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

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@@ -109,9 +109,10 @@ The workspace is the top-level resource for Azure Machine Learning, providing a
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from mlflow.deployments import get_deploy_client
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```
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1. Configure the deployment client
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1. Configure the MLflow client and the deployment client:
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```python
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mlflow_client = mlflow.MLflowClient()
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deployment_client = get_deploy_client(mlflow.get_tracking_uri())
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```
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