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.
https://blood-glucose-control.streamlit.app/
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skchange integration - base class homogenization #107

Open RobotPsychologist opened 3 weeks ago

fkiraly commented 3 weeks ago

As described in issue https://github.com/sktime/sktime/issues/7323

I have carried out the most significant parts on the base class level here: https://github.com/sktime/sktime/pull/7342

What remains is:

Once this is done, we can make changes within skchange itself:

alyssadsouza commented 2 weeks ago

👍

ShivamJ07 commented 2 weeks ago

Interested

RobotPsychologist commented 5 days ago

Closing this because franz, martin, and alex merged previous work