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  1. VotingClassifier — scikit-learn 1.7.0 documenta...

    voting = 'hard' , weights = None , n_jobs = None , flatten_transform...voting=’soft’ If voting=’soft’ and flatten_transform=True, transform...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingClassifier.html
    Tue Jul 01 15:59:32 UTC 2025
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  2. Bisecting K-Means and Regular K-Means Performan...

    data n_samples = 10000 random_state = 0 X , _ = make_blobs ( n_samples...n_samples = n_samples , centers = 2 , random_state = random_state...
    scikit-learn.org/stable/auto_examples/cluster/plot_bisect_kmeans.html
    Tue Jul 01 15:59:32 UTC 2025
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  3. MiniBatchSparsePCA — scikit-learn 1.7.0 documen...

    max_iter = 1000 , callback = None , batch_size = 3 , verbose = False...n_components = None , * , alpha = 1 , ridge_alpha = 0.01 , max_iter...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchSparsePCA.html
    Tue Jul 01 15:59:33 UTC 2025
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  4. mutual_info_regression — scikit-learn 1.7.0 doc...

    discrete_features = 'auto' , n_neighbors = 3 , copy = True , random_state..., y = make_regression ( ... n_samples = 50 , n_features = 3 ,...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_regression.html
    Tue Jul 01 15:59:32 UTC 2025
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  5. conditionBeanMap (includeQueryMap) | DBFlute

    [property-type] = map: { ; [condition-key] = map: { [table-name] = list:{[column-name]...String = map: { ; GreaterThan = map: {} ; LessThan = map: {}...
    dbflute.seasar.org/ja/manual/reference/dfprop/includequery/index.html
    Fri Jun 13 09:55:28 UTC 2025
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  6. lars_path_gram — scikit-learn 1.7.0 documentation

    max_iter = 500 , alpha_min = 0 , method = 'lar' , copy_X = True ,..., verbose = 0 , return_path = True , return_n_iter = False , positive...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.lars_path_gram.html
    Tue Jul 01 15:59:33 UTC 2025
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  7. Restricted Boltzmann Machine features for digit...

    mode = "constant" , weights = w ) . ravel () X = np . concatenate...X , y = datasets . load_digits ( return_X_y = True ) X = np ....
    scikit-learn.org/stable/auto_examples/neural_networks/plot_rbm_logistic_classification.html
    Tue Jul 01 15:59:35 UTC 2025
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  8. PassiveAggressiveRegressor — scikit-learn 1.7.0...

    C = 1.0 , fit_intercept = True , max_iter = 1000 , tol = 0.001...n_iter_no_change = 5 , shuffle = True , verbose = 0 , loss = 'epsilon_insensitive'...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveRegressor.html
    Tue Jul 01 15:59:34 UTC 2025
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  9. Plotting Cross-Validated Predictions — scikit-l...

    y = load_diabetes ( return_X_y = True ) lr = LinearRegression...y_pred = cross_val_predict ( lr , X , y , cv = 10 ) Since cv=10 ,...
    scikit-learn.org/stable/auto_examples/model_selection/plot_cv_predict.html
    Tue Jul 01 15:59:33 UTC 2025
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  10. feed

    fm=webp&w=1440&h=754&q=90&fit=crop 0 false This...6-720x420.jpg?fm=webp&w=1440&h=754&q=90&fit=crop 0 false Elasticsearch...
    www.elastic.co/search-labs/rss/feed
    Wed Jul 02 00:43:47 UTC 2025
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