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  1. preprocessing.rst.txt

    K_{test} - 1'_{\text{n}_{samples}} K - K_{test} 1_{\text{n}_{samples}}...>>> X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=42)...
    scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt
    Fri May 31 14:06:06 UTC 2024
      53K bytes
     
  2. clustering.rst.txt

    math:: \text{ARI} = \frac{\text{RI} - E[\text{RI}]}{\max(\text{RI})...math:: \text{AMI} = \frac{\text{MI} - E[\text{MI}]}{\text{mean}(H(U),...
    scikit-learn.org/stable/_sources/modules/clustering.rst.txt
    Fri May 31 14:06:06 UTC 2024
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  3. decomposition.rst.txt

    ||X-UV||_{\text{Fro}}^2+\alpha||V||_{1,1} \\ \text{subject to...||X-UV||_{\text{Fro}}^2+\alpha||U||_{1,1} \\ \text{subject to...
    scikit-learn.org/stable/_sources/modules/decomposition.rst.txt
    Fri May 31 14:06:04 UTC 2024
      45.8K bytes
      1 views
     
  4. faq.rst.txt

    :ref:`text_feature_extraction` for the built-in *text vectorizers*....a.toc-backref, h3 > a.toc-backref { text-decoration: none; } </style>...
    scikit-learn.org/stable/_sources/faq.rst.txt
    Fri May 31 14:06:06 UTC 2024
      24.5K bytes
      3 views
     
  5. roadmap.rst.txt

    / ordinal / English language text?") should also not need to be...Improve scikit-learn common tests suite to make sure that (at...
    scikit-learn.org/stable/_sources/roadmap.rst.txt
    Fri May 31 14:06:04 UTC 2024
      11.7K bytes
     
  6. grid_search.rst.txt

    _selection_plot_grid_search_text_feature_extraction.py` for an...Search coupling parameters from a text documents feature extractor...
    scikit-learn.org/stable/_sources/modules/grid_search.rst.txt
    Fri May 31 14:06:06 UTC 2024
      32.8K bytes
      2 views
     
  7. glossary.rst.txt

    common tests This refers to the tests run on almost every...``(train_idx, test_idx)`` pairs. Each of {train,test}_idx is a 1d...
    scikit-learn.org/stable/_sources/glossary.rst.txt
    Fri May 31 14:06:06 UTC 2024
      89.4K bytes
      1 views
     
  8. getting_started.rst.txt

    X_test, y_train, y_test = train_test_split(X, y, random_state=0)...>>> X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)...
    scikit-learn.org/stable/_sources/getting_started.rst.txt
    Fri May 31 14:06:06 UTC 2024
      10K bytes
     
  9. ensemble.rst.txt

    train_test_split >>> X_train, X_test, y_train, y_test = train_test_split(X,...X_train, X_test = X[:2000], X[2000:] >>> y_train, y_test = y[:2000],...
    scikit-learn.org/stable/_sources/modules/ensemble.rst.txt
    Fri May 31 14:06:06 UTC 2024
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  10. v1.3.rst.txt

    and test curves by default. You can set `score_type="test"` to...- :class:`feature_extraction.text.TfidfTransformer` - :class:...
    scikit-learn.org/stable/_sources/whats_new/v1.3.rst.txt
    Fri May 31 14:06:06 UTC 2024
      44.2K bytes
     
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