Merge pull request #260738 from Blackmist/183741-include-cleanup

denrea · web-flow · commit 1cdb5d178292 · 2023-12-08T11:22:01.000-08:00
[SCOPED] 183741 include cleanup
diff --git a/articles/machine-learning/includes/machine-learning-low-pri-vm.md b/articles/machine-learning/includes/machine-learning-low-pri-vm.md
diff --git a/articles/machine-learning/includes/machine-learning-missing-ui.md b/articles/machine-learning/includes/machine-learning-missing-ui.md
diff --git a/articles/machine-learning/includes/machine-learning-py38-ignore.md b/articles/machine-learning/includes/machine-learning-py38-ignore.md
diff --git a/articles/machine-learning/v1/how-to-designer-import-data.md b/articles/machine-learning/v1/how-to-designer-import-data.md
@@ -20,7 +20,8 @@ In this article, you learn how to import your own data in the designer to create
 * **Azure Machine Learning datasets** - Register [datasets](concept-data.md) in Azure Machine Learning to enable advanced features that help you manage your data.
 * **Import Data component** - Use the [Import Data](../algorithm-module-reference/import-data.md) component to directly access data from online data sources.
 
-[!INCLUDE [machine-learning-missing-ui](../includes/machine-learning-missing-ui.md)]
+> [!IMPORTANT]
+> If you do not see graphical elements mentioned in this document, such as buttons in studio or designer, you may not have the right level of permissions to the workspace. Please contact your Azure subscription administrator to verify that you have been granted the correct level of access. For more information, see [Manage users and roles](../how-to-assign-roles.md).
 
 ## Use Azure Machine Learning datasets
 
diff --git a/articles/machine-learning/v1/how-to-designer-python.md b/articles/machine-learning/v1/how-to-designer-python.md
@@ -23,7 +23,8 @@ The default execution environment uses the Anacondas distribution of Python. See
 
 ![Execute Python input map](media/how-to-designer-python/execute-python-map.png)
 
-[!INCLUDE [machine-learning-missing-ui](../includes/machine-learning-missing-ui.md)]
+> [!IMPORTANT]
+> If you do not see graphical elements mentioned in this document, such as buttons in studio or designer, you may not have the right level of permissions to the workspace. Please contact your Azure subscription administrator to verify that you have been granted the correct level of access. For more information, see [Manage users and roles](../how-to-assign-roles.md).
 
 ## Execute Python written in the designer
 
diff --git a/articles/machine-learning/v1/how-to-designer-transform-data.md b/articles/machine-learning/v1/how-to-designer-transform-data.md
@@ -27,7 +27,8 @@ In this article, you'll learn how to:
 
 This how-to is a prerequisite for the [how to retrain designer models](how-to-retrain-designer.md) article. In that article, you'll learn how to use the transformed datasets to train multiple models, with pipeline parameters.
 
-[!INCLUDE [machine-learning-missing-ui](../includes/machine-learning-missing-ui.md)]
+> [!IMPORTANT]
+> If you do not see graphical elements mentioned in this document, such as buttons in studio or designer, you may not have the right level of permissions to the workspace. Please contact your Azure subscription administrator to verify that you have been granted the correct level of access. For more information, see [Manage users and roles](../how-to-assign-roles.md).
 
