Azure Machine Learning
An Azure machine learning service for building and deploying models.
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I have a script that has multiple steps to preprocess, train, register model, and publish an AML pipeline.
Here is the code for AML pipeline:
step_sequence = StepSequence(steps=[step1, step2,step3])
pipeline = Pipeline(workspace=ws, steps=step_sequence)
pipeline.validate()
# Submit a pipeline
pipeline.submit(experiment_name=e.experiment_name_train)
print("Pipeline submitted for execution.")
# Publish a pipeline
published_pipeline = pipeline.publish(
name='SomeName',
description="some Desc",
version=e.build_id
)
#Publish the pipeline to its versioned endpoint URI
publish_pipeline_to_endpoint(ws, published_pipeline)
In CI pipeline, we want publish the AML pipeline as an artifact so that it can be used in CD pipeline and deploy the same AML pipeline in test and prod.
Not just a model, we want to deploy whole AML pipeline.
Is there a way to do this?
Hi, thanks for reaching out. Please review the following resources: