MLFlow Integration

The EvoML pipeline provides seamless integration with MLflow for model management and deployment. To log the model into an MLflow Server/Registry, use the following command:

make upload-mlflow ARGS="-h"

Or if using poetry:

poe upload-mlflow

This command allows you to configure the MLFlow server connection and backend storage. You can provide configuration options via environment variables or command-line arguments, following MLflow's official documentation.