/docker-mlflow-server

MLflow Server Docker Image

Primary LanguageDockerfile

MLflow Server Docker Image

Python 3.7 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}

Use already built image

docker-compose up