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  1. 移行 0.9.7.1 to 0.9.7.2 | DBFlute

    2 お約束の注意点 環境上の注意点 非等値の演算子が "!="...
    dbflute.seasar.org/ja/environment/upgrade/migration/migrate0971to0972.html
    Mon Sep 15 10:51:17 GMT 2025
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  2. Version 0.23 — scikit-learn 1.7.2 documen...

    2 # Changed models # The following...by avoiding slower BLAS Level 2 calls on small arrays #17021 by...
    scikit-learn.org/stable/whats_new/v0.23.html
    Sat Nov 15 10:03:27 GMT 2025
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  3. 9.1. Strategies to scale computationally: bigge...

    2. Extracting features # 2. could be any relevant...
    scikit-learn.org/stable/computing/scaling_strategies.html
    Mon Nov 17 17:38:23 GMT 2025
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  4. Approximate nearest neighbors in TSNE — s...

    random_state = 2 ) return X [: n_samples ] / 255...astype ( np . int32 ), alpha = 0.2 , cmap = plt . cm . viridis ,...
    scikit-learn.org/stable/auto_examples/neighbors/approximate_nearest_neighbors.html
    Mon Nov 17 17:38:23 GMT 2025
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  5. Release Highlights for scikit-learn 1.6 —...

    2 Release Highlights for scikit-learn 1.2 Release Highlights...introduced in scikit-learn version 1.2) was previously limited to binary...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_6_0.html
    Mon Nov 17 17:38:24 GMT 2025
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  6. 1.15. Isotonic regression — scikit-learn ...

    \sum_i w_i (y_i - \hat{y}_i)^2\] subject to \(\hat{y}_i \le \hat{y}_j\)...
    scikit-learn.org/stable/modules/isotonic.html
    Sat Nov 15 10:03:25 GMT 2025
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  7. Biclustering documents with the Spectral Co-clu...

    Done in 2.27s. V-measure: 0.3015 Best biclusters:...cdt, surrender, veal bicluster 2 : 1259 documents, 3534 words categories...
    scikit-learn.org/stable/auto_examples/bicluster/plot_bicluster_newsgroups.html
    Mon Nov 17 17:38:23 GMT 2025
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  8. Version 0.16 — scikit-learn 1.7.2 documen...

    approximated rbf_kernel with gamma=g/2. ; the definition of gamma is...
    scikit-learn.org/stable/whats_new/v0.16.html
    Sat Nov 15 10:03:26 GMT 2025
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  9. Missing Value Imputation — scikit-learn 1...

    Examples concerning the sklearn.impute module. Imputing missing values before building an estimator Imputing missing values with variants of IterativeImputer
    scikit-learn.org/stable/auto_examples/impute/index.html
    Mon Nov 17 17:38:23 GMT 2025
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  10. Kernel Density Estimation — scikit-learn ...

    This example shows how kernel density estimation (KDE), a powerful non-parametric density estimation technique, can be used to learn a generative model for a dataset. With this generative model in ...
    scikit-learn.org/stable/auto_examples/neighbors/plot_digits_kde_sampling.html
    Mon Nov 17 17:38:24 GMT 2025
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