Deploying MLflow Model without Conda environment Deploying MLflow Model without Conda environment docker docker

Deploying MLflow Model without Conda environment


You do not need to have a Conda environment installed with the --no-conda option.

As seen in the Quickstart guide (https://www.mlflow.org/docs/latest/quickstart.html) it notes that it is fine as long as all dependencies are installed. Doesn't matter how you installed these dependencies (pipenv, poetry or pip).

Caveat being: this way you can't define dependencies for your project in MLFlow (since that uses conda to install these dependencies)

You should be able to safely continue your current practice.