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Results 11 - 16 of 16 for deep (0.06 sec)
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ensemble.rst.txt
Random forests typically rely on deep trees (that overfit individually)...scikit-learn.org/stable/_sources/modules/ensemble.rst.txt -
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 -
getting_started.rst.txt
cross-validation and searching will largely keep you from this common pitfall....scikit-learn.org/stable/_sources/getting_started.rst.txt -
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 -
preprocessing.rst.txt
very flexible and robust if you keep a fixed low degree, usually...scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt -
clustering.rst.txt
but only keeps one row in memory at a time...scikit-learn.org/stable/_sources/modules/clustering.rst.txt