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  1. QuantileRegressor — scikit-learn 1.5.0 document...

    is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.QuantileRegressor.html
    Wed Jun 05 00:53:47 UTC 2024
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  2. homogeneity_score — scikit-learn 1.5.0 document...

    v_measure_score V-Measure (NMI with arithmetic...Rosenberg and Julia Hirschberg, 2007. V-Measure: A conditional entropy-based...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.homogeneity_score.html
    Wed Jun 05 00:53:45 UTC 2024
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  3. About us — scikit-learn 1.6.dev0 documentation

    V . and Thirion , B . and Grisel...and Weiss , R . and Dubourg , V . and Vanderplas , J . and Passos...
    scikit-learn.org/dev/about.html
    Wed Jun 05 00:53:45 UTC 2024
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  4. LassoLarsIC — scikit-learn 1.5.0 documentation

    is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsIC.html
    Wed Jun 05 00:53:46 UTC 2024
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  5. TransformedTargetRegressor — scikit-learn 1.5.0...

    is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...
    scikit-learn.org/stable/modules/generated/sklearn.compose.TransformedTargetRegressor.html
    Wed Jun 05 00:53:46 UTC 2024
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  6. IsotonicRegression — scikit-learn 1.5.0 documen...

    is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...
    scikit-learn.org/stable/modules/generated/sklearn.isotonic.IsotonicRegression.html
    Wed Jun 05 00:53:45 UTC 2024
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  7. RidgeCV — scikit-learn 1.5.0 documentation

    is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeCV.html
    Wed Jun 05 00:53:46 UTC 2024
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  8. Photo: Latest Compelling Image Galleries. Photo...

    life-or-death issue at home Frank Thorp V / NBC News EXCLUSIVE Speaker Mike...gavel are behind him Frank Thorp V / NBC News Congress A bipartisan...
    www.nbcnews.com/photos
    Wed Jun 05 00:52:52 UTC 2024
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  9. 1.2. Linear and Quadratic Discriminant Analysis...

    X_k^tX_k = \frac{1}{n - 1} V S^2 V^t\) where \(V\) comes from the SVD...(centered) matrix: \(X_k = U S V^t\) . It turns out that we can...
    scikit-learn.org/stable/modules/lda_qda.html
    Wed Jun 05 00:53:46 UTC 2024
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  10. RegressorMixin — scikit-learn 1.5.0 documentation

    is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...
    scikit-learn.org/stable/modules/generated/sklearn.base.RegressorMixin.html
    Wed Jun 05 00:53:45 UTC 2024
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