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@cmccarthy1 cmccarthy1 released this 09 Oct 11:31
· 1 commit to master since this release
4.0.0
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The release of ML toolkit 4.0 comes with several key changes, enhancements and improvements:

  • Unified Codebase: Migrated other components of the ML toolkit (NLP & AutoML) into the same repository for improved code sharing and maintainability.
  • PyKX Support: NLP, ML and AutoML will now use PyKX if available, otherwise reverting to embedPy.
  • Python Dependency Updates: Added support for python 3.11, and removed several dependency version pins & limits to ensure compatibility and improved performance.
  • Enhanced Testing & CI: Improved internal testing and continuous integration systems, ensuring better reliability for future releases. Includes automated Snyk scans for enhanced security.
  • Multi-Processing Support Fix: Resolved issues with multi-processing support, providing more robust and efficient parallel processing capabilities.
  • Examples Provided: Comprehensive examples and associated sample output reports are now available under examples/. These examples offer practical use cases and demonstrate the new features and improvements.
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