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azureml-apps-mlflow-ui / sha256:fcadb83e1c7cf814a6f73f06b0d008bf19073d0e322db9fe3ce63f167145e4c1

sha256:fcadb83e1c7cf814a6f73f06b0d008bf19073d0e322db9fe3ce63f167145e4c1

Install from the command line
Learn more about packages
$ docker pull ghcr.io/akshaya-a/azureml-apps-mlflow-ui@sha256:fcadb83e1c7cf814a6f73f06b0d008bf19073d0e322db9fe3ce63f167145e4c1
Use as base image in Dockerfile:
FROM ghcr.io/akshaya-a/azureml-apps-mlflow-ui@sha256:fcadb83e1c7cf814a6f73f06b0d008bf19073d0e322db9fe3ce63f167145e4c1
Run MLflow UI on AzureML Compute Instances as a custom application

Manifest

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  "labels": {
    "maintainer": "Akshaya Annavajhala",
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    "org.opencontainers.image.created": "2022-10-24T06:54:57.969Z",
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    "org.opencontainers.image.url": "https://github.com/akshaya-a/azureml-apps",
    "org.opencontainers.image.licenses": "MIT"
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