 ## Transform a dataset
 
diff --git a/articles/machine-learning/v1/how-to-monitor-tensorboard.md b/articles/machine-learning/v1/how-to-monitor-tensorboard.md
@@ -141,8 +141,6 @@ compute_target.wait_for_completion(show_output=True, min_node_count=None)
 # print(compute_target.get_status().serialize())
 ```
 
-[!INCLUDE [low-pri-note](../includes/machine-learning-low-pri-vm.md)]
-
 ### Configure and submit training job
 
 Configure a training job by creating a ScriptRunConfig object.
diff --git a/articles/machine-learning/v1/how-to-retrain-designer.md b/articles/machine-learning/v1/how-to-retrain-designer.md
@@ -31,7 +31,8 @@ In this article, you learn how to:
 * An Azure Machine Learning workspace
 * Complete part 1 of this how-to series, [Transform data in the designer](how-to-designer-transform-data.md)
 
-[!INCLUDE [machine-learning-missing-ui](../includes/machine-learning-missing-ui.md)]
+> [!IMPORTANT]
+> If you do not see graphical elements mentioned in this document, such as buttons in studio or designer, you may not have the right level of permissions to the workspace. Please contact your Azure subscription administrator to verify that you have been granted the correct level of access. For more information, see [Manage users and roles](../how-to-assign-roles.md).
 
 This article also assumes that you have some knowledge of building pipelines in the designer. For a guided introduction, complete the [tutorial](tutorial-designer-automobile-price-train-score.md). 
 
diff --git a/articles/machine-learning/v1/how-to-run-batch-predictions-designer.md b/articles/machine-learning/v1/how-to-run-batch-predictions-designer.md
@@ -30,7 +30,8 @@ To learn how to set up batch scoring services using the SDK, see the accompanyin
 
 This how-to assumes you already have a training pipeline. For a guided introduction to the designer, complete [part one of the designer tutorial](tutorial-designer-automobile-price-train-score.md).
 
-[!INCLUDE [machine-learning-missing-ui](../includes/machine-learning-missing-ui.md)]
+> [!IMPORTANT]
+> If you do not see graphical elements mentioned in this document, such as buttons in studio or designer, you may not have the right level of permissions to the workspace. Please contact your Azure subscription administrator to verify that you have been granted the correct level of access. For more information, see [Manage users and roles](../how-to-assign-roles.md).
 
 ## Create a batch inference pipeline
 
diff --git a/articles/machine-learning/v1/how-to-secure-training-vnet.md b/articles/machine-learning/v1/how-to-secure-training-vnet.md
@@ -278,8 +278,6 @@ except ComputeTargetException:
 
 When the creation process finishes, you train your model. For more information, see [Select and use a compute target for training](how-to-set-up-training-targets.md).
 
-[!INCLUDE [low-pri-note](../includes/machine-learning-low-pri-vm.md)]
-
 ## Azure Databricks
 
 * The virtual network must be in the same subscription and region as the Azure Machine Learning workspace.
diff --git a/articles/machine-learning/v1/how-to-train-keras.md b/articles/machine-learning/v1/how-to-train-keras.md
@@ -123,8 +123,6 @@ except ComputeTargetException:
     compute_target.wait_for_completion(show_output=True, min_node_count=None, timeout_in_minutes=20)
 ```
 
-[!INCLUDE [low-pri-note](../includes/machine-learning-low-pri-vm.md)]
-
 For more information on compute targets, see the [what is a compute target](../concept-compute-target.md) article.
 
 ### Define your environment
diff --git a/articles/machine-learning/v1/how-to-train-pytorch.md b/articles/machine-learning/v1/how-to-train-pytorch.md
@@ -117,8 +117,6 @@ except ComputeTargetException:
 
 If you instead want to create a CPU cluster, provide a different VM size to the vm_size parameter, such as STANDARD_D2_V2.
 
-[!INCLUDE [low-pri-note](../includes/machine-learning-low-pri-vm.md)]
-
 For more information on compute targets, see the [what is a compute target](../concept-compute-target.md) article.
 
 ### Define your environment
diff --git a/articles/machine-learning/v1/how-to-train-tensorflow.md b/articles/machine-learning/v1/how-to-train-tensorflow.md
@@ -123,8 +123,6 @@ except ComputeTargetException:
     compute_target.wait_for_completion(show_output=True, min_node_count=None, timeout_in_minutes=20)
 ```
 
-[!INCLUDE [low-pri-note](../includes/machine-learning-low-pri-vm.md)]
-
 For more information on compute targets, see the [what is a compute target](../concept-compute-target.md) article.
 
 ### Define your environment
diff --git a/articles/machine-learning/v1/how-to-use-automlstep-in-pipelines.md b/articles/machine-learning/v1/how-to-use-automlstep-in-pipelines.md
@@ -94,8 +94,6 @@ if not compute_name in ws.compute_targets :
 compute_target = ws.compute_targets[compute_name]
 ```
 
-[!INCLUDE [low-pri-note](../includes/machine-learning-low-pri-vm.md)]
-
 The intermediate data between the data preparation and the automated ML step can be stored in the workspace's default datastore, so we don't need to do more than call `get_default_datastore()` on the `Workspace` object. 
 
 After that, the code checks if the Azure Machine Learning compute target `'cpu-cluster'` already exists. If not, we specify that we want a small CPU-based compute target. If you plan to use automated ML's deep learning features (for instance, text featurization with DNN support) you should choose a compute with strong GPU support, as described in [GPU optimized virtual machine sizes](../../virtual-machines/sizes-gpu.md). 
diff --git a/articles/machine-learning/v1/how-to-use-pipeline-parameter.md b/articles/machine-learning/v1/how-to-use-pipeline-parameter.md
@@ -32,7 +32,8 @@ In this article, you learn how to do the following:
 
 * For a guided introduction to the designer, complete the [designer tutorial](tutorial-designer-automobile-price-train-score.md). 
 
-[!INCLUDE [machine-learning-missing-ui](../includes/machine-learning-missing-ui.md)]
+> [!IMPORTANT]
+> If you do not see graphical elements mentioned in this document, such as buttons in studio or designer, you may not have the right level of permissions to the workspace. Please contact your Azure subscription administrator to verify that you have been granted the correct level of access. For more information, see [Manage users and roles](../how-to-assign-roles.md).
 
