What is the PipelineParameter equivalent in Azure ML python sdk v2?

Question

In python sdk v1, PipelineParameter is used to pass arguments when you spin off a pipeline job.

What is the equivalent of it in python sdk v2?

TIA

Answer 1

@Das Gupta, Abhijeet Thanks for reaching out to us, Pipeline's augments on invocation which used to be pipeline parameter in SDK v1 now to be Job Inputs in SDK v2.

In v2, "experiments", "runs", and "pipelines" are consolidated into jobs. A job has a type. Most jobs are command jobs that run a command, like python main.py. What runs in a job is agnostic to any programming language, so you can run bash scripts, invoke python interpreters, run a bunch of curl commands, or anything else. Another common type of job is pipeline, which defines child jobs that may have input/output relationships, forming a directed acyclic graph (DAG).

More information and examples please see here -

https://learn.microsoft.com/en-us/azure/machine-learning/migrate-to-v2-deploy-pipelines?view=azureml-api-2&tabs=v1

I hope this helps.

Regards,

Yutong

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