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

  1. decomposition.rst.txt

    the singular vectors we will keep to actually perform the transform....(:math:`n\_features`) for `W` to keep their impact balanced with respect...
    scikit-learn.org/stable/_sources/modules/decomposition.rst.txt
    Fri May 03 17:04:24 UTC 2024
      45.8K bytes
     
  2. 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 03 17:04:25 UTC 2024
      52.7K bytes
     
  3. clustering.rst.txt

    but only keeps one row in memory at a time...
    scikit-learn.org/stable/_sources/modules/clustering.rst.txt
    Sat May 04 16:42:14 UTC 2024
      91.9K bytes
     
  4. ensemble.rst.txt

    Random forests typically rely on deep trees (that overfit individually)...
    scikit-learn.org/stable/_sources/modules/ensemble.rst.txt
    Sat May 04 16:42:14 UTC 2024
      68.4K 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
    Sat May 04 16:42:14 UTC 2024
      44.2K bytes
     
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