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faq.rst.txt
complex deep learning models, please turn to popular deep learning...Why is there no support for deep or reinforcement learning? Will...scikit-learn.org/stable/_sources/faq.rst.txt -
related_projects.rst.txt
from classics such as ARIMA to deep neural networks. The forecasting...emphasis on hidden Markov models. **Deep neural networks etc.** - `skorch...scikit-learn.org/stable/_sources/related_projects.rst.txt -
roadmap.rst.txt
input structure is key) with deep learning, representation learning,...already done, and we try to keep the document up to date as we...scikit-learn.org/stable/_sources/roadmap.rst.txt -
testimonials.rst.txt
Despite using deep neural nets for `a few <htt...easy to save and reuse; updates keep us informed of new developments...scikit-learn.org/stable/_sources/testimonials/testimonials.rst.txt -
glossary.rst.txt
ssifi(max_depth=3))`` has a deep parameter ``estimator__max_depth``...:term:`set_params`. A parameter ``deep`` can be used, when set to False...scikit-learn.org/stable/_sources/glossary.rst.txt -
ensemble.rst.txt
Random forests typically rely on deep trees (that overfit individually)...scikit-learn.org/stable/_sources/modules/ensemble.rst.txt -
support.rst.txt
questions on the bug tracker to keep the focus on development. -...scikit-learn.org/stable/_sources/support.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 -
cross_validation.rst.txt
classes in each split while keeping each group within a single...:func:`cross_val_score`, grid search, etc. Keep in mind that :func:`train_test_split`...scikit-learn.org/stable/_sources/modules/cross_validation.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