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  1. OneToOneFeatureMixin — scikit-learn 1.7.0 docum...

    This mixin assumes there’s a 1-to-1 correspondence between input...shape [ 1 ] ... return self >>> X = np . array ([[ 1 , 2 ], [...
    scikit-learn.org/stable/modules/generated/sklearn.base.OneToOneFeatureMixin.html
    Fri Jun 06 09:13:46 UTC 2025
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  2. ParameterSampler — scikit-learn 1.7.0 documenta...

    'a' : 1 }, ... { 'b' : 0.923223 , 'a' : 1 }, ... { 'b' : 1.878964...0 ) >>> param_grid = { 'a' :[ 1 , 2 ], 'b' : expon ()} >>> param_list...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterSampler.html
    Fri Jun 06 09:13:47 UTC 2025
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  3. Version 0.15 — scikit-learn 1.7.0 documentation

    Ben-Meshulam 1 Yury V. Zaytsev 1 adrinjalali 1 ai8rahim 1 alemagnani 1 alex...jamestwebber 1 matrixorz 1 popo 1 samuela 1 François Boulogne 1 Alexander...
    scikit-learn.org/stable/whats_new/v0.15.html
    Fri Jun 06 09:13:47 UTC 2025
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  4. SparsePCA — scikit-learn 1.7.0 documentation

    means 1 unless in a joblib.parallel_backend context. -1 means...n_components = None , * , alpha = 1 , ridge_alpha = 0.01 , max_iter...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparsePCA.html
    Fri Jun 06 09:13:47 UTC 2025
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  5. binarize — scikit-learn 1.7.0 documentation

    1., 0.], [1., 0., 0.]]) On this page...are replaced by 0, above it by 1. Threshold may not be less than...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.binarize.html
    Fri Jun 06 09:13:46 UTC 2025
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  6. SVM Tie Breaking Example — scikit-learn 1.7.0 d...

    1 ] . min (), X [:, 1 ] . max ()] xs = np...xlim [ 1 ], 1000 ) ys = np . linspace ( ylim [ 0 ], ylim [ 1 ], 1000...
    scikit-learn.org/stable/auto_examples/svm/plot_svm_tie_breaking.html
    Fri Jun 06 09:13:47 UTC 2025
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  7. ShrunkCovariance — scikit-learn 1.7.0 documenta...

    1 ) [source] # Covariance estimator...computation. shrinkage float, default=0.1 Coefficient in the convex combination...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.ShrunkCovariance.html
    Fri Jun 06 09:13:47 UTC 2025
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  8. Visualizing the probabilistic predictions of a ...

    uniform ( low =- 1 , high = 1 , size = ( n_samples , 2...> 0 , xor [ "Feature #1" ] + noise [:, 1 ] > 0 ) X = xor [ feature_names...
    scikit-learn.org/stable/auto_examples/ensemble/plot_voting_decision_regions.html
    Fri Jun 06 09:13:46 UTC 2025
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  9. Installing scikit-learn — scikit-learn 1.7.0 do...

    Scikit-learn 1.0 supported Python 3.7—3.10. Scikit-learn 1.1, 1.2 and...and 1.3 supported Python 3.8—3.12. Scikit-learn 1.4 and 1.5 supported...
    scikit-learn.org/stable/install.html
    Fri Jun 06 09:13:47 UTC 2025
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  10. DistanceMetric — scikit-learn 1.7.0 documentation

    get_metric ( 'euclidean' ) >>> X = [[ 1 , 2 ], [ 3 , 4 ], [ 5 , 6 ]] >>>...10.63...] [5.65..., 8.48...] [1.41..., 4.24...]]) Available Metrics...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.DistanceMetric.html
    Fri Jun 06 09:13:47 UTC 2025
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