Parameterize OutputFileDatasetConfig

Hi,

I am creating a batch inferencing pipeline. The ParallelRunStep follows a data preprocessing step, which provides the files to be scored as a OutputFileDatasetConfig object. The destination of the dataset is parameterized by a PipelineParameter.

Is there a way to also parameterize the input of the ParallelRunStep so that the dataset only points to the files provided by the data preprocessing step.

Thanks in advance,
Felix

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* ID: f44644d4-e8d2-1a82-1858-95abb5e4294c
* Version Independent ID: 2b538246-2460-1536-4e6c-ac77a25c67d6
* Content: [azureml.pipeline.core.PipelineParameter class - Azure Machine Learning Python](https://docs.microsoft.com/en-us/python/api/azureml-pipeline-core/azureml.pipeline.core.pipelineparameter?view=azure-ml-py)
* Content Source: [AzureML-Docset/stable/docs-ref-autogen/azureml-pipeline-core/azureml.pipeline.core.PipelineParameter.yml](https://github.com/MicrosoftDocs/MachineLearning-Python-pr/blob/live/AzureML-Docset/stable/docs-ref-autogen/azureml-pipeline-core/azureml.pipeline.core.PipelineParameter.yml)
* Service: **machine-learning**
* Sub-service: **core**
* GitHub Login: @DebFro
* Microsoft Alias: **debfro**

Comece pela página da API PipelineParameter vinculada e por AzureML-Docset/stable/docs-ref-autogen/azureml-pipeline-core/azureml.pipeline.core.PipelineParameter.yml. Rastreie como o parâmetro documentado deve se relacionar com OutputFileDatasetConfig e ParallelRunStep. O trabalho estará concluído quando for estabelecido se a parametrização de entrada solicitada é compatível e a alteração necessária tiver sido documentada ou delimitada.

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