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Update how-to-deploy-mlflow-models-online-endpoints.md
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articles/machine-learning/how-to-deploy-mlflow-models-online-endpoints.md

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@@ -561,7 +561,7 @@ Use the following steps to deploy an MLflow model with a custom scoring script.
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:::image type="content" source="media/how-to-deploy-mlflow-models-online-endpoints/mlflow-model-folder-name.png" lightbox="media/how-to-deploy-mlflow-models-online-endpoints/mlflow-model-folder-name.png" alt-text="Screenshot showing the folder where the model artifacts are placed":::
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1. Create a scoring script:
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1. Create a scoring script. Notice how the folder name `model` you identified before has been included in the `init()` function.
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__score.py__
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