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This pull request introduces a new social determinants of health (SDoH) sentence classifier based on a fine-tuned large language model, adds its dependencies, and provides a corresponding test. It also adds a utility for reproducible random seed setting in tests. The main changes are grouped below:
New SDoH Classifier Implementation:
SdohClassifierinpyhealth/models/sdoh.py, which uses a fine-tuned Llama model with PEFT adapters to predict SDoH labels from clinical sentences. Includes prompt engineering, model loading, and response parsing logic.Dependency Management:
peftandaccelerateto thepyproject.tomldependencies to support the new classifier's model loading and inference.Testing and Reproducibility:
TestSdohintests/core/test_sdoh.pyto validate classifier predictions with a sample sentence, ensuring correct label extraction.set_random_seedutility intests/base.pyfor deterministic test runs, including CUDA and cuDNN configuration for reproducibility.