https://github.com/gregavrbancic/docker-mlflow-server

MLflow Server Docker Image
https://github.com/gregavrbancic/docker-mlflow-server

Last synced: about 2 months ago
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MLflow Server Docker Image

• Host: GitHub
• URL: https://github.com/gregavrbancic/docker-mlflow-server
• Owner: GregaVrbancic
• Created: 2020-03-03T09:52:44.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2022-07-13T19:55:15.000Z (over 2 years ago)
• Last Synced: 2023-08-03T09:14:24.170Z (over 1 year ago)
• Language: Dockerfile
• Size: 17.6 KB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# MLflow Server Docker Image

Bitnami Python based [MLflow](https://www.mlflow.org/) Docker image.

## Usage

### Build and run locally:

```bash

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

```

### Build Docker image

```bash

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}

- MLFLOW_TRACKING_USERNAME=admin

- MLFLOW_TRACKING_PASSWORD=password

- 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```