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  1. neighbors.rst.txt

    [-2, -1], [-3, -2], [1, 1], [2, 1], [3, 2]]) >>> nbrs...np.array([[-1, -1], [-2, -1], [-3, -2], [1, 1], [2, 1], [3, 2]]) >>> kdt...
    scikit-learn.org/stable/_sources/modules/neighbors.rst.txt
    Fri Jun 06 09:13:46 UTC 2025
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  2. TweedieRegressor — scikit-learn 1.7.0 documenta...

    2 ], [ 2 , 3 ], [ 3 , 4 ], [ 4 , 3 ]] >>> y = [ 2 , 3.5...determination R^2. R^2 uses squared error and D^2 uses the deviance...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.TweedieRegressor.html
    Fri Jun 06 09:13:47 UTC 2025
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  3. lasso_path — scikit-learn 1.7.0 documentation

    is: ( 1 / ( 2 * n_samples )) * || y - Xw ||^ 2_2 + alpha * ||...it is: ( 1 / ( 2 * n_samples )) * || Y - XW ||^ 2 _Fro + alpha...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.lasso_path.html
    Fri Jun 06 09:13:46 UTC 2025
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  4. GammaRegressor — scikit-learn 1.7.0 documentation

    determination R^2. R^2 uses squared error and D^2 uses the deviance...GammaRegressor () >>> X = [[ 1 , 2 ], [ 2 , 3 ], [ 3 , 4 ], [ 4 , 3...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.GammaRegressor.html
    Fri Jun 06 09:13:46 UTC 2025
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  5. StratifiedKFold — scikit-learn 1.7.0 documentation

    2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]]) >>>...n_splits = 2 ) >>> skf . get_n_splits ( X , y ) 2 >>> print (...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedKFold.html
    Fri Jun 06 09:13:47 UTC 2025
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  6. Actor Jonathan Joss murdered in homophobic atta...

    PM on June 2 . posted by mersen at 7:46 PM on June 2 . posted by...on June 2 . 💔 posted by tamarack at 9:46 PM on June 2 [ 1 favorite...
    www.metafilter.com/209031/Actor-Jonathan-Joss-murdered-in-homophobic-attack
    Wed Jun 04 00:55:40 UTC 2025
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  7. CCA — scikit-learn 1.7.0 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
    Fri Jun 06 09:13:47 UTC 2025
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  8. RobustScaler — scikit-learn 1.7.0 documentation

    - 2. , 2. ], ... [ - 2. , 1. , 3. ], ... [ 4. , 1. , - 2. ]]...transform ( X ) array([[ 0. , -2. , 0. ], [-1. , 0. , 0.4], [ 1....
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.RobustScaler.html
    Fri Jun 06 09:13:47 UTC 2025
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  9. plot_hgbt_regression.ipynb

    showcasing all points except 2 and 6 in a real life\nsetting.\n"...label=\"recorded average\", linewidth=2, ax=ax)\n\nfor idx, max_iter in...
    scikit-learn.org/stable/_downloads/cb9a8a373677fb481fe43a11d8fa0e94/plot_hgbt_regression.ipynb
    Fri Jun 06 09:13:47 UTC 2025
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  10. VotingRegressor — scikit-learn 1.7.0 documentation

    float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...X = np . array ([[ 1 , 1 ], [ 2 , 4 ], [ 3 , 9 ], [ 4 , 16 ],...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingRegressor.html
    Fri Jun 06 09:13:46 UTC 2025
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