Computation times

05:45.198 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)	03:11.428	678.6
Tuning DataOps with Optuna (1131_optuna_choices.py)	01:04.544	613.5
Hyperparameter tuning with DataOps (1130_choices.py)	00:30.751	518.4
Using PyTorch (via skorch) in DataOps (1160_pytorch.py)	00:20.085	537.7
Subsampling for faster development (1140_subsampling.py)	00:15.908	528.3
Introduction to machine-learning pipelines with skrub DataOps (1110_data_ops_intro.py)	00:13.657	517.3
Use case: developing locally and deploying to production (1150_use_case.py)	00:08.825	617.5