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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#### Document Details

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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**

從連結的 PipelineParameter API 頁面和 AzureML-Docset/stable/docs-ref-autogen/azureml-pipeline-core/azureml.pipeline.core.PipelineParameter.yml 開始。追蹤文件中所述參數預期如何與 OutputFileDatasetConfig 和 ParallelRunStep 關聯。完成的標準是確定所要求的輸入參數化是否受支援，並記錄或界定所需的變更。

由索引模型根據 Issue 內容生成。