MLflow Image

This repository contains a Dockerfile to build a custom MLflow image.

Features

• Custom MLflow container image
• Utilizes MLflow for easy tracking and managing machine learning experiments
• Container image available on DockerHub Registry for easy deployment

Docker Image

The container image is available on DockerHub Registry. You can pull the pre-built image using the following command:

docker pull seblum/mlflow:latest

How to Use

1. Pull the Docker image from the DockerHub Registry as described above.
2. Deploy MLflow server using the Docker image. Customize the deployment according to your environment requirements.
3. Use MLflow to track and manage machine learning experiments efficiently.

Contributions

Contributions to this project are welcome! If you have any ideas or improvements, feel free to open an issue or submit a pull request.

License

This project is licensed under the MIT License. Feel free to use, modify, and distribute the code as needed.