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  1. distance_metrics — scikit-learn 1.7.2 documenta...

    Skip to main content Back to top Ctrl + K GitHub Choose version distance_metrics # sklearn.metrics.pairwise. distance...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.distance_metrics.html
    Wed Sep 24 16:15:24 UTC 2025
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  2. consensus_score — scikit-learn 1.7.2 documentation

    Gallery examples: A demo of the Spectral Biclustering algorithm A demo of the Spectral Co-Clustering algorithm
    scikit-learn.org/stable/modules/generated/sklearn.metrics.consensus_score.html
    Wed Sep 24 16:15:25 UTC 2025
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  3. laplacian_kernel — scikit-learn 1.7.2 documenta...

    Skip to main content Back to top Ctrl + K GitHub Choose version laplacian_kernel # sklearn.metrics.pairwise. laplacia...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.laplacian_kernel.html
    Wed Sep 24 16:15:25 UTC 2025
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  4. sklearn.impute — scikit-learn 1.7.2 documentation

    Transformers for missing value imputation. User guide. See the Imputation of missing values section for further details.
    scikit-learn.org/stable/api/sklearn.impute.html
    Wed Sep 24 16:15:26 UTC 2025
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  5. Working with text documents — scikit-learn 1.7....

    Examples concerning the sklearn.feature_extraction.text module. Classification of text documents using sparse features Clustering text documents using k-means FeatureHasher and DictVectorizer Compa...
    scikit-learn.org/stable/auto_examples/text/index.html
    Wed Sep 24 16:15:25 UTC 2025
      75.1K bytes
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  6. Univariate Feature Selection — scikit-learn 1.7...

    2 ) plt . title ( "Feature univariate...X_indices - 0.45 , scores , width = 0.2 , label = r "Univariate score...
    scikit-learn.org/stable/auto_examples/feature_selection/plot_feature_selection.html
    Wed Sep 24 16:15:25 UTC 2025
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  7. Regularization path of L1- Logistic Regression ...

    = 2 ] y = y [ y != 2 ] Compute regularization...
    scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_path.html
    Wed Sep 24 16:15:25 UTC 2025
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  8. max_error — scikit-learn 1.7.2 documentation

    2 , 7 , 1 ] >>> y_pred = [ 4 , 2 , 7 , 1 ] >>>...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.max_error.html
    Wed Sep 24 16:15:26 UTC 2025
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  9. Isotonic Regression — scikit-learn 1.7.2 docume...

    subplots ( ncols = 2 , figsize = ( 12 , 6 )) ax0 ....
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_isotonic_regression.html
    Wed Sep 24 16:15:25 UTC 2025
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  10. Decision Tree Regression — scikit-learn 1.7.2 d...

    "max_depth=2" , linewidth = 2 ) plt . plot ( X_test , y_2 , color..."max_depth=2" , ) plt . scatter ( y_2 [:, 0 ], y_2 [:, 1 ], c...
    scikit-learn.org/stable/auto_examples/tree/plot_tree_regression.html
    Wed Sep 24 16:15:26 UTC 2025
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