v0.3.0 (June, 2025)

🎉 Major Release: NumPy 2.0+ Compatibility & Modern ML Libraries

This release brings full compatibility with NumPy 2.0+ and pandas 2.0+ while modernizing the text embedding infrastructure with sentence-transformers.

🚀 New Features

• Full NumPy 2.0+ and pandas 2.0+ compatibility
• Modern sentence-transformers integration for text embeddings
• Support for latest scikit-learn, matplotlib, and scipy versions
• Enhanced error handling for missing dependencies
• Updated Python support (3.9-3.12)

🔧 Breaking Changes

• Replaced Flair with sentence-transformers for text embeddings
• Removed gensim dependency (eliminates NumPy version conflicts)
• Updated text embedding API to use sentence-transformers models
• Dropped Python 3.6-3.8 support in favor of modern Python versions

🐛 Bug Fixes

• Fixed numpy.str_ deprecation that broke in NumPy 2.0+
• Updated HuggingFace datasets import for API changes
• Fixed sklearn model detection preventing incorrect sentence-transformers usage
• Fixed pandas iteritems deprecation for pandas 2.0+ compatibility
• Replaced deprecated matplotlib.pyplot.imread

📚 Documentation & Examples

• Updated all examples to use sentence-transformers syntax
• Modernized installation instructions and model references
• Comprehensive tutorial updates with new embedding approaches

🔄 Migration Guide

Old Flair syntax:
{'model': 'TransformerDocumentEmbeddings', 'args': ['bert-base-uncased']}

New sentence-transformers syntax:
{'model': 'all-mpnet-base-v2', 'args': [], 'kwargs': {}}

🛠️ Technical Changes

• Sklearn models (CountVectorizer, etc.) now properly detected before sentence-transformers
• Enhanced model detection prevents accidental model misclassification
• Improved error messages for missing optional dependencies
• Full compatibility with modern scientific Python stack