Get: MLAC Generate Code

Generates an end-to-end ML Application Code (MLAC) bundle for the selected model, including training, evaluation, and serving components.

Endpoint:

/mlac/code/{model_id}

Input Parameters:

  • model_id (string, required): The trained model ID

Output:

Returns a downloadable archive (.zip) containing:

  • Python modules for training, prediction, evaluation
  • YAML configs and scripts for CI/CD integration
  • Jupyter notebooks for experimentation
  • API service blueprint (e.g., FastAPI or Flask)

This bundle is ideal for teams looking to embed ML into production pipelines.