This project classifies logs using BERT, LLM, and regex classification.
- models/: Contains the exported logistic regression joblib file.
- resources/: Contains the test and output CSV files.
- training/: Contains the Jupyter notebook (
.ipynb
) file in which we analyzed and cleaned data. - dataset/: Contains the sample dataset.
Each classifier model is in its own file. All models are imported into the classify.py
file, which then predicts the log messages.
A simple frontend using FastAPI is still to be made.
This project is not an original idea and was made by following a tutorial.