Usage:
First, fill out the path to the logs of your experiment
log_path = your_logs_path_here
Then run
python src/utils/post_hoc_plot_utils.py
So far this set of plot utils logs user metrics and summary metrics (including AUC and best test / train loss + accyracy) under aggregate_metrics, and plots test / train loss + accuracy per round under plots
Usage: First, fill out the path to the logs of your experiment log_path =
your_logs_path_here
Then run
python src/utils/post_hoc_plot_utils.py
So far this set of plot utils logs user metrics and summary metrics (including AUC and best test / train loss + accyracy) under
aggregate_metrics
, and plots test / train loss + accuracy per round underplots