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  1. 1.5. Stochastic Gradient Descent — scikit-learn...

    >>> clf = SGDClassifier ( loss = "hinge" , penalty = "l2" , max_iter...>>> clf = SGDClassifier ( loss = "log_loss" , max_iter = 5 ) ....
    scikit-learn.org/stable/modules/sgd.html
    Sat Aug 23 16:32:04 UTC 2025
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  2. Decision Tree Regression with AdaBoost — scikit...

    color = colors [ 1 ], label = "n_estimators=1" , linewidth = 2 )...regr_1 = DecisionTreeRegresso ( max_depth = 4 ) regr_2 = AdaBoostRegressor...
    scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_regression.html
    Sat Aug 23 16:32:03 UTC 2025
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  3. Paging | DBFlute

    currentPageNumber = 3 ; // 実業務では、画面などで指定されたページ番号など MemberCB() cb = new MemberCB();...memberPage = memberBhv . selectPage (cb); int allRecordCount = memberPage....
    dbflute.seasar.org/ja/manual/function/ormapper/conditionbean/sidebar/paging.html
    Tue Aug 12 02:41:09 UTC 2025
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  4. check_scoring — scikit-learn 1.7.1 documentation

    estimator = None , scoring = None , * , allow_none = False , raise_exc...X , y = load_iris ( return_X_y = True ) >>> classifier = DecisionTreeClassifi...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.check_scoring.html
    Sat Aug 23 16:32:03 UTC 2025
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  5. ridge_regression — scikit-learn 1.7.1 documenta...

    sample_weight = None , solver = 'auto' , max_iter = None , tol = 0.0001..., verbose = 0 , positive = False , random_state = None , return_n_iter...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.ridge_regression.html
    Sat Aug 23 16:32:04 UTC 2025
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  6. quantile_transform — scikit-learn 1.7.1 documen...

    ( loc = 0.5 , scale = 0.25 , size = ( 25 , 1 )), axis = 0 ) >>>..., axis = 0 , n_quantiles = 1000 , output_distribution = 'uniform'...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.quantile_transform.html
    Sat Aug 23 16:32:03 UTC 2025
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  7. DBSCAN — scikit-learn 1.7.1 documentation

    metric_params = None , algorithm = 'auto' , leaf_size = 30 , p = None...DBSCAN ( eps = 0.5 , * , min_samples = 5 , metric = 'euclidean'...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.DBSCAN.html
    Sat Aug 23 16:32:03 UTC 2025
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  8. PLSRegression — scikit-learn 1.7.1 documentation

    n_components = 2 , * , scale = True , max_iter = 500 , tol = 1e-06 ,...algorithm='nipals' . Ignored otherwise. tol float, default=1e-06...
    scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSRegression.html
    Sat Aug 23 16:32:04 UTC 2025
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  9. make_multilabel_classification — scikit-learn 1...

    n_labels = 2 , length = 50 , allow_unlabeled = True , sparse = False...n_samples = 100 , n_features = 20 , * , n_classes = 5 , n_labels...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_multilabel_classification.html
    Sat Aug 23 16:32:03 UTC 2025
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  10. OneHotEncoder — scikit-learn 1.7.1 documentation

    categories='auto' , drop=None , sparse_output=True , dtype=<class...handle_unknown='error' , min_frequency=None , max_categories=None , ...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html
    Sat Aug 23 16:32:04 UTC 2025
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