Merge branch 'master' of https://github.com/MicrosoftDocs/azure-docs-pr

LuisBosquez · LuisBosquez · commit 6b9cc37036b4 · 2020-02-03T16:59:33.000-08:00
diff --git a/articles/active-directory/saas-apps/promapp-tutorial.md b/articles/active-directory/saas-apps/promapp-tutorial.md
diff --git a/articles/active-directory/saas-apps/toc.yml b/articles/active-directory/saas-apps/toc.yml
@@ -954,6 +954,8 @@
         href: nexonia-tutorial.md
       - name: Nimblex
         href: nimblex-tutorial.md
+      - name: Nintex Promapp
+        href: promapp-tutorial.md
       - name: Nomadesk
         href: nomadesk-tutorial.md
       - name: Nomadic
@@ -1084,8 +1086,6 @@
         href: productboard-tutorial.md
       - name: Projectplace
         href: projectplace-tutorial.md
-      - name: Promapp
-        href: promapp-tutorial.md
       - name: ProMaster (by Inlogik)
         href: promaster-tutorial.md
       - name: ProNovos Ops Manager
diff --git a/articles/machine-learning/concept-azure-machine-learning-architecture.md b/articles/machine-learning/concept-azure-machine-learning-architecture.md
@@ -82,7 +82,7 @@ Activities can provide notifications through the SDK or the web UI so that you c
 ### <a name="compute-instance"></a>Compute instance (preview)
 
 > [!NOTE]
-> Compute instances are available only for workspaces with a **North Central US**, ** East US 2**, **North Europe** or **UK South**.
+> Compute instances are available only for workspaces with a **North Central US**, **East US 2**, **North Europe** or **UK South**.
 >If your workspace is in any other region, you can continue to create and use a [Notebook VM](concept-compute-instance.md#notebookvm) instead. 
 
 An **Azure Machine Learning compute instance** (formerly Notebook VM) is a fully managed cloud-based workstation that includes multiple tools and environments installed for machine learning. Compute instances can be used as a compute target for training and inferencing jobs. For large tasks, [Azure Machine Learning compute clusters](how-to-set-up-training-targets.md#amlcompute) with multi-node scaling capabilities is a better compute target choice.
diff --git a/articles/machine-learning/concept-compute-instance.md b/articles/machine-learning/concept-compute-instance.md
@@ -23,7 +23,7 @@ Use a compute instance as your fully configured and managed development environm
 Compute instances are typically used as development environments.  They can also be used as a compute target for training and inferencing for development and testing.  For large tasks, an [Azure Machine Learning compute cluster](how-to-set-up-training-targets.md#amlcompute) with multi-node scaling capabilities is a better compute target choice.
 
 > [!NOTE]
-> Compute instances are currently available only for workspaces with a region of **North Central US** or **UK South**, with support for other regions coming soon.
+> Compute instances are currently available only for workspaces with a region of **North Central US**, **East US 2**, **North Europe** or **UK South**, with support for other regions coming soon.
 >If your workspace is in any other region, you can continue to create and use a [Notebook VM](concept-compute-instance.md#notebookvm) instead. 
 
 ## Why use a compute instance?
diff --git a/articles/machine-learning/concept-compute-target.md b/articles/machine-learning/concept-compute-target.md
@@ -54,7 +54,7 @@ You can create Azure Machine Learning compute instances (preview) or compute clu
 When created these compute resources are automatically part of your workspace unlike other kinds of compute targets.
 
 > [!NOTE]
-> Compute instances are available only for workspaces with a **North Central US**, ** East US 2**, **North Europe** or **UK South**.
+> Compute instances are available only for workspaces with a **North Central US**, **East US 2**, **North Europe** or **UK South**.
 >If your workspace is in any other region, you can continue to create and use a [Notebook VM](concept-compute-instance.md#notebookvm) instead. 
 
 ### Compute clusters
diff --git a/articles/machine-learning/concept-workspace.md b/articles/machine-learning/concept-workspace.md
@@ -76,7 +76,7 @@ You can also perform the following workspace management tasks:
 | Create a Notebook VM |   | **&check;** | |     |
 
 > [!NOTE]
-> Compute instances are available only for workspaces with a **North Central US**, ** East US 2**, **North Europe** or **UK South**.
+> Compute instances are available only for workspaces with a **North Central US**, **East US 2**, **North Europe** or **UK South**.
 >If your workspace is in any other region, you can continue to create and use a [Notebook VM](concept-compute-instance.md#notebookvm) instead.
 
