Merge pull request #232459 from Blackmist/sdk-install-updates

updating SDK v2 install

Author: prmerger-automator[bot]

articles/machine-learning/how-to-auto-train-image-models.md

@@ -53,7 +53,7 @@ Automated ML supports model training for computer vision tasks like image classi
        ```
        * Install the Azure Machine Learning Python SDK v2:
        ```python
-       pip install azure-ai-ml
+       pip install azure-ai-ml azure-identity
        ```
 
 ---
@@ -526,11 +526,11 @@ training_parameters:
 
 ## Data augmentation 
 
-In general, deep learning model performance can often improve with more data. Data augmentation is a practical technique to amplify the data size and variability of a dataset which helps to prevent overfitting and improve the model’s generalization ability on unseen data. Automated ML applies different data augmentation techniques based on the computer vision task, before feeding input images to the model. Currently, there's no exposed hyperparameter to control data augmentations. 
+In general, deep learning model performance can often improve with more data. Data augmentation is a practical technique to amplify the data size and variability of a dataset which helps to prevent overfitting and improve the model's generalization ability on unseen data. Automated ML applies different data augmentation techniques based on the computer vision task, before feeding input images to the model. Currently, there's no exposed hyperparameter to control data augmentations. 
 
 |Task | Impacted dataset | Data augmentation technique(s) applied |
 |-------|----------|---------|
-|Image classification (multi-class and multi-label) | Training <br><br><br> Validation & Test| Random resize and crop, horizontal flip, color jitter (brightness, contrast, saturation, and hue), normalization using channel-wise ImageNet’s mean and standard deviation <br><br><br>Resize, center crop, normalization |
+|Image classification (multi-class and multi-label) | Training <br><br><br> Validation & Test| Random resize and crop, horizontal flip, color jitter (brightness, contrast, saturation, and hue), normalization using channel-wise ImageNet's mean and standard deviation <br><br><br>Resize, center crop, normalization |
 |Object detection, instance segmentation| Training <br><br> Validation & Test |Random crop around bounding boxes, expand, horizontal flip, normalization, resize <br><br><br>Normalization, resize
 |Object detection using yolov5| Training <br><br> Validation & Test  |Mosaic, random affine (rotation, translation, scale, shear), horizontal flip <br><br><br> Letterbox resizing|
 

articles/machine-learning/how-to-configure-auto-train.md

@@ -42,7 +42,7 @@ For this article you need:
        ```
        * Install the Azure Machine Learning Python SDK v2:
        ```Python
-       pip install azure-ai-ml
+       pip install azure-ai-ml azure-identity
        ```
 
     [!INCLUDE [automl-sdk-version](../../includes/machine-learning-automl-sdk-version.md)]

articles/machine-learning/how-to-configure-environment.md

@@ -205,7 +205,7 @@ To use the Data Science VM as a development environment:
 
     ```bash
     conda activate py310
-    pip install azure-ai-ml
+    pip install azure-ai-ml azure-identity
     ``` 
 
 1. To configure the Data Science VM to use your Azure Machine Learning workspace, [create a workspace configuration file](#local-and-dsvm-only-create-a-workspace-configuration-file) or use an existing one.

articles/machine-learning/how-to-deploy-automl-endpoint.md

@@ -168,7 +168,7 @@ After you create a deployment, you can score it as described in [Invoke the endp
 If you haven't installed Python SDK v2 yet, please install with this command:
 
 ```azurecli
-pip install azure-ai-ml
+pip install azure-ai-ml azure-identity
 ```
 
 For more information, see [Install the Azure Machine Learning SDK v2 for Python](/python/api/overview/azure/ai-ml-readme).

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

@@ -48,7 +48,7 @@ Additionally, you will need to:
 - Install the Azure Machine Learning SDK for Python
 
     ```bash
-    pip install azure-ai-ml
+    pip install azure-ai-ml azure-identity
     ```
 
 # [Python (MLflow SDK)](#tab/mlflow)

articles/machine-learning/how-to-manage-models.md

@@ -40,7 +40,7 @@ Additionally, you will need to:
 - Install the Azure Machine Learning SDK for Python
 
     ```bash
-    pip install azure-ai-ml
+    pip install azure-ai-ml azure-identity
     ```
 ---
 

articles/machine-learning/tutorial-auto-train-image-models.md

@@ -40,7 +40,7 @@ You'll write code using the Python SDK in this tutorial and learn the following
 
 ## Prerequisites
 
-* If you don’t have an Azure subscription, create a free account before you begin. Try the [free or paid version](https://azure.microsoft.com/free/) of Azure Machine Learning today.
+* If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version](https://azure.microsoft.com/free/) of Azure Machine Learning today.
 
 * Python 3.6 or 3.7 are supported for this feature
 
@@ -70,7 +70,7 @@ This tutorial is also available in the [azureml-examples repository on GitHub](h
    ```
    * Install the Azure Machine Learning Python SDK v2:
    ```python
-   pip install azure-ai-ml
+   pip install azure-ai-ml azure-identity
    ```
 
     > [!NOTE]

includes/machine-learning-cli-sdk-v2-prereqs.md

@@ -22,7 +22,7 @@ Before following the steps in this article, make sure you have the following pre
     * To install the Python SDK v2, use the following command:
 
         ```bash
-        pip install azure-ai-ml
+        pip install azure-ai-ml azure-identity
         ```
 
         For more information, see [Install the Python SDK v2 for Azure Machine Learning](https://aka.ms/sdk-v2-install).

includes/machine-learning-sdk-v2-prereqs.md

@@ -15,7 +15,7 @@ Before following the steps in this article, make sure you have the following pre
 * To install the Python SDK v2, use the following command:
 
     ```bash
-    pip install azure-ai-ml
+    pip install azure-ai-ml azure-identity
     ```
 
     For more information, see [Install the Python SDK v2 for Azure Machine Learning](/python/api/overview/azure/ai-ml-readme).