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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:

https://disqus.com/home/discussion/thewindowsazureproductsite/data_factory_create_predictive_pipelines_using_data_factory_and_machine_learning_microsoft_azure/

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?

1 Answer

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by (9.6k points)

The experiment expects a specific parameter. And yours might be slightly different. You can check the parameters again and run the experiment. 

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