 ## <a name='create-workspace'></a> Create a workspace
diff --git a/articles/machine-learning/data-science-virtual-machine/dsvm-tools-deep-learning-frameworks.md b/articles/machine-learning/data-science-virtual-machine/dsvm-tools-deep-learning-frameworks.md
@@ -111,7 +111,7 @@ Deep learning frameworks on the DSVM are listed below.
 
 |    |           |
 | ------------- | ------------- |
-| Version(s) supported | 1.2.0 |
+| Version(s) supported | 1.2.0 (Ubuntu 16.04, Windows 2016, Windows 2019), 1.4.0 (Ubuntu 18.04) |
 | Supported DSVM editions      | Linux |
 | How is it configured / installed on the DSVM?  | Installed in [Python 3.5](dsvm-tools-languages.md#python-linux-edition). Sample Jupyter notebooks are included, and samples are in /dsvm/samples/pytorch. |
 | How to run it      | Terminal: Activate the correct environment, and then run Python.<br/>* [JupyterHub](dsvm-ubuntu-intro.md#how-to-access-the-ubuntu-data-science-virtual-machine): Connect, and then open the PyTorch directory for samples.  |
diff --git a/articles/machine-learning/data-science-virtual-machine/tools-included.md b/articles/machine-learning/data-science-virtual-machine/tools-included.md
@@ -124,7 +124,7 @@ The Data Science Virtual Machine comes with the most useful data-science tools p
 | [MXNet](https://mxnet.apache.org/)                                                                                                           |                                                                               <span class='green-check'>&#9989;</span>                                                                               |                                                       <span class='green-check'>&#9989;</span></br> (1.3.0)                                                      |                                                                               <span class='red-x'>&#10060;</span>                                                                                    |                                                       <span class='red-x'>&#10060;</span>                                                                        |                               [MXNet on the DSVM](./dsvm-tools-deep-learning-frameworks.md#mxnet)                              |
 | [MXNet Model Server](https://github.com/awslabs/mxnet-model-server#quick-start)                                                              |                                                                               <span class='green-check'>&#9989;</span>                                                                               |                                                       <span class='green-check'>&#9989;</span></br> (1.0.1)                                                      |                                                                               <span class='red-x'>&#10060;</span>                                                                                    |                                                       <span class='red-x'>&#10060;</span>                                                                        |                  [MXNet Model Server on the DSVM](./dsvm-tools-deep-learning-frameworks.md#mxnet-model-server)                 |
 | [NVidia System Management Interface  (nvidia-smi)](https://developer.nvidia.com/nvidia-system-management-interface)                          |                                                                               <span class='green-check'>&#9989;</span>                                                                               |                                                           <span class='green-check'>&#9989;</span></br>                                                          |                                                                               <span class='green-check'>&#9989;</span>                                                                               |                                                           <span class='green-check'>&#9989;</span>                                                                    |        [nvidia-smi on the DSVM](./dsvm-tools-deep-learning-frameworks.md#nvidia-system-management-interface-nvidia-smi)        |
-| [PyTorch](https://pytorch.org)                                                                                                               |                                                                                  <span class='red-x'>&#10060;</span>                                                                                 |                                                       <span class='green-check'>&#9989;</span></br> (1.2.0)                                                      |                                                                                  <span class='green-check'>&#9989;</span>                                                                                 |                                                       <span class='green-check'>&#9989;</span></br>                                                       |                             [PyTorch on the DSVM](./dsvm-tools-deep-learning-frameworks.md#pytorch)                            |
+| [PyTorch](https://pytorch.org)                                                                                                               |                                                                                  <span class='red-x'>&#10060;</span>                                                                                 |                                                       <span class='green-check'>&#9989;</span></br> (1.2.0)                                                      |                                                                                  <span class='green-check'>&#9989;</span> (1.2.0)                                                                                |                                                       <span class='green-check'>&#9989;</span></br>  (1.4.0)                                                     |                             [PyTorch on the DSVM](./dsvm-tools-deep-learning-frameworks.md#pytorch)                            |
 | [TensorFlow](https://www.tensorflow.org)                                                                                                     |                                                                         <span class='green-check'>&#9989;</span></br> (1.13)                                                                         |                                                       <span class='green-check'>&#9989;</span></br> (1.13)                                                       |                                                                         <span class='green-check'>&#9989;</span></br>                                                                          |                                                       <span class='green-check'>&#9989;</span></br>                                                        |                          [TensorFlow on the DSVM](./dsvm-tools-deep-learning-frameworks.md#tensorflow)                         |
 | [TensorFlow Serving](https://www.tensorflow.org/tfx/guide/serving)                                                                           |                                                                                  <span class='red-x'>&#10060;</span>                                                                                 |                                                      <span class='green-check'>&#9989;</span></br> (1.12.0)                                                      |                                                                                  <span class='red-x'>&#10060;</span>                                                                                 |                                                      <span class='red-x'>&#10060;</span>                                                                         |                  [TensorFlow Serving on the DSVM](./dsvm-tools-deep-learning-frameworks.md#tensorflow-serving)                 |
 | [Theano](https://github.com/Theano/Theano)                                                                                                   |                                                                                  <span class='red-x'>&#10060;</span>                                                                                 |                                                       <span class='green-check'>&#9989;</span></br> (1.0.3)                                                      |                                                                                  <span class='red-x'>&#10060;</span>                                                                                 |                                                       <span class='red-x'>&#10060;</span>                                                                        |                              [Theano on the DSVM](./dsvm-tools-deep-learning-frameworks.md#theano)                             |
diff --git a/articles/machine-learning/how-to-configure-environment.md b/articles/machine-learning/how-to-configure-environment.md
@@ -54,7 +54,7 @@ To install the SDK environment for your [local computer](#local), [Jupyter Noteb
 The Azure Machine Learning [compute instance (preview)](concept-compute-instance.md) is a secure, cloud-based Azure workstation that provides data scientists with a Jupyter notebook server, JupyterLab, and a fully prepared ML environment.
 