 ## Create pipeline parameter
 
diff --git a/articles/machine-learning/v1/samples-designer.md b/articles/machine-learning/v1/samples-designer.md
@@ -22,7 +22,8 @@ Use the built-in examples in Azure Machine Learning designer to quickly get star
 * An Azure subscription. If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/free/)
 * An Azure Machine Learning workspace
 
-[!INCLUDE [machine-learning-missing-ui](../includes/machine-learning-missing-ui.md)]
+> [!IMPORTANT]
+> If you do not see graphical elements mentioned in this document, such as buttons in studio or designer, you may not have the right level of permissions to the workspace. Please contact your Azure subscription administrator to verify that you have been granted the correct level of access. For more information, see [Manage users and roles](../how-to-assign-roles.md).
 
 ## Use sample pipelines
 
diff --git a/articles/machine-learning/v1/tutorial-1st-experiment-bring-data.md b/articles/machine-learning/v1/tutorial-1st-experiment-bring-data.md
@@ -274,7 +274,8 @@ Select **Save and run script in terminal**  to run the *run-pytorch-data.py* scr
 
 This code will print a URL to the experiment in the Azure Machine Learning studio. If you go to that link, you'll be able to see your code running.
 
-[!INCLUDE [amlinclude-info](../includes/machine-learning-py38-ignore.md)]
+> [!NOTE]
+> You may see some warnings starting with *Failure while loading azureml_run_type_providers...*. You can ignore these warnings. Use the link at the bottom of these warnings to view your output.
 
 
 ### Inspect the log file
diff --git a/articles/machine-learning/v1/tutorial-1st-experiment-hello-world.md b/articles/machine-learning/v1/tutorial-1st-experiment-hello-world.md
@@ -154,7 +154,8 @@ Here's a description of how the control script works:
 
 1. Once you're authenticated, you'll see a link in the terminal. Select the link to view the job.
 
-    [!INCLUDE [amlinclude-info](../includes/machine-learning-py38-ignore.md)]
+   > [!NOTE]
+   > You may see some warnings starting with *Failure while loading azureml_run_type_providers...*. You can ignore these warnings. Use the link at the bottom of these warnings to view your output.
 
 ## View the output
 
diff --git a/articles/machine-learning/v1/tutorial-1st-experiment-sdk-train.md b/articles/machine-learning/v1/tutorial-1st-experiment-sdk-train.md
@@ -228,7 +228,8 @@ if __name__ == "__main__":
 
 1. You'll see a link in the terminal window that opens. Select the link to view the job.
 
-    [!INCLUDE [amlinclude-info](../includes/machine-learning-py38-ignore.md)]
+    > [!NOTE]
+    > You may see some warnings starting with *Failure while loading azureml_run_type_providers...*. You can ignore these warnings. Use the link at the bottom of these warnings to view your output.
 
 ### View the output
 
diff --git a/articles/machine-learning/v1/tutorial-designer-automobile-price-deploy.md b/articles/machine-learning/v1/tutorial-designer-automobile-price-deploy.md
@@ -40,7 +40,8 @@ In [part one of the tutorial](tutorial-designer-automobile-price-train-score.md)
 
 Complete [part one of the tutorial](tutorial-designer-automobile-price-train-score.md) to learn how to train and score a machine learning model in the designer.
 
-[!INCLUDE [machine-learning-missing-ui](../includes/machine-learning-missing-ui.md)]
+> [!IMPORTANT]
+> If you do not see graphical elements mentioned in this document, such as buttons in studio or designer, you may not have the right level of permissions to the workspace. Please contact your Azure subscription administrator to verify that you have been granted the correct level of access. For more information, see [Manage users and roles](../how-to-assign-roles.md).
 
 ## Create a real-time inference pipeline
 
diff --git a/articles/machine-learning/v1/tutorial-designer-automobile-price-train-score.md b/articles/machine-learning/v1/tutorial-designer-automobile-price-train-score.md
@@ -46,7 +46,8 @@ In [part two](tutorial-designer-automobile-price-deploy.md) of the tutorial, you
 >
 >To find it, go to the designer in your workspace. In the **New pipeline** section, select **Sample 1 - Regression: Automobile Price Prediction(Basic)**.
 
-[!INCLUDE [machine-learning-missing-ui](../includes/machine-learning-missing-ui.md)]
+> [!IMPORTANT]
+> If you do not see graphical elements mentioned in this document, such as buttons in studio or designer, you may not have the right level of permissions to the workspace. Please contact your Azure subscription administrator to verify that you have been granted the correct level of access. For more information, see [Manage users and roles](../how-to-assign-roles.md).
 
 ## Create a new pipeline
 
