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There are several issues with the ML ops examples.
The first requires modifications to the docker image to work, (and throws many dependency images along the way). Furthermore, it does not describe where to find the link to the running jupyter notebook, or what functionality this example provides. (I can see there is a jupyter instance running, and there is a containerd instance running, but it's unclear how they are related)
The second also fails, but in a way much harder to debug:
Fetching cluster endpoint and auth data.
ERROR: (gcloud.container.clusters.get-credentials) ResponseError: code=400, message=Location "\"us-central1-a\"" does not exist.
Error on line: 97
Caused by: gcloud container clusters get-credentials $CLUSTER_NAME --zone $ZONE --project $PROJECT_ID
That returned exit status: 1
These examples are clearly out of date and need to be checked against newly created vanilla projects.
The text was updated successfully, but these errors were encountered:
There are several issues with the ML ops examples.
The first requires modifications to the docker image to work, (and throws many dependency images along the way). Furthermore, it does not describe where to find the link to the running jupyter notebook, or what functionality this example provides. (I can see there is a jupyter instance running, and there is a containerd instance running, but it's unclear how they are related)
The second also fails, but in a way much harder to debug:
These examples are clearly out of date and need to be checked against newly created vanilla projects.
The text was updated successfully, but these errors were encountered: