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CLI for deployment of [MLFlow](https://mlflow.org/) with support for backend and artifact stores.

Project description

mlflow-deployment

CLI for deployment of MLFlow with support for backend and artifact stores.

Deploy MLFlow with support for PostgreSQL, Azure Blobs, Amazon S3 and Google Cloud Platform with ease.

Usage

  1. pip install mlflow-deploy-cli

  2. python -m mlflow_deploy_cli --artifact-store '<desired_store>' can be azure, s3, gcp or local

  3. cd build

  4. docker build . -t mlflow

  5. docker-compose up -f docker-compose.yml up

MLFlow is up and running 🚀.

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