Merge pull request #1403 from MicrosoftDocs/main

11/8/2024 AM Publish

Author: Taojunshen

articles/ai-services/openai/how-to/use-your-data-securely.md

@@ -273,6 +273,7 @@ So far you have already setup each resource work independently. Next you need to
 | `Storage Blob Data Contributor` | Azure OpenAI | Storage Account | Reads from the input container, and writes the preprocessed result to the output container. |
 | `Cognitive Services OpenAI Contributor` | Azure AI Search | Azure OpenAI | Custom skill. |
 | `Storage Blob Data Reader` | Azure AI Search | Storage Account | Reads document blobs and chunk blobs. |
+| `Reader` | Azure AI Studio Project | Azure Storage Private Endpoints (Blob & File) | Read search indexes created in blob storage within an AI Studio Project. |
 | `Cognitive Services OpenAI User` | Web app | Azure OpenAI | Inference. |
 
 

articles/machine-learning/component-reference/feature-hashing.md

@@ -1,7 +1,7 @@
 ---
 title: "Feature Hashing component reference"
 titleSuffix: Azure Machine Learning
-description: Learn how to use the Feature Hashing component in the Azure Machine Learning designer to featurize text data.
+description: "[Deprecated] Learn how to use the Feature Hashing component in the Azure Machine Learning designer to featurize text data."
 services: machine-learning
 ms.service: azure-machine-learning
 ms.subservice: core
@@ -13,6 +13,10 @@ ms.date: 02/22/2020
 ---
 # Feature Hashing component reference
 
+> [!WARNING]
+>  This component HAS BEEN DEPRECATED because its dependency, the [NimbusML](https://github.com/microsoft/NimbusML) project, is no longer actively maintained. As a result, this component will not receive future updates or security patches.
+> We plan to remove this component in upcoming releases. Users are recommended to migrate to alternative solutions to ensure continued support and security.
+
 This article describes a component included in Azure Machine Learning designer.
 
 Use the Feature Hashing component to transform a stream of English text into a set of integer features. You can then pass this hashed feature set to a machine learning algorithm to train a text analytics model.

articles/machine-learning/component-reference/pca-based-anomaly-detection.md

@@ -1,7 +1,7 @@
 ---
 title: "PCA-Based Anomaly Detection: Component reference"
 titleSuffix: Azure Machine Learning
-description: Learn how to use the PCA-Based Anomaly Detection component to create an anomaly detection model based on principal component analysis (PCA).
+description: "[Deprecated] Learn how to use the PCA-Based Anomaly Detection component to create an anomaly detection model based on principal component analysis (PCA)."
 services: machine-learning
 ms.service: azure-machine-learning
 ms.subservice: core
@@ -14,6 +14,10 @@ ms.date: 02/22/2020
 
 # PCA-Based Anomaly Detection component
 
+> [!WARNING]
+> This component HAS BEEN DEPRECATED because its dependency, the [NimbusML](https://github.com/microsoft/NimbusML) project, is no longer actively maintained. As a result, this component will not receive future updates or security patches.
+> We plan to remove this component in upcoming releases. Users are recommended to migrate to alternative solutions to ensure continued support and security.
+
 This article describes how to use the PCA-Based Anomaly Detection component in Azure Machine Learning designer, to create an anomaly detection model based on principal component analysis (PCA).
 
 This component helps you build a model in scenarios where it's easy to get training data from one class, such as valid transactions, but difficult to get sufficient samples of the targeted anomalies. 

articles/machine-learning/component-reference/poisson-regression.md

@@ -1,7 +1,7 @@
 ---
 title: "Poisson Regression: Component reference"
 titleSuffix: Azure Machine Learning
-description: Learn how to use the Poisson Regression component in Azure Machine Learning designer to create a Poisson regression model.
+description: "[Deprecated] Learn how to use the Poisson Regression component in Azure Machine Learning designer to create a Poisson regression model."
 services: machine-learning
 ms.service: azure-machine-learning
 ms.subservice: core
@@ -14,6 +14,10 @@ ms.date: 07/13/2020
 
 # Poisson Regression
 
+> [!WARNING]
+>  This component HAS BEEN DEPRECATED because its dependency, the [NimbusML](https://github.com/microsoft/NimbusML) project, is no longer actively maintained. As a result, this component will not receive future updates or security patches.
+> We plan to remove this component in upcoming releases. Users are recommended to migrate to alternative solutions to ensure continued support and security.
+
 This article describes a component in Azure Machine Learning designer.
 
 Use this component to create a Poisson regression model in a pipeline. Poisson regression is intended for predicting numeric values, typically counts. Therefore, you should use this component to create your regression model only if the values you are trying to predict fit the following conditions: