AWS sagemaker documentation change
Summary
Updated links to SageMaker Python SDK documentation by removing anchor fragments (#default-configuration-file-location and #configuration-file-structure)
Security assessment
The change only modifies URL anchors without altering security-related content. No security vulnerabilities, configurations, or features are mentioned.
Diff
diff --git a/sagemaker/latest/dg/jumpstart-deploy.md b/sagemaker/latest/dg/jumpstart-deploy.md index 0256ed920..8ec37b871 100644 --- a//sagemaker/latest/dg/jumpstart-deploy.md +++ b//sagemaker/latest/dg/jumpstart-deploy.md @@ -174 +174 @@ You can configure default values for parameters such as IAM roles, VPCs, and KMS -By default, the SageMaker Python SDK uses two configuration files: one for the administrator and one for the user. Using the admininistrator configuration file, administrators can define a set of default values. End-users can override values set in the administrator configuration file and set additional default values using the end-user configuration file. For more information, see [Default configuration file location](https://sagemaker.readthedocs.io/en/stable/overview.html#default-configuration-file-location). +By default, the SageMaker Python SDK uses two configuration files: one for the administrator and one for the user. Using the admininistrator configuration file, administrators can define a set of default values. End-users can override values set in the administrator configuration file and set additional default values using the end-user configuration file. For more information, see [Default configuration file location](https://sagemaker.readthedocs.io/en/stable/). @@ -189 +189 @@ Administrators can optionally set configuration defaults for JumpStart model tra -Your configuration file should adhere to the SageMaker Python SDK [configuration file structure](https://sagemaker.readthedocs.io/en/stable/overview.html#configuration-file-structure). Note that specific fields in the `TrainingJob`, `Model`, and `EndpointConfig` configurations apply to JumpStart model training and deployment default values. +Your configuration file should adhere to the SageMaker Python SDK [configuration file structure](https://sagemaker.readthedocs.io/en/stable/). Note that specific fields in the `TrainingJob`, `Model`, and `EndpointConfig` configurations apply to JumpStart model training and deployment default values.