When I use a data factory to update Azure ML models like the document said (https://docs.microsoft.com/en-us/azure/data-factory/v1/data-factory-azure-ml-update-resource-activity),
I faced one problem:
The blob reference: test/model.ilearner has an invalid or missing file extension. Supported file extensions for this output type are: ".csv, .tsv, .arff".'.
I have searched for the problem and found this solution:
But my linked service for the outputs of the training service pipeline and update service pipeline is already different.
How can I solve this problem?
The experiment expects a specific parameter. And yours might be slightly different. You can check the parameters again and run the experiment.