aws / aws/sagemaker-python-sdk

Allow sagemaker.clarify.ModelConfig to use application/x-parquet for content_type & accept_type

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component: clarify contributions welcome Good First Issue type: feature request
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Beschreibung

**Describe the feature you'd like**
Allow `sagemaker.clarify.ModelConfig` object to accept `application/x-parquet` as a valid parameter for `content_type` & `accept_type`.

**How would this feature be used? Please describe.**
This would align with the `sagemaker.clarify.DataConfig` object which currently allows parquet for the `dataset_type`. By implementing this feature, Bring-your-own-container inference models that only accept parquet data types will be able to more easily utilize clarify's bias and data quality features.

**Describe alternatives you've considered**
Currently, majority of our data is in parquet format. Conversion to csv is trivial, though for larger datasets becomes cumbersome.

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