Computation times

05:47.627 total execution time for 6 files from auto_examples/02_data_ops:

Example	Time	Mem (MB)
Multiples tables: building machine learning pipelines with DataOps (1120_multiple_tables.py)	02:43.078	859.7
Tuning DataOps with Optuna (1131_optuna_choices.py)	01:28.763	820.3
Hyperparameter tuning with DataOps (1130_choices.py)	00:42.164	609.1
Using PyTorch (via skorch) in DataOps (1160_pytorch.py)	00:24.729	621.7
Subsampling for faster development (1140_subsampling.py)	00:18.973	637.4
Use case: developing locally and deploying to production (1150_use_case.py)	00:09.919	737.2