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  1. Context-aware insights using the Elastic AI Ass...

    api-version=<apiVersion> apiProvider: Azure...
    www.elastic.co/blog/context-aware-insights-elastic-ai-assistant-observability
    Tue Jul 01 00:58:09 UTC 2025
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  2. 「0922〆_【DC】音声収録業務-(35)」の仕事依頼【ジョブハブ】

    ■単価 500円/1セット(税別) ※4フレーズ×10回読み上げ40回読み上げを1セットとします。 ■作業期間 実施日:9月12日(火)~9月19日(火)...
    jobhub.jp/jobs/31547
    Tue Jul 01 00:26:50 UTC 2025
      30.3K bytes
      1 views
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  3. The History of Electronic Music in 476 Tracks (...

    <div class="svg-sprite" id="svg-sprite-container" style="display:none"></div>...type="text/javascript"> !function() { var static_server = 'dh...
    www.metafilter.com/209318/The-History-of-Electronic-Music-in-476-Tracks-19372001
    Thu Jun 26 00:53:23 UTC 2025
      35.8K bytes
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  4. additionalPrimaryKeyMap | DBFlute

    [PK-name] = map: { ; tableName = [table-name] ; columnName = [column-name...PK_MEMBER = map: { ; tableName = MEMBER ; columnName = MEMBER_ID...
    dbflute.seasar.org/ja/manual/reference/dfprop/additionalprimarykey/index.html
    Fri Jun 13 09:55:28 UTC 2025
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  5. Scaling the regularization parameter for SVCs —...

    param_range = Cs , cv = cv , n_jobs = 2 , ) results [ label ] = test_scores...axes = plt . subplots ( nrows = 1 , ncols = 2 , sharey = True...
    scikit-learn.org/stable/auto_examples/svm/plot_svm_scale_c.html
    Mon Jun 30 13:50:27 UTC 2025
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  6. Map data to a normal distribution — scikit-lear...

    QuantileTransformer N_SAMPLES = 1000 FONT_SIZE = 6 BINS = 30 rng = np . random...distribution df = 3 X_chisq = rng . chisquare ( df = df , size = size )...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_map_data_to_normal.html
    Mon Jun 30 13:50:27 UTC 2025
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  7. safe_mask — scikit-learn 1.7.0 documentation

    condition = [ False , True , True , False , True ] >>> mask = safe_mask...scipy.sparse import csr_matrix >>> data = csr_matrix ([[ 1 ], [ 2 ], [ 3...
    scikit-learn.org/stable/modules/generated/sklearn.utils.safe_mask.html
    Mon Jun 30 13:50:28 UTC 2025
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  8. Multi-dimensional scaling — scikit-learn 1.7.0 ...

    random_state = 42 , n_jobs = 1 , n_init = 1 , ) X_nmds = nmds . fit_transform...[:, 1 ], color = "navy" , s = s , lw = 0 , label = "True Position"...
    scikit-learn.org/stable/auto_examples/manifold/plot_mds.html
    Mon Jun 30 13:50:30 UTC 2025
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  9. Features in Histogram Gradient Boosting Trees —...

    electricity = fetch_openml ( name = "electricity" , version = 1 , as_frame...as_frame = True , parser = "pandas" ) df = electricity . frame...
    scikit-learn.org/stable/auto_examples/ensemble/plot_hgbt_regression.html
    Mon Jun 30 13:50:27 UTC 2025
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  10. Crafting a minimal reproducer for scikit-learn ...

    n_samples = 100 n_components = 3 X, y = make_blobs(n_samples=n_samples,...random_state = 42 ) scaler = StandardScaler ( with_mean = False )...
    scikit-learn.org/stable/developers/minimal_reproducer.html
    Mon Jun 23 19:23:22 UTC 2025
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