unofficial pytorch implement for UniParser: A Unified Log Parser for Heterogeneous Log Data (WWW 2022)
The code is used for solving log parsing problem. If you feel helpful for your work, please leave your Stars.
- benchmark: UniParser_benchmark scripts to reproduce the evaluation results.
- logparser: the logparser package, including the model file and other scripts.
- logs: Datasets and manually parsed structured logs with their templates (ground truth) from LogHub.
Here are the main packages
Numpy 1.21.4
PyTorch 1.10
Pandas 1.3.4
Run UniParser_benchmark.py in the benchmark folder.
Results are recorded in the ./benchmark/UniparserResult/ folder in the format of (precision, recall, f1, pa, mla_sc)