Update how-to-train-mlflow-projects.md

Author: santiagxf

articles/machine-learning/how-to-train-mlflow-projects.md

@@ -1,5 +1,5 @@
 ---
-title: Train with MLflow Projects
+title: Train with MLflow Projects (Preview)
 titleSuffix: Azure Machine Learning
 description:  Set up MLflow with Azure Machine Learning to log metrics and artifacts from ML models
 services: machine-learning
@@ -12,7 +12,7 @@ ms.topic: conceptual
 ms.custom: how-to, devx-track-python, sdkv1, event-tier1-build-2022
 ---
 
-# Train ML models with MLflow Projects and Azure Machine Learning 
+# Train ML models with MLflow Projects and Azure Machine Learning (Preview)
 
 In this article, learn how to enable MLflow's tracking URI and logging API, collectively known as [MLflow Tracking](https://mlflow.org/docs/latest/quickstart.html#using-the-tracking-api), to submit training jobs with [MLflow Projects](https://www.mlflow.org/docs/latest/projects.html) and Azure Machine Learning backend support. You can submit jobs locally with Azure Machine Learning tracking or migrate your runs to the cloud like via an [Azure Machine Learning Compute](./how-to-create-attach-compute-cluster.md).