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Oufattole / meds-torch

MIT License
11 stars 1 forks source link

Dev #5

Closed Oufattole closed 2 months ago

Oufattole commented 2 months ago

Added support for supervised training with several architectures.

Summary by CodeRabbit

coderabbitai[bot] commented 2 months ago

Walkthrough

The MEDS torch models have been significantly enhanced with support for various batch generation styles, LSTM and Transformer models, supervised training, transfer learning models, and new pytest configurations. Key updates include new classes, revamped configuration files, and integration with lightning and x-transformers. Additionally, substantial changes to embedding handling and model declaration while maintaining compatibility with existing features.

Changes

File(s) Change Summary
README.md Added summary of new features, models, and training options.
pyproject.toml Updated dependencies for new modules and testing with pytest-sugar, pytest-instafail, and pytest-xdist.
.../configs/model/default.yaml, .../configs/pytorch_dataset.yaml Introduced default training configurations for models; removed and added settings accordingly.
src/meds_torch/embedder.py Renamed ObservationEmbedder to TripletEmbedder and updated configuration handling.
src/meds_torch/model/architectures/... Added new model files for LSTM, Transformers, and support functions.
tests/test_dataloader.py, tests/test_model.py Modified test imports and added test cases for new models.

Poem

In the lands of torch, models anew,
With batches styled and transformers in view,
LSTM joins the epic quest,
Supervised, transfer learning at its best!
Pytests shine, dependencies true,
Amidst the code, fresh features grew.
🐇 With leaps and bounds, your data to subdue! 🌟

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