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This tool clusterizes lines of text given a collection of input patterns modeled using regular expressions.

Project description

Pattern clustering

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This tool clusterizes lines of text given a collection of input patterns modeled using regular expressions.

This work has been published to:

[ICPR’2022] A novel pattern-based edit distance for automatic log parsing, Maxime Raynal, Marc-Olivier Buob, Georges Quénot.

Features

  • Forms groups of homogeneous line using a pattern based distance, based on customizable patterns.

  • Configured by default to use common patterns (IP addresses, numeric values, etc.)

License

This project is licensed under the BSD-3-Clause license - see the LICENSE.

More about pattern-clustering

For more information, feel free to visit the wiki:

Acks

History

0.1.0 (2022-05-11): First release

  • First release on PyPI.

0.2.0 (2022-06-02): CI

  • Updated tox.ini and GitHub actions, work in progress.

0.3.0 (2022-06-22): Bug fixes and CI improvements

  • Fixed sphinx local build

  • Fixed bumpversion

  • Add experiments notebooks and datasets

  • Improved test suite

0.3.1 (2022-06-22): Bug fixes and CI improvements

  • Fixed readthedoc build

0.4.1 (2022-06-24): Bug fixes and CI improvements

  • Fixed readthedoc build

  • Implemented console script (cli)

  • Reworked PatternClusteringEnv class

  • Bug fixes

  • Updated documentation

0.4.2 (2022-06-24): Added entry points

  • Added pattern-distance entry point, see pattern-distance –help.

  • Added pattern-clustering-mkconf entry point. The resulting json may be passed to pattern-distance and pattern-clustering commands.

0.5.0 (2022-06-25): Added entry points

  • Bug fixes in notebooks/

  • Removed unused patterns

1.0.0 (2022-07-01): checked experiments

  • Checked experiments in notebooks/

  • Fixed warning related to documentation build

  • Improved tests

Project details


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pattern_clustering-1.0.0.tar.gz (36.1 kB view hashes)

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