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  1. Nintendo Switch史上最高の名作だと思うゲームソフトランキング!3位「ゼルダの伝説...

    抑えて1位に選ばれたのは… 駅弁が一番おいしい都道府県ランキング!3位 群馬、2位 宮城、気になる1位は… 第1話が衝撃...秋田、2位 東京、1位は… 10 方言がかわいい都道府県ランキング!3位 愛知県、2位 大分県、1位に選ばれたのは… 1 美人が多いと思う都道府県ランキング!3位...
    ranking.goo.ne.jp/column/10322/
    Wed Sep 17 03:10:42 UTC 2025
      78.1K bytes
      Cache
     
  2. Fess で作る Elasticsearch ベースの検索サーバー 〜 ロールベース検索編

    04 JDK 1.8.0_74 ロールベース検索 Fess のロールベース検...
    fess.codelibs.org/ja/articles/article-2.html
    Thu Sep 18 02:39:01 UTC 2025
      22.2K bytes
      34 views
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  3. model_evaluation.rst.txt

    1, 1, 1, 1, 1] >>> y_pred = [0, 1, 0, 1, 0, 1, 0, 1] >>>...0, 0, 1, 1, 1, 1, 1] >>> y_pred = [0, 1, 0, 1, 0, 1, 0, 1] >>>...
    scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt
    Thu Sep 18 09:36:18 UTC 2025
      132.2K bytes
      3 views
     
  4. plot_classifier_comparison.zip

    C=1, random_state=42), GaussianProcessClass(1.0 * RBF(1.0),...max_features=1, random_state=42 ), MLPClassifier(alpha=1, max_iter=1000,...
    scikit-learn.org/stable/_downloads/ce35bcc69acbd491cf7ac77fa17889d5/plot_classifier_comparison.zip
    Thu Sep 18 09:36:17 UTC 2025
      10.8K bytes
     
  5. cross_validation.rst.txt

    [1., 1.], [-1., -1.], [2., 2.]]) >>> y = np.array([0, 1, 0,...3] [0 1] [1 3] [0 2] [1 2] [0 3] [0 3] [1 2] [0 2] [1 3] [0 1]...
    scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt
    Thu Sep 18 09:36:17 UTC 2025
      41.1K bytes
      6 views
     
  6. plot_classifier_comparison.py

    C=1, random_state=42), GaussianProcessClass(1.0 * RBF(1.0),...max_features=1, random_state=42 ), MLPClassifier(alpha=1, max_iter=1000,...
    scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py
    Thu Sep 18 09:36:18 UTC 2025
      4.8K bytes
      1 views
     
  7. auto_examples_python.zip

    r"($\frac{1}{3}$, $\frac{1}{3}$, $\frac{1}{3}$)", xy=(1.0 / 3, 1.0 /...plt.annotate( r"($1$, $0$, $0$)", xy=(1, 0), xytext=(1, 0.1), xycoords="data",...
    scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip
    Thu Sep 18 09:36:17 UTC 2025
      1.7M bytes
      7 views
     
  8. plot_kmeans_digits.zip

    1].min() - 1, reduced_data[:, 1].max() + 1 xx, yy =...reduced_data[:, 1].min() - 1, reduced_data[:, 1].max() + 1\nxx, yy =...
    scikit-learn.org/stable/_downloads/1393861b58df827d4c681b80a5be2472/plot_kmeans_digits.zip
    Thu Sep 18 09:36:17 UTC 2025
      15.5K bytes
     
  9. plot_discretization_strategies.rst.txt

    8]]) centers_1 = np.array([[0, 0], [3, 1]]) # construct the...len(strategies) + 1, i) ax.scatter(X[:, 0], X[:, 1], edgecolors="k")...
    scikit-learn.org/stable/_sources/auto_examples/preprocessing/plot_discretization_strategies.rst.txt
    Thu Sep 18 09:36:17 UTC 2025
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  10. pydata-sphinx-theme.js

    l={">":[1],">=":[0,1],"=":[0],"<=":[-1,0],"<":[-1]},d=Objec...("."),s.split(".")):a||s?a?-1:1:0})(e,t);return l[n].include...
    scikit-learn.org/stable/_static/scripts/pydata-sphinx-theme.js
    Thu Sep 18 09:36:17 UTC 2025
      10.9K bytes
     
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