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  1. CountVectorizer — scikit-learn 1.7.0 documentation

    [[0 1 1 1 0 0 1 0 1] [0 2 0 1 0 1 1 0 1] [1 0 0 1 1 0 1 1 1] [0...[[0 0 1 1 0 0 1 0 0 0 0 1 0] [0 1 0 1 0 1 0 1 0 0 1 0 0] [1 0 0...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html
    Fri Jun 06 09:13:47 UTC 2025
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  2. mean_variance_axis — scikit-learn 1.6.1 documen...

    1 , 2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2 , 5 ])...of CSR or CSC format. axis {0, 1} Axis along which the axis should...
    scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.mean_variance_axis.html
    Sun Jun 01 04:47:39 UTC 2025
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  3. NearestNeighbors — scikit-learn 1.7.0 documenta...

    () array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) radius_neighbors...() array([[1., 0., 1.], [0., 1., 0.], [1., 0., 1.]]) set_params...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestNeighbors.html
    Fri Jun 06 09:13:47 UTC 2025
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  4. LabelBinarizer — scikit-learn 1.7.0 documentation

    array([[1, 0, 0], [0, 1, 0], [0, 0, 1], [0, 1, 0]]) fit ( y ) [source]...array([1, 2, 4, 6]) >>> lb . transform ([ 1 , 6 ]) array([[1, 0,...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelBinarizer.html
    Fri Jun 06 09:13:47 UTC 2025
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  5. plot_release_highlights_1_7_0.rst.txt

    #sk-container-id-1 pre { padding: 0; } #sk-container-id-1 input.sk-hidden--visually...ound); flex-grow: 1; } #sk-container-id-1 div.sk-parallel { display:...
    scikit-learn.org/stable/_sources/auto_examples/release_highlights/plot_release_highlights_1_7_0.r...
    Fri Jun 06 09:13:47 UTC 2025
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  6. KNeighborsClassifier — scikit-learn 1.7.0 docum...

    () array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) predict...bors=1) >>> print ( neigh . kneighbors ([[ 1. , 1. , 1. ]]))...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsClassifier.html
    Fri Jun 06 09:13:46 UTC 2025
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  7. KNeighborsRegressor — scikit-learn 1.7.0 docume...

    () array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) predict...bors=1) >>> print ( neigh . kneighbors ([[ 1. , 1. , 1. ]]))...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsRegressor.html
    Fri Jun 06 09:13:47 UTC 2025
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  8. 3.2. Tuning the hyper-parameters of an estimato...

    loguniform(1, 100) can be used instead of [1, 10, 100] . Mirroring...reference to the literature. 3.2.1. Exhaustive Grid Search # The...
    scikit-learn.org/stable/modules/grid_search.html
    Fri Jun 06 09:13:47 UTC 2025
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  9. OPTICS — scikit-learn 1.7.0 documentation

    1, 1, 1]) For a more detailed example...min_samples int > 1 or float between 0 and 1, default=5 The number...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.OPTICS.html
    Fri Jun 06 09:13:47 UTC 2025
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  10. inplace_column_scale — scikit-learn 1.6.1 docum...

    1 , 2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2 , 5 ])...csr . todense () matrix([[8, 1, 2], [0, 0, 5], [0, 0, 0], [0,...
    scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_column_scale.html
    Thu May 29 09:16:23 UTC 2025
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