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Merge pull request #233392 from santiagxf/santiagxf/azureml-batch-patch
Update how-to-deploy-model-custom-output.md
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articles/machine-learning/how-to-deploy-model-custom-output.md

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@@ -108,7 +108,7 @@ Follow the next steps to create a deployment using the previous scoring script:
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No extra step is required for the Azure Machine Learning CLI. The environment definition will be included in the deployment file.
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:::code language="yaml" source="~/azureml-examples-main/cli/endpoints/batch/deploy-models/custom-outputs-parquet/deployment.yml" range="8-11":::
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:::code language="yaml" source="~/azureml-examples-main/cli/endpoints/batch/deploy-models/custom-outputs-parquet/deployment.yml" range="6-9":::
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# [Python](#tab/sdk)
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