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  1. HashingVectorizer — scikit-learn 1.6.1 document...

    2) means unigrams and bigrams, and (2, 2) means only...n_features is large enough (e.g. 2 ** 18 for text classification...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.HashingVectorizer.html
    Fri Apr 25 09:06:53 UTC 2025
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  2. Generateタスク | DBFlute

    SchemaXMLを参照 2. 古いクラスを削除 3. クラスを自動生成 4. Beha...Generateタスクを実行すると処理が始まります。 1. SchemaXMLを参照 2. 古いクラスを削除 3. クラスを自動生成 4. Beha...
    dbflute.seasar.org/ja/manual/function/generator/task/generate/index.html
    Thu Apr 24 06:55:16 UTC 2025
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  3. OAS — scikit-learn 1.6.1 documentation

    formula (23) states that 2/p (p being the number of features)...because for a large p, the value of 2/p is so small that it doesn’t...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.OAS.html
    Fri Apr 25 09:06:53 UTC 2025
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  4. SpectralBiclustering — scikit-learn 1.6.1 docum...

    [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...SpectralBiclustering ( n_clusters = 2 , random_state = 0 ) . fit ( X...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralBiclustering.html
    Fri Apr 25 09:06:53 UTC 2025
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  5. Precision-Recall — scikit-learn 1.6.1 documenta...

    train_test_split ( X [ y < 2 ], y [ y < 2 ], test_size = 0.5 , random_state...display . ax_ . set_title ( "2-class Precision-Recall curve"...
    scikit-learn.org/stable/auto_examples/model_selection/plot_precision_recall.html
    Fri Apr 25 09:06:53 UTC 2025
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  6. LinearDiscriminantAnalysis — scikit-learn 1.6.1...

    2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>>...- 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...
    scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysi...
    Fri Apr 25 09:06:53 UTC 2025
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  7. Swiss Roll And Swiss-Hole Reduction — scikit-le...

    n_components = 2 ) sr_tsne = manifold . TSNE ( n_components = 2 , perplexity...n_components = 2 ) sh_tsne = manifold . TSNE ( n_components = 2 , perplexity...
    scikit-learn.org/stable/auto_examples/manifold/plot_swissroll.html
    Fri Apr 25 09:06:52 UTC 2025
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  8. Fitting an Elastic Net with a precomputed Gram ...

    2.65799352e+02], ..., [-2.25349312e+02, -1.07963978e+03,...-3.07582983e+02, 6.66670169e+02, 2.65799352e+02], ..., [-2.25349312e+02, -1.07963978e+03,...
    scikit-learn.org/stable/auto_examples/linear_model/plot_elastic_net_precomputed_gram_matrix_with_...
    Fri Apr 25 09:06:52 UTC 2025
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  9. MiniBatchDictionaryLearning — scikit-learn 1.6....

    _Fro ^ 2 + alpha * || U || _1 , 1 ( U , V ) with || V_k || _2 <=...X_hat - X ) ** 2 , axis = 1 ) / np . sum ( X ** 2 , axis = 1 ))...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchDictionaryLearning.html
    Fri Apr 25 09:06:53 UTC 2025
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  10. oas — scikit-learn 1.6.1 documentation

    formula (23) states that 2/p (p being the number of features)...because for a large p, the value of 2/p is so small that it doesn’t...
    scikit-learn.org/stable/modules/generated/oas-function.html
    Fri Apr 25 09:06:53 UTC 2025
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