scikit-learn/examples/preprocessing
Christian Lorentzen 679b8a5215
MNT don't use random_state in LogisticRegression unless it has an effect (#34287)
2026-06-17 11:41:00 +05:00
..
README.txt
plot_all_scaling.py
plot_discretization.py
plot_discretization_classification.py MNT don't use random_state in LogisticRegression unless it has an effect (#34287) 2026-06-17 11:41:00 +05:00
plot_discretization_strategies.py
plot_map_data_to_normal.py
plot_scaling_importance.py MNT Deprecate `multiclass_colors` in favour of `label_colors` in `DecisionBoundaryDisplay` (#34092) 2026-06-10 14:19:57 +10:00
plot_target_encoder.py DOC: Clarify recommended usage of fit_transform() vs fit().transform() in TargetEncoder (#32347) 2025-10-23 17:15:35 +02:00
plot_target_encoder_cross_val.py MNT Deprecate `shuffle` and `random_state` params from `TargetEncoder` (#33453) 2026-03-10 18:10:10 +01:00

README.txt

.. _preprocessing_examples:

Preprocessing
-------------

Examples concerning the :mod:`sklearn.preprocessing` module.