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  1. feature_extraction.rst.txt

    array([[1, 1, 1, 0, 1, 1, 1, 0], [1, 1, 0, 1, 1, 1, 0, 1]]) In...array([[0, 1, 1, 1, 0, 0, 1, 0, 1], [0, 1, 0, 1, 0, 2, 1, 0, 1], [1,...
    scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt
    Sat May 25 13:41:03 UTC 2024
      43.6K bytes
     
  2. linear_model.rst.txt

    array([[1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 1]]) >>>...1.e-05, 1.e-04, 1.e-03, 1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03,...
    scikit-learn.org/stable/_sources/modules/linear_model.rst.txt
    Mon May 27 10:29:30 UTC 2024
      78.3K bytes
      8 views
     
  3. governance.rst.txt

    “about” page: Requires +1 by a maintainer, no -1 by a maintainer (lazy...changes** require +1 by two maintainers, no -1 by a maintainer (lazy...
    scikit-learn.org/stable/_sources/governance.rst.txt
    Mon May 27 10:29:29 UTC 2024
      10K bytes
     
  4. cross_validation.rst.txt

    [1., 1.], [-1., -1.], [2., 2.]]) >>> y = np.array([0, 1, 0,...3] [0 1] [1 3] [0 2] [1 2] [0 3] [0 3] [1 2] [0 2] [1 3] [0 1]...
    scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt
    Mon May 27 10:29:30 UTC 2024
      39.9K bytes
      6 views
     
  5. feature_selection.rst.txt

    1], [0, 1, 0], [1, 0, 0], [0, 1, 1], [0, 1, 0], [0, 1, 1]]...0], [0, 0], [1, 1], [1, 0], [1, 1]]) As expected, ``VarianceThreshold``...
    scikit-learn.org/stable/_sources/modules/feature_selection.rst.txt
    Mon May 27 10:29:29 UTC 2024
      14.2K bytes
      1 views
     
  6. contributing.rst.txt

    to set up your git repository: 1. `Create an account <https://github.com/join>`_...ikit-learn.git # add --depth 1 if your connection is slow cd...
    scikit-learn.org/dev/_sources/developers/contributing.rst.txt
    Thu May 23 20:54:13 UTC 2024
      60K bytes
      1 views
     
  7. about.rst.txt

    :class-row: image-subgrid :gutter: 1 .. grid-item:: :class: sd-text-center...<a class="btn sk-btn-orange mb-1" href="https://numfocus.org/d...
    scikit-learn.org/stable/_sources/about.rst.txt
    Mon May 27 10:29:28 UTC 2024
      15.9K bytes
      3 views
     
  8. preprocessing.rst.txt

    1. , 0.1], [4.4, 2.2, 1.1, 0.1], [4.4, 2.2, 1.2, 0.1], ...,...array([[1., 0., 0., 1., 0., 1.], [0., 1., 1., 0., 0., 1.]]) By...
    scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt
    Fri May 24 12:15:01 UTC 2024
      53K bytes
     
  9. clustering.rst.txt

    1, 1, 1] >>> labels_pred = [0, 0, 1, 1, 2, 2] >>>...= [0, 0, 0, 1, 1, 1] >>> labels_pred = [0, 0, 1, 1, 2, 2] >>>...
    scikit-learn.org/stable/_sources/modules/clustering.rst.txt
    Mon May 27 10:29:28 UTC 2024
      92.6K bytes
     
  10. 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
    Mon May 27 10:29:30 UTC 2024
      10K bytes
     
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