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CHANGELOG.md

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Changelog for Safaa

All notable changes to this project will be documented in this file.
This project adheres to Semantic Versioning.

Safaa 0.0.2 (2025-01-23)

This release introduces a new model for incremental learning using scikit-learn's SGD Classifier. The model is trained on the provided dataset and can be used for incremental learning tasks. Dependencies have been pinned to avoid conflicts and a pkl file has been added to the repository.

Authors:

> Kaushlendra Pratap <kaushlendra-pratap.singh@siemens.com>
> Gaurav Mishra <mishra.gaurav@siemens.com>

Changes:

  • 831e05f feat(workflows): Add Required Workflows for Build, Code Quality and Compatibility
  • b6d6999 fix(safaa): Pin conflicting dependencies and pkl file
  • 28df119 Update: Introduced scikit-learn based SGD Classifier model for incremental learning
  • 95b4623 feat(cd): use oidc instead of token

Safaa 0.0.1 (2023-11-2)

This release introduces the Safaa package, which includes a false positive detector and a named entity recognition model. The package can be used to preprocess data, predict false positives, declutter copyright notices, train models, and save trained models.

Authors:

> Gaurav Mishra <mishra.gaurav@siemens.com>
> Hero2323 <abdelrahmanjamal5565@gmail.com>

Changes:

  • e9188b8 fix(package): fix pypi warnings
  • 3c56981 fix(cd): add the correct directory path
  • d36aa6e feat(ci): lint and publish
  • 97e9af6 chore(repo): make reuse compliant
  • 8d9008d Update Safaa/setup.py
  • 325a503 Update Safaa/MANIFEST.in
  • 87cf656 Update README.md
  • d2eb6c5 updated package to safaa instead of Safaa, updated the license
  • 1a56c90 Updated the data conversion file documentation
  • 5f8a609 Added the package code after renaming it to Safaa, added training scripts for false positive detection, the datasets, as well as utility conversion scripts