v4.0.0-alpha.1

Changed

• Simplified the public package API by splitting up the single class-based API into core functions (predict, finetune, train, etc.)
• Switched deep learning framework from Tensorflow to PyTorch
• Speed up predictions by removing ensemble method where output from three models with differing kernel sizes was averaged to one prediction
• Separated calibration logic to dedicated reusable module with sklearn-like API.
• Improved computational efficiency of piece-wise linear calibration and set sensible default parameters
• Built-in transfer learning functionality, instead of using external deeplcretrainer package.
• Cleaned up package, removing legacy and unused code and files, and improving modularity
• Modernized CI workflows to use uv
• Added sphinx-based documentation for readthedocs

Removed

• Removed library-feature for storing past predictions
• Removed legacy CALLC functionality