Computation times

05:47.112 total execution time for 7 files from auto_examples/data_ops:

Example	Time	Mem (MB)
Multiples tables: building machine learning pipelines with DataOps (1120_multiple_tables.py)	02:59.671	631.7
Tuning DataOps with Optuna (1131_optuna_choices.py)	00:54.034	566.7
Hyperparameter tuning with DataOps (1130_choices.py)	00:43.372	566.6
Using PyTorch (via skorch) in DataOps (1160_pytorch.py)	00:25.910	594.3
Subsampling for faster development (1140_subsampling.py)	00:19.932	572.2
Introduction to wrangling pipelines for machine-learning skrub DataOps (1110_data_ops_intro.py)	00:13.784	566.7
Use case: developing locally and deploying to production (1150_use_case.py)	00:10.410	662.7