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Results 11 - 20 of 20 for tests (0.07 sec)

  1. pydata-sphinx-theme.js

    test(e)&&a.test(e),o=(e,t,n)=>{h(n);const.../i.test(e.key)?document.activeElement===t&&/Escape/i.test(e....
    scikit-learn.org/stable/_static/scripts/pydata-sphinx-theme.js
    Mon Jun 10 22:40:14 UTC 2024
      9.2K bytes
     
  2. sg_gallery.css

    to fix default sphinx themes Tested for Sphinx 1.3.1 for all themes:...traditional, nature, haiku, pyramid Tested for Read the Docs theme 0.1.7...
    scikit-learn.org/dev/_static/sg_gallery.css
    Fri Jun 07 19:49:37 UTC 2024
      9.3K bytes
      Similar Results (1)
     
  3. bootstrap.js

    test(j());if(/Trident/i.test(j())&&S(t)&&"fi...F(){return!/^((?!chrome|android).)*safari/i.test(j())}function H(t,e,i){void...
    scikit-learn.org/dev/_static/scripts/bootstrap.js
    Fri Jun 07 19:49:37 UTC 2024
      79.8K bytes
      Similar Results (1)
     
  4. plot_classifier_comparison.py

    and test part X, y = ds X_train, X_test, y_train, y_test = train_test_split(...Plot the testing points ax.scatter( X_test[:, 0], X_test[:, 1],...
    scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py
    Thu Jun 06 17:04:45 UTC 2024
      4.9K bytes
      1 views
     
  5. plot_hgbt_regression.ipynb

    import train_test_split\n\nX_train, X_test, y_train, y_test = train_test_split(X,...train_test_split(X, y, test_size=0.4, shuffle=False)\n\nprint(f\"Training...
    scikit-learn.org/stable/_downloads/cb9a8a373677fb481fe43a11d8fa0e94/plot_hgbt_regression.ipynb
    Thu Jun 06 17:04:45 UTC 2024
      20.2K bytes
     
  6. plot_multi_metric_evaluation.ipynb

    ``'_<scorer_name>'`` (``'mean_test_precision'``,\n``'rank_test_precision'``,...in ((\"train\", \"--\"), (\"test\", \"-\")):\n sample_score_mean...
    scikit-learn.org/stable/_downloads/f57e1ee55d4c7a51949d5c26b3af07bb/plot_multi_metric_evaluation....
    Wed Jun 05 00:53:44 UTC 2024
      4.8K bytes
     
  7. plot_classifier_comparison.ipynb

    y_test = train_test_split(\n X, y, test_size=0.4, random_state=42\n...the testing points\n ax.scatter(\n X_test[:, 0], X_test[:, 1],...
    scikit-learn.org/stable/_downloads/3438aba177365cb595921cf18806dfa7/plot_classifier_comparison.ipynb
    Thu Jun 06 17:04:46 UTC 2024
      5.8K bytes
     
  8. plot_release_highlights_1_5_0.ipynb

    X_test, y_train, y_test = train_test_split(X, y, ...imator(classifier_05, X_test, y_test)" ] }, { "cell_type": "markdown",...
    scikit-learn.org/stable/_downloads/ae2d0a2ad69c5df5b93e5ea5c87d56b2/plot_release_highlights_1_5_0...
    Fri Jun 07 19:49:38 UTC 2024
      11.3K bytes
     
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