AWS sagemaker documentation change
Summary
Removed redundant links to example notebooks in Marketplace developer documentation
Security assessment
The change removes references to example notebooks but does not impact security documentation or address security vulnerabilities.
Diff
diff --git a/sagemaker/latest/dg/sagemaker-marketplace-develop.md b/sagemaker/latest/dg/sagemaker-marketplace-develop.md index b8e757320..fc61d65e2 100644 --- a//sagemaker/latest/dg/sagemaker-marketplace-develop.md +++ b//sagemaker/latest/dg/sagemaker-marketplace-develop.md @@ -45 +45 @@ An algorithm should be packaged as a docker container and stored in Amazon ECR t -For information about developing algorithms in SageMaker AI and packaging them as containers, see [Docker containers for training and deploying models](./docker-containers.html). For a complete example of how to create an algorithm container, see the sample notebook at [https://sagemaker-examples.readthedocs.io/en/latest/advanced_functionality/scikit_bring_your_own/scikit_bring_your_own.html](https://sagemaker-examples.readthedocs.io/en/latest/advanced_functionality/scikit_bring_your_own/scikit_bring_your_own.html). You can also find the sample notebook in a SageMaker notebook instance. The notebook is in the **Advanced Functionality** section, and is named `scikit_bring_your_own.ipynb`. For information about using the sample notebooks in a notebook instance, see [Access example notebooks](./howitworks-nbexamples.html). +For information about developing algorithms in SageMaker AI and packaging them as containers, see [Docker containers for training and deploying models](./docker-containers.html). For a complete example of how to create an algorithm container, see the sample notebook at [https://sagemaker-examples.readthedocs.io/en/latest/advanced_functionality/scikit_bring_your_own/scikit_bring_your_own.html](https://sagemaker-examples.readthedocs.io/en/latest/advanced_functionality/scikit_bring_your_own/scikit_bring_your_own.html). You can also find the sample notebook in a SageMaker notebook instance. The notebook is in the **Advanced Functionality** section, and is named `scikit_bring_your_own.ipynb`. @@ -57 +57 @@ A deployable model in SageMaker AI consists of inference code, model artifacts, -You create a model by running a training job in SageMaker AI, or by training a machine learning algorithm outside of SageMaker AI. If you run a training job in SageMaker AI, the resulting model artifacts are available in the `ModelArtifacts` field in the response to a call to the [DescribeTrainingJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeTrainingJob.html) operation. For information about how to develop a SageMaker AI model container, see [Containers with custom inference code](./your-algorithms-inference-main.html). For a complete example of how to create a model container from a model trained outside of SageMaker AI, see the sample notebook at [https://sagemaker-examples.readthedocs.io/en/latest/advanced_functionality/xgboost_bring_your_own_model/xgboost_bring_your_own_model.html](https://sagemaker-examples.readthedocs.io/en/latest/advanced_functionality/xgboost_bring_your_own_model/xgboost_bring_your_own_model.html). You can also find the sample notebook in a SageMaker notebook instance. The notebook is in the **Advanced Functionality** section, and is named `xgboost_bring_your_own_model.ipynb`. For information about using the sample notebooks in a notebook instance, see [Access example notebooks](./howitworks-nbexamples.html). +You create a model by running a training job in SageMaker AI, or by training a machine learning algorithm outside of SageMaker AI. If you run a training job in SageMaker AI, the resulting model artifacts are available in the `ModelArtifacts` field in the response to a call to the [DescribeTrainingJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeTrainingJob.html) operation. For information about how to develop a SageMaker AI model container, see [Containers with custom inference code](./your-algorithms-inference-main.html). For a complete example of how to create a model container from a model trained outside of SageMaker AI, see the sample notebook at [https://sagemaker-examples.readthedocs.io/en/latest/advanced_functionality/xgboost_bring_your_own_model/xgboost_bring_your_own_model.html](https://sagemaker-examples.readthedocs.io/en/latest/advanced_functionality/xgboost_bring_your_own_model/xgboost_bring_your_own_model.html).