Azure Designer: Cannot create inference because there is no model on this pipeline

Question

Azure Designer: Cannot create inference because there is no model on this pipeline

Helena 21

I have created a pipeline in Azure Designer and trying to deploy this as a batch prediction.

When I click "Create Inference Pipeline" and "Batch Inference Pipeline" I get this error message:
Cannot create inference because there is no model on this pipeline.

How can I deploy this as a batch prediction?

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Answer 1

Lu Zhang (MSFT) 86

Is it possible to share the screenshot of your designer pipeline or submit a feedback by clicking the smiley face on the top right corner of the studio portal? This will help us better debug/troubleshoot the issue.

Helena 21 Reputation points

2020-10-27T10:20:13.577+00:00

I can submit to the feedback.

But basically I have a model where I have 2 webservices input and 2 webservices output.
In between I only have Execute Python Scripts (no model attached).

I want to add 2 csv files and generate 2 outputs for those csv files.

In Azure Machine Learning Classic (V1) this was possible, but now I can't deploy as a webservice if there is no model attached to it.
RahulSingh 1 Reputation point

2020-10-29T09:38:37.433+00:00

I am facing the same issue . do we have any method to achieve this task ?
I Know it was possible in AML v1
Lu Zhang (MSFT) 86 Reputation points

2020-11-06T03:24:53.607+00:00

If you want to run batch inference, you don't need to convert to batch-inference pipeline. You can publish it directly by following this document: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-retrain-designer. If you need to run a real-time inference pipeline, the workaround is to clone the pipeline first and then submit the run. After that, you should be able to deploy a real-time endpoint.
Madaan, Nitin 6 Reputation points

2021-05-27T21:54:27.69+00:00

i just use execute Python Script and use Web service input and output and don't have a model. How do I publish a web service like in ML (Classic)?
David Eeckhout 21 Reputation points

2021-09-17T13:31:49.19+00:00

This is what I want to know as well? Did you find a workaround?

Basically, I want to migrate my web service from ML classic. It is just an web service input -> Python Script -> output

Answer 2

Poosari, Senthilkumar 1

I am also having this issue. any solution for this. we have exising R code which is using xboost R models as a saved file. we used execute R code task, the experiments executing fine and returning the results as expected, this experiment does not have train model task in the experiment. how to publish this as a webserive?

Appreciate any help in advance.

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Azure Designer: Cannot create inference because there is no model on this pipeline

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