https://github.com/fluency03/logclustering-py

Log clustering by detecting the similarity between two logs.
https://github.com/fluency03/logclustering-py

edit-distances log-clustering python

Last synced: 12 months ago
JSON representation

Log clustering by detecting the similarity between two logs.

• Host: GitHub
• URL: https://github.com/fluency03/logclustering-py
• Owner: fluency03
• Created: 2016-03-10T13:54:13.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2016-05-16T08:15:30.000Z (about 10 years ago)
• Last Synced: 2025-04-08T04:05:01.858Z (about 1 year ago)
• Topics: edit-distances, log-clustering, python
• Language: Python
• Homepage:
• Size: 49.8 KB
• Stars: 13
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# logclustering-py

[![Build Status](https://travis-ci.org/fluency03/logclustering-py.svg?branch=master)](https://travis-ci.org/fluency03/logclustering-py)

Log clustering by detecting the similarity (editing distance) between two logs.

*This is part of my master thesis project and still in development.*

## Requirements

- [Python 2.7](https://www.python.org/downloads/)

- [NumPy](http://www.numpy.org/): The fundamental package needed for scientific computing with Python.

- [editdistance](https://github.com/aflc/editdistance): Fast implementation of the edit distance(Levenshtein distance) in C++ and CPython.

- [python-dateutil](https://github.com/dateutil/dateutil): Useful extensions to the standard Python datetime features.