 > [!NOTE]
-> Compute instances are available only for workspaces with a **North Central US**, ** East US 2**, **North Europe** or **UK South**.
+> Compute instances are available only for workspaces with a **North Central US**, **East US 2**, **North Europe** or **UK South**.
 >If your workspace is in any other region, you can continue to create and use a [Notebook VM](concept-compute-instance.md#notebookvm) instead.
 
 There is nothing to install or configure for a compute instance.  Create one anytime from within your Azure Machine Learning workspace. Provide just a name and specify an Azure VM type. Try it now with this [Tutorial: Setup environment and workspace](tutorial-1st-experiment-sdk-setup.md).
diff --git a/articles/machine-learning/how-to-create-your-first-pipeline.md b/articles/machine-learning/how-to-create-your-first-pipeline.md
@@ -36,7 +36,7 @@ If you don’t have an Azure subscription, create a free account before you begi
 * [Configure your development environment](how-to-configure-environment.md) to install the Azure Machine Learning SDK, or use an [Azure Machine Learning compute instance (preview)](concept-compute-instance.md) with the SDK already installed.
 
 > [!NOTE]
-> Compute instances are available only for workspaces with a **North Central US**, ** East US 2**, **North Europe** or **UK South**.
+> Compute instances are available only for workspaces with a **North Central US**, **East US 2**, **North Europe** or **UK South**.
 >If your workspace is in any other region, you can continue to create and use a [Notebook VM](concept-compute-instance.md#notebookvm) instead. 
 
 Start by attaching your workspace:
diff --git a/articles/machine-learning/how-to-set-up-vs-code-remote.md b/articles/machine-learning/how-to-set-up-vs-code-remote.md
@@ -17,7 +17,7 @@ ms.date: 12/09/2019
 In this article, you'll learn how to set up Visual Studio Code Remote on an Azure Machine Learning Compute Instance so you can **interactively debug your code** from VS Code. 
 
 > [!NOTE]
-> Compute instances are available only for workspaces with a **North Central US**, ** East US 2**, **North Europe** or **UK South**.
+> Compute instances are available only for workspaces with a **North Central US**, **East US 2**, **North Europe** or **UK South**.
 
 + An [Azure Machine Learning Compute Instance](concept-compute-instance.md) is a fully managed cloud-based workstation for data scientists and provides management and enterprise readiness capabilities for IT administrators. 
 
diff --git a/articles/machine-learning/tutorial-1st-experiment-sdk-setup.md b/articles/machine-learning/tutorial-1st-experiment-sdk-setup.md
@@ -96,7 +96,7 @@ You complete the following experiment set-up and run steps in Azure Machine Lear
 If you have custom widgets or prefer using Jupyter/JupyterLab select the **Jupyter** drop down on the far right, then select **Jupyter** or **JupyterLab**. The new browser window will be opened.
 
 > [!NOTE]
-> Compute instances (preview) are currently available only for workspaces with a region of **North Central US** or **UK South**, with support for other regions coming soon.
+> Compute instances (preview) are currently available only for workspaces with a region of **North Central US**, **East US 2**, **North Europe** or **UK South**, with support for other regions coming soon.
 >If your workspace is in any other region, you can continue to create and use a [Notebook VM](concept-compute-instance.md#notebookvm) instead.  You can use either a Notebook VM or a compute instance to run your notebook. A VM will continue running and incurring cost unless you stop it. You can stop it manually from the **Compute** tab in the Studio, or see the [blog post](https://techcommunity.microsoft.com/t5/educator-developer-blog/azure-virtual-machine-auto-shutdown/ba-p/379342) on enabling scheduled automatic shutdown for Azure VMs.
 
 ## Next steps
