Merge pull request #251289 from msakande/fix-ambiguity-in-deprecation-warning

revising warning about MLproject files deprecation

Author: v-dirichards

articles/machine-learning/concept-mlflow.md

@@ -90,8 +90,6 @@ You can submit training jobs to Azure Machine Learning by using [MLflow projects
 
 Learn more at [Train machine learning models with MLflow projects and Azure Machine Learning](how-to-train-mlflow-projects.md).
 
-[!INCLUDE [machine-learning-mlflow-projects-deprecation](includes/machine-learning-mlflow-projects-deprecation.md)]
-
 ### Example notebooks
 
 * [Track an MLflow project in Azure Machine Learning workspaces](https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/track-and-monitor-experiments/using-mlflow/train-projects-local/train-projects-local.ipynb)

articles/machine-learning/how-to-use-mlflow-azure-synapse.md

@@ -21,8 +21,6 @@ In this article, learn how to enable MLflow to connect to Azure Machine Learning
 
 If you have an MLflow Project to train with Azure Machine Learning, see [Train ML models with MLflow Projects and Azure Machine Learning (preview)](how-to-train-mlflow-projects.md).
 
-[!INCLUDE [machine-learning-mlflow-projects-deprecation](includes/machine-learning-mlflow-projects-deprecation.md)]
-
 ## Prerequisites
 
 * An [Azure Synapse Analytics workspace and cluster](../synapse-analytics/quickstart-create-workspace.md).

articles/machine-learning/includes/machine-learning-mlflow-projects-deprecation.md

@@ -2,11 +2,11 @@
 author: msakande
 ms.service: machine-learning
 ms.topic: include
-ms.date: 07/05/2023
+ms.date: 09/13/2023
 ms.author: mopeakande
 ---
 
 > [!WARNING]
-> Support for MLflow Projects in Azure Machine Learning will end on September 30, 2023. You'll be able to submit MLflow Projects (`MLproject` files) to Azure Machine Learning until that date.
+> Support for MLflow Projects (`MLproject` files) in Azure Machine Learning will be fully retired in September 2026. MLflow is still fully supported, and is still the recommended way to track machine learning workloads in Azure Machine Learning.
 >
-> We recommend that you transition to Azure Machine Learning __Jobs__, using either the Azure CLI or the Azure Machine Learning SDK for Python (v2) before September 2026, when MLflow Projects will be fully retired in Azure Machine Learning. For more information on Azure Machine Learning jobs, see [Track ML experiments and models with MLflow](../how-to-use-mlflow-cli-runs.md).
+> As you continue to use MLflow, we recommend that you transition from `MLproject` files to Azure Machine Learning __Jobs__, using either the Azure CLI or the Azure Machine Learning SDK for Python (v2). For more information on Azure Machine Learning jobs, see [Track ML experiments and models with MLflow](../how-to-use-mlflow-cli-runs.md#configuring-the-experiment).

articles/machine-learning/v1/concept-mlflow.md

@@ -59,8 +59,6 @@ With MLflow Tracking, you can connect Azure Machine Learning as the back end of
 
 You can use MLflow Tracking to submit training jobs with [MLflow Projects](https://www.mlflow.org/docs/latest/projects.html) and Azure Machine Learning back-end support.
 
-[!INCLUDE [machine-learning-mlflow-projects-deprecation](../includes/machine-learning-mlflow-projects-deprecation.md)]
-
 You can submit jobs locally with Azure Machine Learning tracking or migrate your runs to the cloud via [Azure Machine Learning compute](../how-to-create-attach-compute-cluster.md).
 
 Learn more at [Train machine learning models with MLflow projects and Azure Machine Learning](../how-to-train-mlflow-projects.md).