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Log Classification Project

This project classifies logs using BERT, LLM, and regex classification.

Project Structure

  • 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.

Classifier Models

Each classifier model is in its own file. All models are imported into the classify.py file, which then predicts the log messages.

Frontend

A simple frontend using FastAPI is still to be made.

Note

This project is not an original idea and was made by following a tutorial.

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