I record some final statistics into aim so I could compare results across experiments. These stats are measured outside training, so simply have a value at step 0 for each model. The charts look like this:
aim_logger.track(tp, name=f'{args.metric} True Positive', context={"subset": "test"})
aim_logger.track(tn, name=f'{args.metric} True Negative', context={"subset": "test"})
aim_logger.track(fp, name=f'{args.metric} False Positive', context={"subset": "test"})
aim_logger.track(fn, name=f'{args.metric} False Negative', context={"subset": "test"})
aim_logger.track(TotalErrors, name=f'{args.metric} TotalErrors', context={"subset": "test"})
aim_logger.track(F1Score, name=f'{args.metric} F1Score', context={"subset": "test"})
aim_logger.track(Precision, name=f'{args.metric} Precision', context={"subset": "test"})
aim_logger.track(Recall, name=f'{args.metric} Recall', context={"subset": "test"})
aim_logger.track(Specificity, name=f'{args.metric} Specificity', context={"subset": "test"})
aim_logger.track(Accuracy, name=f'{args.metric} Accuracy', context={"subset": "test"})
🐛 Bug
I record some final statistics into aim so I could compare results across experiments. These stats are measured outside training, so simply have a value at step 0 for each model. The charts look like this:
Even though the charts have multiple values, I'm not getting any group stats
To reproduce
This is how I'm logging these final stats:
Expected behavior
Environment
Additional context