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scikit-learn 1.3.2
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# Computation times

01:11.580 total execution time for auto_examples_preprocessing files:

Comparing Target Encoder with Other Encoders (`plot_target_encoder.py`) | 01:00.503 | 0.0 MB
Compare the effect of different scalers on data with outliers (`plot_all_scaling.py`) | 00:05.630 | 0.0 MB
Feature discretization (`plot_discretization_classification.py`) | 00:02.270 | 0.0 MB
Importance of Feature Scaling (`plot_scaling_importance.py`) | 00:01.187 | 0.0 MB
Map data to a normal distribution (`plot_map_data_to_normal.py`) | 00:01.159 | 0.0 MB
Demonstrating the different strategies of KBinsDiscretizer (`plot_discretization_strategies.py`) | 00:00.431 | 0.0 MB
Target Encoder’s Internal Cross fitting (`plot_target_encoder_cross_val.py`) | 00:00.252 | 0.0 MB
Using KBinsDiscretizer to discretize continuous features (`plot_discretization.py`) | 00:00.147 | 0.0 MB