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  1. PCA — scikit-learn 1.6.0 documentation

    [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...3 , 2 ]]) >>> pca = PCA ( n_components = 2 ) >>> pca . fit (...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html
    Tue Jan 07 00:36:17 UTC 2025
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  2. t-SNE: The effect of various perplexity values ...

    n_samples = 150 n_components = 2 ( fig , subplots ) = plt . subplots.... scatter ( X [:, 0 ], X [:, 2 ], c = color ) ax . xaxis . set_major_formatter...
    scikit-learn.org/stable/auto_examples/manifold/plot_t_sne_perplexity.html
    Tue Jan 07 00:36:17 UTC 2025
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  3. Polynomial and Spline interpolation — scikit-le...

    basis_2 ( x_0 ), ... ], [ basis_1 ( x_1 ), basis_2 ( x_1 ),...columns: [[ 1 , x_0 , x_0 ** 2 , x_0 ** 3 , ... , x_0 ** degree...
    scikit-learn.org/stable/auto_examples/linear_model/plot_polynomial_interpolation.html
    Tue Jan 07 00:36:17 UTC 2025
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  4. Multiclass sparse logistic regression on 20newg...

    solver=saga] Number of epochs: 2 [model=One versus Rest, solver=saga]...solver=saga] Number of epochs: 2 [model=Multinomial, solver=saga]...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_20newsgroups.html
    Tue Jan 07 00:36:17 UTC 2025
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  5. make_sparse_uncorrelated — scikit-learn 1.6.0 d...

    0 ] + 2 * X [:, 1 ] - 2 * X [:, 2 ] - 1.5 * X [:, 3...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_uncorrelated.html
    Tue Jan 07 00:36:17 UTC 2025
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  6. check_increasing — scikit-learn 1.6.0 documenta...

    2 , 3 , 4 , 5 ], [ 2 , 4 , 6 , 8 , 10 ] >>>...np.True_ >>> y = [ 10 , 8 , 6 , 4 , 2 ] >>> check_increasing ( x , y...
    scikit-learn.org/stable/modules/generated/sklearn.isotonic.check_increasing.html
    Tue Jan 07 00:36:17 UTC 2025
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  7. Comparison of Manifold Learning methods — sciki...

    subplots ( nrows = 2 , ncols = 2 , figsize = ( 7 , 7 ), facecolor...projections with matplotlib < 3.2 import mpl_toolkits.mplot3d #...
    scikit-learn.org/stable/auto_examples/manifold/plot_compare_methods.html
    Tue Jan 07 00:36:17 UTC 2025
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  8. zero_one_loss — scikit-learn 1.6.0 documentation

    2 , 3 , 4 ] >>> y_true = [ 2 , 2 , 3 , 4 ] >>>...], [ 1 , 1 ]]), np . ones (( 2 , 2 ))) 0.5 On this page Show Source...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.zero_one_loss.html
    Tue Jan 07 00:36:17 UTC 2025
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  9. 「第3弾 専用アプリで音声収集業務」の仕事依頼【ジョブハブ】

    2018年1月10日(水)~2018年2月5日(月) ■納期 一次納品:2018年2月 5日(月) 最終納品:2018年2月15日(木) ■納品...最終納品日:2018年2月15日 単価:600円 ※最終納品日について、処理の関係上2018年2月15日を選択していただ...
    jobhub.jp/jobs/33232
    Wed Jan 08 00:24:41 UTC 2025
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  10. One-Class SVM versus One-Class SVM using Stocha...

    2 ) X_train = np . r_ [ X + 2 , X - 2 ] # Generate...randn ( 20 , 2 ) X_test = np . r_ [ X + 2 , X - 2 ] # Generate...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgdocsvm_vs_ocsvm.html
    Tue Jan 07 00:36:17 UTC 2025
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