Document History for Amazon SageMaker
| Change | Description | Date |
|---|---|---|
New feature re:Invent 2021 | December 1, 2021 | |
New feature re:Invent 2021 | December 1, 2021 | |
New feature re:Invent 2021 | December 1, 2021 | |
New feature re:Invent 2021 | December 1, 2021 | |
New feature re:Invent 2021 | December 1, 2021 | |
New feature re:Invent 2021 | December 1, 2021 | |
New feature re:Invent 2021 | December 1, 2021 | |
Autopilot time series data | Amazon SageMaker Autopilot accepts time series as model inputs. For more information, see Amazon SageMaker Autopilot data and problem types.. | October 25, 2021 |
AWS managed policies | Started tracking changes for SageMaker managed policies. | June 10, 2021 |
Instance explanations in the CSV file for models with multiple outputs now map correctly to the right columns in v1.0.5. Also, improved numerical handling of models returning 0 and 1 as class probabilities when using logits in Kernel SHAP. | April 22, 2021 | |
New features re:Invent 2020 | Amazon SageMaker Model Building Pipelines, Automate MLOps with SageMaker Projects, SageMaker Edge Manager, SageMaker Clarify, SageMaker Data Wrangler, SageMaker Feature Store, SageMaker Studio JumpStart, Register and Deploy Models with Model Registry, SageMaker Distributed, Deep Profiling with SageMaker Debugger | December 1, 2020 |
Studio Notebooks | April 28, 2020 | |
New features re:Invent 2019 | SageMaker Studio, SageMaker Studio Notebooks (preview), SageMaker Experiments, SageMaker Autopilot, SageMaker Debugger, SageMaker Model Monitor | December 3, 2019 |
New features re:Invent 2018 | 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 |
Configuring notebook instances | 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 |
Application Auto Scaling support | Amazon SageMaker now supports Application Auto Scaling for production variants. For information, see Automatically Scaling SageMaker Models | February 28, 2018 |
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 |
BlazingText algorithm | Amazon SageMaker now supports the BlazingText algorithm. | January 18, 2018 |
KMS encryption | Amazon SageMaker now supports KMS encryption for hosting instances and training model artifacts at rest. | January 17, 2018 |
CloudTrail support | Amazon SageMaker now supports logging with AWS CloudTrail. | January 11, 2018 |
DeepAR Forecasting algorithm | Amazon SageMaker now supports the DeepAR algorithm for time series forecasting. | January 8, 2018 |
