I'm trying to run this test, and while I've successfully created the environment and cluster using the Dask ML CLI as described, when I try to run the job I get:
(base) rsignell@OSC:~/repos/dask-on-azureml-sample$ az ml job create -g $GROUP -w $WORKSPACE --file job.yml
Class AutoDeleteSettingSchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
Class AutoDeleteConditionSchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
Class BaseAutoDeleteSettingSchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
Class IntellectualPropertySchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
Class ProtectionLevelSchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
Class BaseIntellectualPropertySchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
Error with code: <urllib3.connection.HTTPSConnection object at 0x7fd93e6ee050>: Failed to establish a new connection: [Errno -2] Name or service not known
I'm guessing that I need to specify a valid output location in the job.yml, right?
Like setting uri_folder to blob storage that the cluster has access to?
Or perhaps we have another type of problem?
I'm trying to run this test, and while I've successfully created the environment and cluster using the Dask ML CLI as described, when I try to run the job I get:
I'm guessing that I need to specify a valid output location in the job.yml, right?
Like setting
uri_folderto blob storage that the cluster has access to?Or perhaps we have another type of problem?