Document History for Amazon SageMaker
| Change | Description | Date |
|---|---|---|
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April 28, 2020 |
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SageMaker Studio, SageMaker Studio Notebooks (preview), SageMaker Experiments, SageMaker Autopilot, SageMaker Debugger, SageMaker Model Monitor |
December 3, 2019 |
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Amazon SageMaker Ground Truth, Using Elastic Inference in Amazon SageMaker, SageMaker Resources in AWS Marketplace, SageMaker Inference Pipelines, SageMaker Neo, Manage Machine Learning Experiments with Search , Use Reinforcement Learning in Amazon SageMaker, Associating Git Repositories with Amazon SageMaker Notebook Instances, Semantic Segmentation, Using Augmented Manifest Files in TrainingJobs |
November 28, 2018 |
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You can use shell scripts to configure notebook instances when you create or start them. For more information, see Customize a Notebook Instance. |
May 1, 2018 |
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You can now disable direct internet access for notebook instances. For more information, see Notebook Instances Are Enabled with Internet Access by Default. |
March 15, 2018 |
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Amazon SageMaker now supports Application Auto Scaling for production variants. For information, see Automatically Scaling SageMaker Models |
February 28, 2018 |
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TensorFlow 1.5 and MXNet 1.0 support |
Amazon SageMaker Deep Learning containers now support TensorFlow 1.5 and Apache MXNet 1.0. |
February 27, 2018 |
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Amazon SageMaker now supports the BlazingText algorithm. |
January 18, 2018 |
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Amazon SageMaker now supports KMS encryption for hosting instances and training model
artifacts at rest. You can specify a AWS Key Management Service key that Amazon SageMaker
uses to encrypt
data on the storage volume attached to a hosting endpoint by using the
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January 17, 2018 |
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Amazon SageMaker now supports logging with AWS CloudTrail. |
January 11, 2018 |
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Amazon SageMaker now supports the DeepAR algorithm for time series forecasting. |
January 8, 2018 |
