AWS sagemaker documentation change
Summary
Updated documentation link path for notebook_utils.py in SageMaker Python SDK repository to reflect new file location
Security assessment
Change only corrects a documentation URL path without any security implications, vulnerability fixes, or security feature additions. The update maintains existing functionality without altering security content.
Diff
diff --git a/sagemaker/latest/dg/jumpstart-curated-hubs-admin-guide-add-models.md b/sagemaker/latest/dg/jumpstart-curated-hubs-admin-guide-add-models.md index 8e4328137..43d275a7e 100644 --- a//sagemaker/latest/dg/jumpstart-curated-hubs-admin-guide-add-models.md +++ b//sagemaker/latest/dg/jumpstart-curated-hubs-admin-guide-add-models.md @@ -11 +11 @@ After creating a private hub, you can then add allow-listed models. For the full - 1. You can filter through the available models programmatically using the `hub.list_sagemaker_public_hub_models()` method. You can optionally filter by categories such as framework (`"framework == pytorch"`), tasks such as image classification (`"task == ic"`), and more. For more information about filters, see [`notebook_utils.py`](https://github.com/aws/sagemaker-python-sdk/blob/master/src/sagemaker/jumpstart/notebook_utils.py). The filter parameter in the `hub.list_sagemaker_public_hub_models()` method is optional. + 1. You can filter through the available models programmatically using the `hub.list_sagemaker_public_hub_models()` method. You can optionally filter by categories such as framework (`"framework == pytorch"`), tasks such as image classification (`"task == ic"`), and more. For more information about filters, see [`notebook_utils.py`](https://github.com/aws/sagemaker-python-sdk/blob/master/sagemaker-core/src/sagemaker/core/jumpstart/notebook_utils.py). The filter parameter in the `hub.list_sagemaker_public_hub_models()` method is optional.