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Results 51 - 60 of 180 for v (0.04 sec)

  1. sklearn.ensemble.HistGradientBoostingRegressor ...

    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.ensemble.HistGradientBoostingRegressor.html
    Sat May 18 15:26:00 UTC 2024
      80.1K bytes
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  2. sklearn.linear_model.ElasticNet — scikit-learn ...

    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.ElasticNet.html
    Sat May 18 15:26:01 UTC 2024
      77.6K bytes
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  3. sklearn.linear_model.LassoCV — scikit-learn 1.4...

    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.LassoCV.html
    Sat May 18 15:26:01 UTC 2024
      80.3K bytes
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  4. sklearn.linear_model.ARDRegression — scikit-lea...

    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.ARDRegression.html
    Sat May 18 15:26:00 UTC 2024
      54.7K bytes
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  5. sklearn.linear_model.OrthogonalMatchingPursuitC...

    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.OrthogonalMatchingPursuitCV.html
    Sat May 18 15:26:00 UTC 2024
      49.8K bytes
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  6. Why Everybody Hates Apple's New iPad Pro 'Crush...

    Jason V Brock 4 days ago This is a terrible...
    digg.com/internet-culture/link/apple-ipad-commercial-hot-takes-tweets-memes
    Mon May 13 01:19:35 UTC 2024
      142.4K bytes
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  7. sklearn.ensemble.ExtraTreesRegressor — scikit-l...

    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.ensemble.ExtraTreesRegressor.html
    Sat May 18 15:26:00 UTC 2024
      77.8K bytes
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  8. sklearn.kernel_ridge.KernelRidge — scikit-learn...

    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.kernel_ridge.KernelRidge.html
    Sat May 18 15:26:01 UTC 2024
      54.8K bytes
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  9. sklearn.tree.DecisionTreeRegressor — scikit-lea...

    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.tree.DecisionTreeRegressor.html
    Sat May 18 15:26:00 UTC 2024
      88.7K bytes
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  10. After 40 Years In The Making, Francis Ford Copp...

    Login to leave a comment Jason V Brock 1 day ago This looks cool....
    digg.com/digg-vids/link/francis-ford-coppolas-megapolis-adam-driver-trailer-video
    Fri May 17 01:17:59 UTC 2024
      135.2K bytes
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