Model Development - Predict Script

RobotPsychologist / bg_control

Improving short-term prandial blood glucose outcomes for people with type 1 diabetes, a complex disease that affects nearly 10 million people worldwide. We aim to leverage semi-supervised learning to identify unlabelled meals in time-series blood glucose data, develop meal-scoring functions, and explore causal machine-learning techniques.

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The predict script should:

[ ] load trained models from 0_meal_identification/meal_identification/models
[ ] load data from 0_meal_identification/meal_identification/data/processed
[ ] Evaluate trained models with sktime metrics
[ ] Generate reports of metrics for a particular experiment 0_meal_identification/meal_identification/reports

Examples:

Example predict script: https://github.com/manifoldailearning/Complete-MLOps-Bootcamp-v2/blob/962209facd70514febf28c5b0e77f4ea00fdd894/Packaging-ML-Model/packaging-ml-model/prediction_model/predict.py
Deep learning example but similar functionality: https://github.com/mrdbourke/pytorch-deep-learning/blob/6aa8b4c9f868c6fc6113badce81b38cda71dfd30/going_modular/going_modular/predictions.py

RobotPsychologist / bg_control

Model Development - Predict Script #93

Examples: