AWS sagemaker documentation change
Summary
Updated API documentation link and modified import paths for Session, FeatureStore, and FeatureGroup classes
Security assessment
Changes involve updating links and SDK import paths restructuring. No evidence of security fixes, vulnerabilities, or security feature documentation added.
Diff
diff --git a/sagemaker/latest/dg/feature-store-create-a-dataset.md b/sagemaker/latest/dg/feature-store-create-a-dataset.md index f2cf02399..47c33a695 100644 --- a//sagemaker/latest/dg/feature-store-create-a-dataset.md +++ b//sagemaker/latest/dg/feature-store-create-a-dataset.md @@ -36 +36 @@ For more information on how to use AWS Glue and Athena to build a training datas -You can use the [Feature Store APIs](https://sagemaker.readthedocs.io/en/stable/api/prep_data/feature_store.html#dataset-builder) to create a dataset from your feature groups. Data scientists create ML datasets for training by retrieving ML feature data from one or more feature groups in the offline store. Use the `create_dataset()` function to create the dataset. You can use the SDK to do the following: +You can use the [Feature Store APIs](https://sagemaker.readthedocs.io/en/stable/api/sagemaker_mlops.html) to create a dataset from your feature groups. Data scientists create ML datasets for training by retrieving ML feature data from one or more feature groups in the offline store. Use the `create_dataset()` function to create the dataset. You can use the SDK to do the following: @@ -51,2 +51,2 @@ Before you use the SDK to create a dataset, you must start a SageMaker AI sessio - from sagemaker.session import Session - from sagemaker.feature_store.feature_store import FeatureStore + from sagemaker.core.helper.session_helper import Session + from sagemaker.mlops.feature_store import FeatureStore @@ -76 +76 @@ The following code shows an example of creating a dataset from multiple feature - from sagemaker.feature_store.feature_group import FeatureGroup + from sagemaker.mlops.feature_store import FeatureGroup @@ -118 +118 @@ The following code shows an example of creating a dataset from multiple feature -The [Feature Store APIs](https://sagemaker.readthedocs.io/en/stable/api/prep_data/feature_store.html#dataset-builder) provides you with helper methods for the `create_dataset` function. You can use them to do the following: +The [Feature Store APIs](https://sagemaker.readthedocs.io/en/stable/api/sagemaker_mlops.html) provides you with helper methods for the `create_dataset` function. You can use them to do the following: