Results folder.
Figs and text results of experiments saved here.
During training, real-time results can be displayed via tensorboard:
tensorboard --logdir=/results/log/tensorboard/<tb_log_exp_name>
Logs of hyper-parameter tuning runs are found in /log
and can similarly be displayed (RayTune docs).
To run all experiments from the paper:
Main results
posh
uv run main.py --domain_shift "hospital"
uv run main.py --domain_shift "region"
uv run main.py --domain_shift "ward"
uv run main.py --domain_shift "ethnicity"
uv run main.py --domain_shift "ethnicity_coarse"
uv run main.py --domain_shift "age"
Alternative outcome definitions:
posh
uv run main.py --outcome "Shock_4h"
uv run main.py --outcome "Shock_12h"
uv run main.py --outcome "ARF_4h"
uv run main.py --outcome "ARF_12h"
Additional sequential models:
posh
uv run main.py --models "RNN" "GRU" "LSTM"
Regularization experiments:
posh
uv run main.py --dropout
Class incremental experiments:
posh
uv run main.py --class_shift