Computation times

05:25.331 total execution time for 5 files from auto_examples/data_ops:

Example	Time	Mem (MB)
Multiples tables: building machine learning pipelines with DataOps (12_multiple_tables.py)	04:10.441	0.0
Hyperparameter tuning with DataOps (13_choices.py)	00:47.640	0.0
Subsampling for faster development (14_subsampling.py)	00:13.383	0.0
Introduction to machine-learning pipelines with skrub DataOps (11_data_ops_intro.py)	00:08.112	0.0
Use case: developing locally and deploying to production (15_use_case.py)	00:05.756	0.0