For the Kubernetes deployment, please refer to https://github.com/vahidmohsseni/k8s-mlflow.
The Dockerfile is also available at this link, where you can change the environment as you desire.
docker run -p 8001:8001 vahidm/mlflow
The above command will run the container accessible on the port of 8001.
Content type
Image
Digest
sha256:cb31bc15e…
Size
156.8 MB
Last updated
about 4 years ago
docker pull vahidm/mlflow