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  1. classification_report — scikit-learn 1.6.1 docu...

    labels = None , target_names = None , sample_weight = None ,..., digits = 2 , output_dict = False , zero_division = 'warn' )...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html
    Sat Apr 19 00:31:20 UTC 2025
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  2. 模範解答的なセクション 3 | DBFlute

    purchaseBhv ; // ========== // Silver Stretch // ========== /** * [1]... }); } // ========== // Gold Stretch // ========== /** * [4]...
    dbflute.seasar.org/ja/tutorial/handson/flower/flower03.html
    Fri Apr 18 17:54:33 UTC 2025
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  3. RaBitQ binary quantization 101 - Elasticsearch ...

    r 1 = [ 1 , 0 ] , r 2 = [ 1 , 0 ] , r 3 = [ 0 , 1 ] r_1 = [1,...0], r_2 = [1, 0], r_3 = [0, 1] r 1 = [ 1 , 0 ] , r 2 = [ 1 , 0...
    www.elastic.co/search-labs/blog/rabitq-explainer-101
    Sun Apr 20 00:37:04 UTC 2025
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  4. Wikipedia principal eigenvector — scikit-learn ...

    [ 0 ])] = short_name ( split [ 2 ]) if l % 1000000 == 0 : print...transitive_target = None target = redirects [ source ] seen = { source...
    scikit-learn.org/stable/auto_examples/applications/wikipedia_principal_eigenvector.html
    Sat Apr 19 00:31:22 UTC 2025
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  5. SpectralClustering — scikit-learn 1.6.1 documen...

    random_state = None , n_init = 10 , gamma = 1.0 , affinity = 'rbf' ,...degree = 3 , coef0 = 1 , kernel_params = None , n_jobs = None ,...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralClustering.html
    Sat Apr 19 00:31:22 UTC 2025
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  6. LabelBinarizer — scikit-learn 1.6.1 documentation

    neg_label = 0 , pos_label = 1 , sparse_output = False ) [source]...Parameters : neg_label int, default=0 Value with which negative labels...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelBinarizer.html
    Sat Apr 19 00:31:21 UTC 2025
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  7. sample_without_replacement — scikit-learn 1.6.1...

    default=’auto’ If method == “auto”, the ratio of...n_samples , method = 'auto' , random_state = None ) # Sample integers...
    scikit-learn.org/stable/modules/generated/sklearn.utils.random.sample_without_replacement.html
    Sat Apr 19 00:31:20 UTC 2025
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  8. Exponentiation — scikit-learn 1.6.1 documentation

    y = make_friedman2 ( n_samples = 500 , noise = 0 , random_state...exponent = 2 ) >>> gpr = GaussianProcessRegre ( kernel = kernel...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Exponentiation.html
    Sat Apr 19 00:31:21 UTC 2025
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  9. Lasso, Lasso-LARS, and Elastic Net paths — scik...

    y = load_diabetes ( return_X_y = True ) X /= X . std (...coefs_positive_lasso , _ = lasso_path ( X , y , eps = eps , positive = True ) print...
    scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_lasso_lars_elasticnet_path.html
    Sat Apr 19 00:31:22 UTC 2025
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  10. Custom refit strategy of a grid search with cro...

    - 1 )) y = digits . target == 8 print ( f "The number...SVC(C=100, gamma=0.001) SVC ? Documentation for SVC SVC(C=100,...
    scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_digits.html
    Sat Apr 19 00:31:21 UTC 2025
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