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preprocessing.rst.txt
In other words, :class:`KernelCenterer` computes...+ min :class:`MaxAbsScaler` works in a very similar fashion, but...scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt -
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 -
index.rst.txt
rst text_analytics/working_with_text_data.rst machine_learning_map/index...scikit-learn.org/stable/_sources/tutorial/index.rst.txt -
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 -
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 -
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 -
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 -
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