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faq.rst.txt
:ref:`text_feature_extraction` for the built-in *text vectorizers*....^^^^^^^^^^ scikit-learn is regularly tested and maintained to work with...scikit-learn.org/stable/_sources/faq.rst.txt -
testimonials.rst.txt
div:: sk-text-image-grid-large .. div:: text-box Scikit-learn..... div:: sk-text-image-grid-large .. div:: text-box Scikit-learn...scikit-learn.org/stable/_sources/testimonials/testimonials.rst.txt -
grid_search.rst.txt
have identified the best candidate. The best candidate is identified...`factor=2` candidates: the best candidate is the best out of these 2 candidates....scikit-learn.org/stable/_sources/modules/grid_search.rst.txt -
roadmap.rst.txt
Improve scikit-learn common tests suite to make sure that (at.../ ordinal / English language text?") should also not need to be...scikit-learn.org/stable/_sources/roadmap.rst.txt -
neighbors.rst.txt
X_test, y_train, y_test = train_test_split(X, y, ......>>> print(nca_pipe.score(X_test, y_test)) 0.96190476... .. |nca_classification_1|...scikit-learn.org/stable/_sources/modules/neighbors.rst.txt -
clustering.rst.txt
math:: \text{ARI} = \frac{\text{RI} - E[\text{RI}]}{\max(\text{RI})...math:: \text{AMI} = \frac{\text{MI} - E[\text{MI}]}{\text{mean}(H(U),...scikit-learn.org/stable/_sources/modules/clustering.rst.txt -
ensemble.rst.txt
mean_squared_error(y_test, est.predict(X_test)) 5.00... >>> _ = est.set_pa...to est >>> mean_squared_error(y_test, est.predict(X_test)) 3.84......scikit-learn.org/stable/_sources/modules/ensemble.rst.txt -
install.rst.txt
running the full scikit-learn test suite via automated continuous...ckages\\sklearn\\datasets\\tests\\data\\openml\\292\\api-v1-...scikit-learn.org/stable/_sources/install.rst.txt -
related_projects.rst.txt
which facilitates best practices for testing and documenting estimators....More focused on statistical tests and less on prediction than...scikit-learn.org/stable/_sources/related_projects.rst.txt -
v1.3.rst.txt
and test curves by default. You can set `score_type="test"` to...`return_indices` to return the train-test indices of each cv split. :pr:`25659`...scikit-learn.org/stable/_sources/whats_new/v1.3.rst.txt