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  1. cross_validation.rst.txt

    classes in each split while keeping each group within a single...:func:`cross_val_score`, grid search, etc. Keep in mind that :func:`train_test_split`...
    scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt
    Thu Jul 03 11:42:04 UTC 2025
      41.1K bytes
      6 views
     
  2. about.rst.txt

    is available when needed to keep the project funded and available...
    scikit-learn.org/stable/_sources/about.rst.txt
    Thu Jul 03 11:42:04 UTC 2025
      16.6K bytes
      4 views
     
  3. linear_model.rst.txt

    There are different things to keep in mind when dealing with data...
    scikit-learn.org/stable/_sources/modules/linear_model.rst.txt
    Thu Jul 03 11:42:04 UTC 2025
      78.8K bytes
      9 views
     
  4. support.rst.txt

    questions on the bug tracker to keep the focus on development. -...
    scikit-learn.org/stable/_sources/support.rst.txt
    Thu Jul 03 11:42:04 UTC 2025
      4.4K bytes
     
  5. faq.rst.txt

    complex deep learning models, please turn to popular deep learning...Why is there no support for deep or reinforcement learning? Will...
    scikit-learn.org/stable/_sources/faq.rst.txt
    Thu Jul 03 11:42:05 UTC 2025
      25.4K bytes
      3 views
     
  6. roadmap.rst.txt

    input structure is key) with deep learning, representation learning,...already done, and we try to keep the document up to date as we...
    scikit-learn.org/stable/_sources/roadmap.rst.txt
    Thu Jul 03 11:42:05 UTC 2025
      8.6K bytes
     
  7. related_projects.rst.txt

    from classics such as ARIMA to deep neural networks. The forecasting...emphasis on hidden Markov models. **Deep neural networks etc.** - `skorch...
    scikit-learn.org/stable/_sources/related_projects.rst.txt
    Thu Jul 03 11:42:04 UTC 2025
      15.2K bytes
     
  8. testimonials.rst.txt

    Despite using deep neural nets for `a few <htt...easy to save and reuse; updates keep us informed of new developments...
    scikit-learn.org/stable/_sources/testimonials/testimonials.rst.txt
    Thu Jul 03 11:42:07 UTC 2025
      25.7K bytes
      4 views
     
  9. glossary.rst.txt

    ssifi(max_depth=3))`` has a deep parameter ``estimator__max_depth``...:term:`set_params`. A parameter ``deep`` can be used, when set to False...
    scikit-learn.org/stable/_sources/glossary.rst.txt
    Thu Jul 03 11:42:04 UTC 2025
      89.3K bytes
      1 views
     
  10. ensemble.rst.txt

    Random forests typically rely on deep trees (that overfit individually)...
    scikit-learn.org/stable/_sources/modules/ensemble.rst.txt
    Thu Jul 03 11:42:04 UTC 2025
      72K bytes
     
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