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  1. 商品ランキング一覧338件中 1件から20件 - gooランキング

    東京都、2位 福岡県、1位に選ばれたのは? 2 真っ先に思い浮かぶ「百人一首」の歌ランキング!3位は「花の色は~」2位は「田子の浦に~」1位は?...東京都、2位 福岡県、1位に選ばれたのは? 2 真っ先に思い浮かぶ「百人一首」の歌ランキング!3位は「花の色は~」2位は「田子の浦に~」1位は?...
    ranking.goo.ne.jp/category/10/
    Tue Aug 05 01:00:07 UTC 2025
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  2. compute_optics_graph — scikit-learn 1.7.1 docum...

    2 ], [ 2 , 5 ], [ 3 , 6 ], ... [ 8...samples (rounded to be at least 2). max_eps float, default=np.inf...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.compute_optics_graph.html
    Mon Aug 04 12:41:05 UTC 2025
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  3. Single estimator versus bagging: bias-variance ...

    - ( x ** 2 )) + 1.5 * np . exp ( - (( x - 2 ) ** 2 )) def generate...{0} : {1:.4f} (error) = {2:.4f} (bias^2) " " + {3:.4f} (var) +...
    scikit-learn.org/stable/auto_examples/ensemble/plot_bias_variance.html
    Mon Aug 04 12:41:00 UTC 2025
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  4. GMM covariances — scikit-learn 1.7.1 documentation

    covariances_ [ n ][: 2 , : 2 ] elif gmm . covariance_type...covariances = gmm . covariances_ [: 2 , : 2 ] elif gmm . covariance_type...
    scikit-learn.org/stable/auto_examples/mixture/plot_gmm_covariances.html
    Mon Aug 04 12:41:02 UTC 2025
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  5. Compressive sensing: tomography reconstruction ...

    l / 2.0 ) ** 2 + ( y - l / 2.0 ) ** 2 < ( l / 2.0 ) ** 2 mask...np . float64 ) center = l_x / 2.0 X += 0.5 - center Y += 0.5 -...
    scikit-learn.org/stable/auto_examples/applications/plot_tomography_l1_reconstruction.html
    Mon Aug 04 12:41:00 UTC 2025
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  6. dbscan — scikit-learn 1.7.1 documentation

    2 ], [ 2 , 2 ], [ 2 , 3 ], [ 8 , 7 ], [ 8...min_samples = 2 ) >>> core_samples array([0, 1, 2, 3, 4]) >>> labels...
    scikit-learn.org/stable/modules/generated/dbscan-function.html
    Mon Aug 04 12:41:03 UTC 2025
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  7. Dimensionality Reduction with Neighborhood Comp...

    ( n_components = 2 )) # Reduce dimension to 2 with NeighborhoodComponen...the different samples on the 2 first principal components. Linear...
    scikit-learn.org/stable/auto_examples/neighbors/plot_nca_dim_reduction.html
    Mon Aug 04 12:41:04 UTC 2025
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  8. Two-class AdaBoost — scikit-learn 1.7.1 documen...

    cov = 2.0 , n_samples = 200 , n_features = 2 , n_classes = 2 , random_state...= 300 , n_features = 2 , n_classes = 2 , random_state = 1 ) X...
    scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_twoclass.html
    Mon Aug 04 12:41:02 UTC 2025
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  9. isotonic_regression — scikit-learn 1.7.1 docume...

    2 , 8 , 10 , 7 , 9 , 6 , 4 ]) array([2.75 , 2.75 , 2.75 ,..., 2.75 , 7.33, 7.33, 7.33, 7.33, 7.33, 7.33]) On this page This...
    scikit-learn.org/stable/modules/generated/sklearn.isotonic.isotonic_regression.html
    Mon Aug 04 12:41:05 UTC 2025
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  10. d2_log_loss_score — scikit-learn 1.7.1 document...

    Like R^2, D^2 score may be negative (it need...labels = None ) [source] # \(D^2\) score function, fraction of...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_log_loss_score.html
    Mon Aug 04 12:41:05 UTC 2025
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