https://arxiv.org/abs/2410.03399
EBES is an easy-to-use development and application toolkit for Event Sequence(EvS) Assesment, with key features in configurability, compatibility and reproducibility. We hope this project could benefit both researchers and practitioners with the goal of easily customized development and open benchmarking in EvS.
To install the latest stable version:
pip install ebes
python main -d age -m gru -e correlation -s best
Performance of various models as a function of number of sequences. Metrics from Table 1 are reported. Number of sequences is presented in log scale. Standard deviation across 3 runs is depicted as vertical lines.
Performance metric relationships and correlations of different subsets among all methods on PhysioNet2012 are presented. We do not observe a correlation between the test metric and train-val on PhysioNet2012, as seen in the right upper corner. For the Taobao dataset, we do not observe a clear linear trend between hpo-val and the test metric suggesting the presence of distribution shift.
