Modernize code with sklearn pipelines and NumPy vectorization #21
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This PR modernizes the codebase with: 1. Scikit-learn pipelines for data processing 2. NumPy vectorization for token extraction 3. Improved code organization with OOP principles 4. Comprehensive docstrings and type hints 5. Backward compatibility for existing users The changes improve maintainability and performance while ensuring compatibility with modern ML practices.
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This PR modernizes the codebase with:
The changes improve maintainability and performance while ensuring compatibility with modern ML practices.
Overview
Brief description of what this PR does, and why it is needed.
Demo
Optional. Screenshots,
curlexamples, etc.Notes
Optional. Ancillary topics, caveats, alternative strategies that didn't work out, anything else.
Testing Instructions