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  1. Plot Ridge coefficients as a function of the re...

    ridge = linear_model . Ridge ( alpha = a , fit_intercept = False...newaxis ]) y = np . ones ( 10 ) Compute paths # n_alphas = 200 alphas...
    scikit-learn.org/stable/auto_examples/linear_model/plot_ridge_path.html
    Fri Oct 10 15:14:33 UTC 2025
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  2. 区分値のグルーピング (GroupingMap) | DBFlute

    MemberStatus = list: { ; map: { ; topComment=会員ステータス; codeType=String...groupingMap = map: { ; serviceAvailable = map: { ; groupComment = サービスが利用できる会員...
    dbflute.seasar.org/ja/manual/function/genbafit/implfit/classification/groupingmap.html
    Mon Sep 15 10:51:17 UTC 2025
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  3. make_friedman2 — scikit-learn 1.7.2 documentation

    intervals: 0 <= X [:, 0 ] <= 100 , 40 * pi <= X [:, 1 ] <= 560 * pi...pi , 0 <= X [:, 2 ] <= 1 , 1 <= X [:, 3 ] <= 11. The output y...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman2.html
    Fri Oct 10 15:14:36 UTC 2025
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  4. Semi-supervised Classification on a Text Datase...

    sdg_params = dict ( alpha = 1e-5 , penalty = "l2" , loss = "log_loss"...data = fetch_20newsgroups ( subset = "train" , categories = [ "alt.atheism"...
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_newsgroups.html
    Fri Oct 10 15:14:36 UTC 2025
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  5. mean_poisson_deviance — scikit-learn 1.7.2 docu...

    mean_poisson_deviance >>> y_true = [ 2 , 0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 ,..., y_pred , * , sample_weight = None ) [source] # Mean Poisson...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_poisson_deviance.html
    Fri Oct 10 15:14:35 UTC 2025
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  6. TransformedTargetRegressor — scikit-learn 1.7.2...

    regressor = None , * , transformer = None , func = None , inverse_func...... func = np . log , inverse_func = np . exp ) >>> X = np . arange...
    scikit-learn.org/stable/modules/generated/sklearn.compose.TransformedTargetRegressor.html
    Fri Oct 10 15:14:35 UTC 2025
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  7. 8.2. Real world datasets — scikit-learn 1.7.2 d...

    MultinomialNB(alpha=0.01, class_prior=None, fit_prior=True) >>> pred = clf ....newsgroups_train = fetch_20newsgroups ( subset = 'train' , categories = cats...
    scikit-learn.org/stable/datasets/real_world.html
    Fri Oct 10 15:14:33 UTC 2025
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  8. fetch_covtype — scikit-learn 1.7.2 documentation

    data_home = None , download_if_missing = True , random_state = None..., shuffle = False , return_X_y = False , as_frame = False , n_retries...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_covtype.html
    Fri Oct 10 15:14:36 UTC 2025
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  9. cluster_optics_dbscan — scikit-learn 1.7.2 docu...

    max_eps = np . inf , ... metric = "minkowski" , ... p = 2 , ......metric_params = None , ... algorithm = "auto" , ... leaf_size = 30 , ......
    scikit-learn.org/stable/modules/generated/sklearn.cluster.cluster_optics_dbscan.html
    Fri Oct 10 15:14:35 UTC 2025
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  10. LastaFlute の Thymeleaf | LastaFlute

    name= "productName" value= "" class= "validError" type= "text"...name= "productName" value= "" class= "validError" type= "text"...
    dbflute.seasar.org/ja/lastaflute/howto/action/lathymeleaf.html
    Mon Sep 15 10:51:17 UTC 2025
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