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  1. Download

    OpenSearch 2.1.0 ) Fess 14.2.0 ( Java 17 , Elasticsearch 8.2.2 , OpenSearch...7.15.2 ) Fess 13.14.1 ( Elasticsearch 7.14.2 ) Fess 13.13.2 ( Elasticsearch...
    fess.codelibs.org/downloads.html
    Fri Sep 20 02:37:08 UTC 2024
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  2. SGD: convex loss functions — scikit-learn 1.5.2...

    ] = ( 1 - z [ z >= - 1 ]) ** 2 loss [ z >= 1.0 ] = 0 return loss...linspace ( xmin , xmax , 100 ) lw = 2 plt . plot ([ xmin , 0 , 0 , xmax...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_loss_functions.html
    Thu Sep 19 14:56:27 UTC 2024
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  3. sparse_encode — scikit-learn 1.5.2 documentation

    2 ], ... [ 1 , 1 , 1 ], ... [ 0 , 1 , 1 ], ... [ 0 , 2 , 1...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.sparse_encode.html
    Thu Sep 19 14:56:27 UTC 2024
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  4. Column Transformer with Mixed Types — scikit-le...

    float64 dtypes: category(2), float64(2), int64(1) memory usage:...scikit-learn 1.2 Release Highlights for scikit-learn 1.2 Gallery generated...
    scikit-learn.org/stable/auto_examples/compose/plot_column_transformer_mixed_types.html
    Thu Sep 19 14:56:27 UTC 2024
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  5. density — scikit-learn 1.5.2 documentation

    Gallery examples: Classification of text documents using sparse features
    scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.density.html
    Tue Sep 17 17:21:48 UTC 2024
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  6. MethodMapping — scikit-learn 1.5.2 documentation

    Gallery examples: Metadata Routing
    scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MethodMapping.html
    Tue Sep 17 17:21:49 UTC 2024
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  7. MetadataRequest — scikit-learn 1.5.2 documentation

    Skip to main content Back to top Ctrl + K GitHub MetadataRequest # class sklearn.utils.metadata_routing. MetadataRequ...
    scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MetadataRequest.html
    Wed Sep 18 20:56:26 UTC 2024
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  8. Classification — scikit-learn 1.5.2 documentation

    General examples about classification algorithms. Classifier comparison Linear and Quadratic Discriminant Analysis with covariance ellipsoid Normal, Ledoit-Wolf and OAS Linear Discriminant Analysis...
    scikit-learn.org/stable/auto_examples/classification/index.html
    Thu Sep 19 14:56:26 UTC 2024
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  9. Pipeline — scikit-learn 1.5.2 documentation

    Gallery examples: Feature agglomeration vs. univariate selection Pipeline ANOVA SVM Recursive feature elimination Poisson regression and non-normal loss Permutation Importance vs Random Forest Feat...
    scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html
    Thu Sep 19 14:56:27 UTC 2024
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  10. SelectKBest — scikit-learn 1.5.2 documentation

    Gallery examples: Release Highlights for scikit-learn 1.1 Pipeline ANOVA SVM Univariate Feature Selection Concatenating multiple feature extraction methods Selecting dimensionality reduction with P...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectKBest.html
    Thu Sep 19 14:56:28 UTC 2024
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