matrix ...

    ([[ 1 , 0 ], [ 1 , 6.1 ], [ 1 , 0 ], [ 1 , 4 ], [ 3.2 , 1 ], [...array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...
    scikit-learn.org/stable/modules/decomposition.html
    Wed Sep 17 19:58:00 UTC 2025
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  10. Calibration — scikit-learn 1.7.2 documentation

    Examples illustrating the calibration of predicted probabilities of classifiers. Comparison of Calibration of Classifiers Probability Calibration curves Probability Calibration for 3-class classifi...
    scikit-learn.org/stable/auto_examples/calibration/index.html
    Wed Sep 17 19:57:59 UTC 2025
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