New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Log and Deploy Models with MLflow Models #12

Open

gavinkatz001 opened this issue Dec 13, 2024 · 0 comments

Contributor

gavinkatz001 commented Dec 13, 2024

Description

Use MLflow Models to log and package trained models.
Support model types relevant to our project. For example, probabilistic forecasting (e.g., ARIMA, LSTMs), causal inference models, and RL algorithms.
Ensure models are packaged with sufficient metadata for deployment in glucose monitoring systems.

Acceptance Criteria

Trained models are logged and saved using the MLflow Model API.
Deployment scripts can load models for inference and testing.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment