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ensemble.rst.txt
train_test_split >>> X_train, X_test, y_train, y_test = train_test_split(X,...X_train, X_test = X[:2000], X[2000:] >>> y_train, y_test = y[:2000],...scikit-learn.org/stable/_sources/modules/ensemble.rst.txt -
testimonials.rst.txt
but its careful and well tested implementation give us the...Moreover, its consistent API, well-tested code and permissive licensing...scikit-learn.org/stable/_sources/testimonials/testimonials.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 -
roadmap.rst.txt
Improve scikit-learn common tests suite to make sure that (at...scikit-learn.org/stable/_sources/roadmap.rst.txt -
grid_search.rst.txt
iter n_resources mean_test_score params ==== ====== ==========...done by using the :func:`train_test_split` utility function. Parallelism...scikit-learn.org/stable/_sources/modules/grid_search.rst.txt -
feature_extraction.rst.txt
testing.assert_array_equal(one_image,...scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt -
decomposition.rst.txt
To also transform a test set :math:`X`, we multiply it...scikit-learn.org/stable/_sources/modules/decomposition.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 -
v1.4.rst.txt
train_test_split` in :pr:`26855` by `Tim...scikit-learn.org/stable/_sources/whats_new/v1.4.rst.txt