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  1. glossary.rst.txt

    In other words, it (lossily) maps a non-rectangular...attempted, even if it may happen to work.) See :ref:`persistence_limitations`....
    scikit-learn.org/stable/_sources/glossary.rst.txt
    Thu May 09 23:01:25 UTC 2024
      88.1K bytes
      1 views
     
  2. related_projects.rst.txt

    Works as a drop-in replacement for...multi-step forecasters. It also works with any regressor compatible...
    scikit-learn.org/stable/_sources/related_projects.rst.txt
    Thu May 09 23:01:25 UTC 2024
      17.4K bytes
     
  3. v1.4.rst.txt

    MultiOutputClassifie` to work with estimators that don't consume...read-only. In particular, it now works with pandas copy-on-write mode...
    scikit-learn.org/stable/_sources/whats_new/v1.4.rst.txt
    Thu May 09 23:01:25 UTC 2024
      47K bytes
     
  4. v1.3.rst.txt

    `set_output` API correctly works with list input. :pr:`27044`...:class:`cluster.BisectingKMeans` now works with data that has a single...
    scikit-learn.org/stable/_sources/whats_new/v1.3.rst.txt
    Thu May 09 23:01:24 UTC 2024
      44.2K bytes
     
  5. neighbors.rst.txt

    the user can work with the :class:`BallTree` class...classification has been shown to work well in practice for data sets...
    scikit-learn.org/stable/_sources/modules/neighbors.rst.txt
    Wed May 08 07:10:46 UTC 2024
      37.8K bytes
     
  6. ensemble.rst.txt

    see the seminal work of [Friedman2001]_. GBDT is...overfitting, bagging methods work best with strong and complex...
    scikit-learn.org/stable/_sources/modules/ensemble.rst.txt
    Thu May 09 23:01:24 UTC 2024
      68.4K bytes
     
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