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  1. plot_discretization_strategies.py

    quantile': The discretization is done on the quantiled values, which...
    scikit-learn.org/stable/_downloads/43e84df0b93ff974da370e8da900f2ee/plot_discretization_strategie...
    Tue Apr 30 16:14:28 UTC 2024
      3K bytes
     
  2. plot_discretization_strategies.rst.txt

    quantile': The discretization is done on the quantiled values, which...
    scikit-learn.org/stable/_sources/auto_examples/preprocessing/plot_discretization_strategies.rst.txt
    Tue Apr 30 16:14:29 UTC 2024
      5.6K bytes
     
  3. plot_discretization_strategies.ipynb

    quantile': The discretization is done on the quantiled values, which...
    scikit-learn.org/stable/_downloads/adc9be3b7acc279025dad9ee4ce92038/plot_discretization_strategie...
    Tue Apr 30 16:14:28 UTC 2024
      3.8K bytes
     
  4. plot_multi_metric_evaluation.ipynb

    metric parameter search can be done by setting the ``scoring``\nparameter...
    scikit-learn.org/stable/_downloads/f57e1ee55d4c7a51949d5c26b3af07bb/plot_multi_metric_evaluation....
    Tue Apr 30 16:14:29 UTC 2024
      4.8K bytes
     
  5. plot_multi_metric_evaluation.py

    metric parameter search can be done by setting the ``scoring`` parameter...
    scikit-learn.org/stable/_downloads/dedbcc9464f3269f4f012f4bfc7d16da/plot_multi_metric_evaluation.py
    Tue Apr 30 16:14:29 UTC 2024
      3.6K bytes
     
  6. plot_multi_metric_evaluation.rst.txt

    metric parameter search can be done by setting the ``scoring`` parameter...
    scikit-learn.org/stable/_sources/auto_examples/model_selection/plot_multi_metric_evaluation.rst.txt
    Tue Apr 30 16:14:29 UTC 2024
      6.4K bytes
     
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