This folder contains the most useful notebooks to train/eval/run the semi-supervised model.
quick_trainingis functionally the same asdetailed_training, but without the complex documentation and methods defined in the notebook. It pulls the methods from the architecture folder, which has scripts of predefined functions.interpretallows for model evaluation, through a variety of metrics, saliency scores of words in test strings, and encoding generation tools.inferenceruns the given models on any given data, outputting a folder of cohort files, with relevant model predictions.