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  1. getting_started.rst.txt

    dataset is easy array([1., 1., 1., 1., 1.]) Automatic parameter...ransform(X) array([[-1., 1.], [ 1., -1.]]) Sometimes, you want...
    scikit-learn.org/stable/_sources/getting_started.rst.txt
    Tue May 28 11:51:32 UTC 2024
      10K bytes
     
  2. decomposition.rst.txt

    array([[1, 1], [2, 1], [3, 1.2], [4, 1], [5, 0.8], [6, 1]]) >>>...np.array([[1, 0], [1, 6.1], [1, 0], [1, 4], [3.2, 1], [0, 4]])...
    scikit-learn.org/stable/_sources/modules/decomposition.rst.txt
    Tue May 28 11:51:33 UTC 2024
      45.8K bytes
      1 views
     
  3. glossary.rst.txt

    ``[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}]`` instead...instead of ``[{1:1}, {2:5}, {3:1}, {4:1}]``. The ``class_weight``...
    scikit-learn.org/stable/_sources/glossary.rst.txt
    Tue May 28 11:51:32 UTC 2024
      89.4K bytes
      1 views
     
  4. grid_search.rst.txt

    {'C': [1, 10, 100, 1000], 'kernel': ['linear']}, {'C': [1, 10,...``loguniform(1, 100)`` can be used instead of ``[1, 10, 100]``....
    scikit-learn.org/stable/_sources/modules/grid_search.rst.txt
    Tue May 28 11:51:33 UTC 2024
      32.8K bytes
      2 views
     
  5. faq.rst.txt

    reshape(-1, 1) >>> X array([[0], [1], [2]]) >>> # We...doctest: +SKIP (array([0, 1]), array([ 0, 0, -1])) Note that the example...
    scikit-learn.org/stable/_sources/faq.rst.txt
    Tue May 28 11:51:34 UTC 2024
      24.5K bytes
      3 views
     
  6. testimonials.rst.txt

    text-box Scikit-learn is our #1 toolkit for all things machine...used for originating at least 1 billion GBP worth of Zopa loans....
    scikit-learn.org/stable/_sources/testimonials/testimonials.rst.txt
    Mon May 27 10:29:29 UTC 2024
      25.7K bytes
      4 views
     
  7. roadmap.rst.txt

    cross-version safety from version 1.0. Note: Gael and Olivier think...
    scikit-learn.org/stable/_sources/roadmap.rst.txt
    Tue May 28 11:51:33 UTC 2024
      11.7K bytes
     
  8. ensemble.rst.txt

    1, 2, np.nan]).reshape(-1, 1) >>> y = [0, 0, 1, 1] >>> gbdt...np.nan, 1, 2, np.nan]).reshape(-1, 1) >>> y = [0, 1, 0, 0, 1] >>>...
    scikit-learn.org/stable/_sources/modules/ensemble.rst.txt
    Tue May 28 11:51:34 UTC 2024
      72.8K bytes
     
  9. neighbors.rst.txt

    array([[-1, -1], [-2, -1], [-3, -2], [1, 1], [2, 1], [3, 2]])...np.array([[-1, -1], [-2, -1], [-3, -2], [1, 1], [2, 1], [3, 2]])...
    scikit-learn.org/stable/_sources/modules/neighbors.rst.txt
    Tue May 28 11:51:31 UTC 2024
      37.9K bytes
     
  10. plot_kmeans_digits.rst.txt

    1].min() - 1, reduced_data[:, 1].max() + 1 xx, yy =...reduced_data[:, 0].min() - 1, reduced_data[:, 0].max() + 1 y_min, y_max =...
    scikit-learn.org/stable/_sources/auto_examples/cluster/plot_kmeans_digits.rst.txt
    Sun May 19 20:00:38 UTC 2024
      10.2K bytes
      1 views
     
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