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  1. Pipelining: chaining a PCA and a logistic regre...

    logistic = LogisticRegression ( max_iter = 10000 , tol = 0.1 ) pipe...ax0 , ax1 ) = plt . subplots ( nrows = 2 , sharex = True , figsize...
    scikit-learn.org/stable/auto_examples/compose/plot_digits_pipe.html
    Thu Apr 10 21:02:04 UTC 2025
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  2. learning_curve — scikit-learn 1.6.1 documentation

    exploit_incremental_learning = False , n_jobs = None , pre_dispatch = 'all' , verbose...verbose = 0 , shuffle = False , random_state = None , error_score...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.learning_curve.html
    Thu Apr 10 21:02:05 UTC 2025
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  3. Sample pipeline for text feature extraction and...

    data_train = fetch_20newsgroups ( subset = "train" , categories = categories...categories , shuffle = True , random_state = 42 , remove = ( "headers"...
    scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_text_feature_extraction.html
    Thu Apr 10 21:02:04 UTC 2025
      155.3K bytes
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  4. fbeta_score — scikit-learn 1.6.1 documentation

    labels = None , pos_label = 1 , average = 'binary' , sample_weight...average = "macro" , zero_division = np . nan , beta = 0.5 ) 0.12......
    scikit-learn.org/stable/modules/generated/sklearn.metrics.fbeta_score.html
    Thu Apr 10 21:02:03 UTC 2025
      121.5K bytes
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  5. make_regression — scikit-learn 1.6.1 documentation

    tail_strength = 0.5 , noise = 0.0 , shuffle = True , coef = False , random_state...n_samples = 100 , n_features = 100 , * , n_informative = 10 , n_targets...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_regression.html
    Thu Apr 10 21:02:05 UTC 2025
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  6. precision_recall_fscore_support — scikit-learn ...

    beta = 1.0 , labels = None , pos_label = 1 , average = None ,...warn_for = ('precision', 'recall', 'f-score') , sample_weight = None...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_fscore_support.html
    Thu Apr 10 21:02:05 UTC 2025
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  7. Multilabel classification using a classifier ch...

    ) Y = Y == "TRUE" X_train , X_test , Y_train , Y_test = train_test_split..., Y = fetch_openml ( "yeast" , version = 4 , return_X_y = True...
    scikit-learn.org/stable/auto_examples/multioutput/plot_classifier_chain_yeast.html
    Thu Apr 10 21:02:03 UTC 2025
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  8. classificationDefinitionMap | DBFlute

    code=FOO; name=Foo; alias=Who; comment=Fooさん ; subItemMap=map:{...codeType=String} ; map: {code=PRV;name=Provisional;alias=仮会員 ;c...
    dbflute.seasar.org/ja/manual/reference/dfprop/classificationdefinition/index.html
    Mon Apr 07 07:01:48 UTC 2025
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  9. Lasso model selection: AIC-BIC / cross-validati...

    y = load_diabetes ( return_X_y = True , as_frame = True )...x_min = x . min () return [ "font-weight: bold" if v == x_min...
    scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_model_selection.html
    Thu Apr 10 21:02:03 UTC 2025
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  10. LatentDirichletAllocation — scikit-learn 1.6.1 ...

    max_doc_update_iter = 100 , n_jobs = None , verbose = 0 , random_state = None...n_components = 10 , * , doc_topic_prior = None , topic_word_prior = None...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.LatentDirichletAllocation.html
    Thu Apr 10 21:02:04 UTC 2025
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