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  1. Sparse inverse covariance estimation — scikit-l...

    cov /= d cov /= d [:, np . newaxis ] prec *= d prec *= d [:,..., size = n_samples ) X -= X . mean ( axis = 0 ) X /= X . std...
    scikit-learn.org/stable/auto_examples/covariance/plot_sparse_cov.html
    Sat Aug 23 16:32:03 UTC 2025
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  2. SVM Tie Breaking Example — scikit-learn 1.7.1 d...

    ()): svm = SVC ( kernel = "linear" , C = 1 , break_ties = break_ties...SVC X , y = make_blobs ( random_state = 27 ) fig , sub = plt . subplots...
    scikit-learn.org/stable/auto_examples/svm/plot_svm_tie_breaking.html
    Sat Aug 23 16:32:04 UTC 2025
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  3. VotingClassifier — scikit-learn 1.7.1 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
    Sat Aug 23 16:32:03 UTC 2025
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  4. lars_path_gram — scikit-learn 1.7.1 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
    Sat Aug 23 16:32:03 UTC 2025
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  5. MiniBatchSparsePCA — scikit-learn 1.7.1 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
    Sat Aug 23 16:32:03 UTC 2025
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  6. 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
    Tue Aug 12 02:41:09 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
    Sat Aug 23 16:32:03 UTC 2025
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  8. PassiveAggressiveRegressor — scikit-learn 1.7.1...

    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
    Sat Aug 23 16:32:03 UTC 2025
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  9. Vector Quantization Example — scikit-learn 1.7....

    ax = plt . subplots ( ncols = 2 , figsize = ( 12 , 4 ))...KBinsDiscretizer n_bins = 8 encoder = KBinsDiscretizer ( n_bins = n_bins , encode...
    scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html
    Sat Aug 23 16:32:03 UTC 2025
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  10. アプリ区分値の自動生成(appcls) | LastaFlute

    map:{ code=[code]; name=[name]; alias=[alias]; comment=[comment]...map:{ code=[code]; name=[name]; alias=[alias]; comment=[comment]...
    dbflute.seasar.org/ja/lastaflute/howto/dbflute/appcls.html
    Tue Aug 12 02:41:09 UTC 2025
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