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  1. precision_recall_curve — scikit-learn 1.5.2 doc...

    Gallery examples: Visualizations with Display Objects Precision-Recall
    scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_curve.html
    Fri Sep 20 10:21:48 UTC 2024
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  2. make_column_transformer — scikit-learn 1.5.2 do...

    Gallery examples: Release Highlights for scikit-learn 0.23 Categorical Feature Support in Gradient Boosting Combine predictors using stacking Common pitfalls in the interpretation of coefficients o...
    scikit-learn.org/stable/modules/generated/sklearn.compose.make_column_transformer.html
    Fri Sep 20 10:21:50 UTC 2024
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  3. 8.3. Parallelism, resource management, and conf...

    2.2.2. SKLEARN_WORKING_MEMORY # Sets...J. Fan . 8.3.2. Configuration switches # 8.3.2.1. Python API...
    scikit-learn.org/stable/computing/parallelism.html
    Fri Sep 20 10:21:48 UTC 2024
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  4. Plot multinomial and One-vs-Rest Logistic Regre...

    2 ], [ - 0.4 , 1.2 ]] X = np . dot ( X ,...
    scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_multinomial.html
    Fri Sep 20 10:21:48 UTC 2024
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  5. Topic extraction with Non-negative Matrix Facto...

    done in 2.301s. # Author: Olivier Grisel...fig , axes = plt . subplots ( 2 , 5 , figsize = ( 30 , 15 ), sharex...
    scikit-learn.org/stable/auto_examples/applications/plot_topics_extraction_with_nmf_lda.html
    Fri Sep 20 10:21:48 UTC 2024
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  6. Decision boundary of semi-supervised classifier...

    : 2 ] y = iris . target # step size...0 , 0.9 ), 1 : ( 1 , 0 , 0 ), 2 : ( 0.8 , 0.6 , 0 )} classifiers...
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_versus_svm_iris.html
    Fri Sep 20 10:21:50 UTC 2024
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  7. Fess で作る Elasticsearch ベースの検索サーバー 〜 API 編

    2.0 を利用して説明します。 Fess の構築方法については..."http://SERVERNAME:8080/json/?q="; // (2) 検索ボタンのjQueryオブジェクト var $searchButton...
    fess.codelibs.org/ja/articles/article-3.html
    Fri Sep 20 02:39:17 UTC 2024
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  8. get_routing_for_object — scikit-learn 1.5.2 doc...

    Gallery examples: Metadata Routing
    scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.get_routing_for_object.html
    Tue Sep 17 17:21:49 UTC 2024
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  9. Custom refit strategy of a grid search with cro...

    This examples shows how a classifier is optimized by cross-validation, which is done using the GridSearchCV object on a development set that comprises only half of the available labeled data. The p...
    scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_digits.html
    Fri Sep 20 10:21:50 UTC 2024
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  10. Nested versus non-nested cross-validation — sci...

    This example compares non-nested and nested cross-validation strategies on a classifier of the iris data set. Nested cross-validation (CV) is often used to train a model in which hyperparameters al...
    scikit-learn.org/stable/auto_examples/model_selection/plot_nested_cross_validation_iris.html
    Fri Sep 20 10:21:50 UTC 2024
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