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Stefanie Senger 2bafd7b68f
MNT metadata routing: remove `MethodMapping.from_str()` and sort `caller`, `callee` in `MethodPair()` (#28422) 
Co-authored-by: Adrin Jalali <adrin.jalali@gmail.com>
Co-authored-by: Guillaume Lemaitre <guillaume@probabl.ai>
 		2024-05-02 10:13:21 +02:00
..
README.txt DOC Make release highlights the first gallery section (#16952) 2020-04-27 11:23:15 -04:00
plot_anomaly_comparison.py MNT add isort to ruff's rules (#26649) 2023-06-21 17:50:07 +02:00
plot_display_object_visualization.py MAINT Update fetch_openml to use the auto parser by default (#27802) 2023-11-20 11:20:20 +01:00
plot_estimator_representation.py MNT add isort to ruff's rules (#26649) 2023-06-21 17:50:07 +02:00
plot_isotonic_regression.py MNT add isort to ruff's rules (#26649) 2023-06-21 17:50:07 +02:00
plot_johnson_lindenstrauss_bound.py MNT add isort to ruff's rules (#26649) 2023-06-21 17:50:07 +02:00
plot_kernel_approximation.py MAINT Clean up deprecations for 1.5: in LinearSV* (#28816) 2024-04-12 09:49:27 +02:00
plot_kernel_ridge_regression.py MNT upgrade black version (#28802) 2024-04-10 11:06:55 -04:00
plot_metadata_routing.py MNT metadata routing: remove `MethodMapping.from_str()` and sort `caller`, `callee` in `MethodPair()` (#28422) 2024-05-02 10:13:21 +02:00
plot_multilabel.py MNT add isort to ruff's rules (#26649) 2023-06-21 17:50:07 +02:00
plot_multioutput_face_completion.py MNT add isort to ruff's rules (#26649) 2023-06-21 17:50:07 +02:00
plot_outlier_detection_bench.py DOC Iter on outlier detection estimators example (#28550) 2024-03-06 16:41:43 +01:00
plot_partial_dependence_visualization_api.py MNT add isort to ruff's rules (#26649) 2023-06-21 17:50:07 +02:00
plot_pipeline_display.py MNT add isort to ruff's rules (#26649) 2023-06-21 17:50:07 +02:00
plot_roc_curve_visualization_api.py MNT add isort to ruff's rules (#26649) 2023-06-21 17:50:07 +02:00
plot_set_output.py MAINT Update fetch_openml to use the auto parser by default (#27802) 2023-11-20 11:20:20 +01:00

README.txt 

.. _miscellaneous_examples:

Miscellaneous
-------------

Miscellaneous and introductory examples for scikit-learn.