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Results 11 - 15 of 15 for deep (0.05 sec)

  1. preprocessing.rst.txt

    very flexible and robust if you keep a fixed low degree, usually...
    scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt
    Fri May 31 14:06:06 UTC 2024
      53K bytes
     
  2. clustering.rst.txt

    but only keeps one row in memory at a time...
    scikit-learn.org/stable/_sources/modules/clustering.rst.txt
    Fri May 31 14:06:06 UTC 2024
      92.6K bytes
     
  3. related_projects.rst.txt

    `sklearn-deap <https://github.com/rsteca/sklearn-deap>`_ Use evolutionary...applications. Compatible with deep learning frameworks and scikit-learn...
    scikit-learn.org/stable/_sources/related_projects.rst.txt
    Fri May 31 14:06:06 UTC 2024
      17.4K bytes
     
  4. ensemble.rst.txt

    Random forests typically rely on deep trees (that overfit individually)...
    scikit-learn.org/stable/_sources/modules/ensemble.rst.txt
    Fri May 31 14:06:06 UTC 2024
      72.8K bytes
     
  5. v1.3.rst.txt

    can set `score_type="test"` to keep the past behaviour. :pr:`25120`...:class:`base.TransformerMixin` now currently keeps a namedtuple's class if `transform`...
    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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