gregsi/docker-mlflow-server repository overview

⁠MLflow Server Docker Image

Bitnami Python based MLflow⁠ Docker image.

⁠Usage

⁠Build and run locally:

docker compose -f docker-compose-local.yml up

⁠Build Docker image

docker compose -f docker-compose-local.yml build

You can also set the following environmental variables:

• DB_HOST=localhost # Database host
• DB_PORT=5432 # Port on which is DB running
• DB_NAME=db # Database name
• DB_USER=postgres # Database username
• DB_PASSWD=postgres # Database password
• MLFLOW_S3_ENDPOINT_URL=${S3_ENDPOINT_URL}
• AWS_REGION=${S3_REGION}
• AWS_ACCESS_KEY_ID=${S3_ACCESS_KEY_ID}
• AWS_SECRET_ACCESS_KEY=${S3_SECRET_ACCESS_KEY}
• ARTIFACT_ROOT=${S3_BUCKET}
• HOST=${HOST} # # exposed MLFlow host (default: 0.0.0.0)

⁠Use already built image

docker compose up