How can I use built-in components from Azure ML Studio in the Python SDK?

Question

I am trying to do something like this. I am trying to use the Python SDK to retrieve a built-in component from the Azure ML Studio Pipeline Designer so that I can use it to build pipelines in code, I don't think it works like this though because it can never find the component and when I iterate over the components the list is empty.

Is it possible to do this and if so, how?

select_columns_component = ml_client.components.get(
    name="select_columns_in_dataset",
    version="1"
)

Answer 1

Hi there Ben van der Weg

Thanks for using QandA palform

seems built-in components from Azure ML Studio's Pipeline Designer aren’t directly accessible through the Python SDK using methods like ml_client.components.get. While some common components are available via the SDK, many of the components in Studio are intended for UI-based workflows. If you’re unable to find a component, consider using the SDK to define custom pipeline steps or scripts that replicate the behavior of these components. Alternatively, you can check the Azure ML documentation to see if the specific component, like select_columns_in_dataset, is available for use in the SDK or create a custom Python script for the same functionality.

If this helps kindly accept the answer thanks much.