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  1. 移行 0.9.5 to 0.9.5.1 | DBFlute

    1 お約束の注意点 環境上の注意点 実装上の注意点 お約束の注意点...
    dbflute.seasar.org/ja/environment/upgrade/migration/migrate0950to0951.html
    Tue Nov 12 15:10:59 UTC 2024
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  2. t-SNE: The effect of various perplexity values ...

    reshape ( - 1 , 1 ), yy . ravel () . reshape ( - 1 , 1 ), ] ) color...perplexities ): ax = subplots [ 1 ][ i + 1 ] t0 = time () tsne = manifold...
    scikit-learn.org/stable/auto_examples/manifold/plot_t_sne_perplexity.html
    Tue Dec 24 12:16:11 UTC 2024
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  3. calinski_harabasz_score — scikit-learn 1.6.0 do...

    References [ 1 ] T. Calinski and J. Harabasz,...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.calinski_harabasz_score.html
    Tue Dec 24 12:16:12 UTC 2024
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  4. ledoit_wolf_shrinkage — scikit-learn 1.6.0 docu...

    regularized (shrunk) covariance is: (1 - shrinkage) * cov + shrinkage...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.ledoit_wolf_shrinkage.html
    Tue Dec 24 12:16:12 UTC 2024
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  5. Configuration on ASP.NET Core | APM .NET Agent ...

    "TransactionSampleRat": 1.0 } } With ASP.NET Core, you must...en", "TransactionSampleRat": 1.0 } } « Configuration Configuration...
    www.elastic.co/guide/en/apm/agent/dotnet/current/configuration-on-asp-net-core.html
    Thu Oct 03 08:25:31 UTC 2024
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  6. Illustration of Gaussian process classification...

    kernels = [ 1.0 * RBF ( length_scale = 1.15 ), 1.0 * DotProduct...)[:, 1 ] Z = Z . reshape ( xx . shape ) plt . subplot ( 1 , 2...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_xor.html
    Tue Dec 24 12:16:12 UTC 2024
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  7. randomized_range_finder — scikit-learn 1.6.0 do...

    array ([[ 1 , 2 , 3 ], [ 4 , 5 , 6 ], [ 7...
    scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.randomized_range_finder.html
    Tue Dec 24 12:16:12 UTC 2024
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  8. sklearn.semi_supervised — scikit-learn 1.7.dev0...

    Semi-supervised learning algorithms. These algorithms utilize small amounts of labeled data and large amounts of unlabeled data for classification tasks. User guide. See the Semi-supervised learnin...
    scikit-learn.org/dev/api/sklearn.semi_supervised.html
    Mon Dec 09 18:03:47 UTC 2024
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  9. check_random_state — scikit-learn 1.6.0 documen...

    Gallery examples: Empirical evaluation of the impact of k-means initialization MNIST classification using multinomial logistic + L1 Manifold Learning methods on a severed sphere Face completion wit...
    scikit-learn.org/stable/modules/generated/sklearn.utils.check_random_state.html
    Tue Dec 24 12:16:10 UTC 2024
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  10. sklearn.feature_selection — scikit-learn 1.6.0 ...

    Feature selection algorithms. These include univariate filter selection methods and the recursive feature elimination algorithm. User guide. See the Feature selection section for further details.
    scikit-learn.org/stable/api/sklearn.feature_selection.html
    Tue Dec 24 12:16:12 UTC 2024
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