Amazon SageMaker Service

2020/07/24 - 3 new 12 updated api methods

Changes   Sagemaker Ground Truth:Added support for OIDC (OpenID Connect) to authenticate workers via their own identity provider instead of through Amazon Cognito. This release adds new APIs (CreateWorkforce, DeleteWorkforce, and ListWorkforces) to SageMaker Ground Truth service. Sagemaker Neo: Added support for detailed target device description by using TargetPlatform fields - OS, architecture, and accelerator. Added support for additional compilation parameters by using JSON field CompilerOptions. Sagemaker Search: SageMaker Search supports transform job details in trial components.

2020/07/09 - 1 new 1 updated api methods

Changes   This release adds the DeleteHumanTaskUi API to Amazon Augmented AI

2020/06/26 - 2 updated api methods

Changes   The new 'ModelClientConfig' parameter being added for CreateTransformJob and DescribeTransformJob api actions enable customers to configure model invocation related parameters such as timeout and retry.

2020/06/01 - 3 updated api methods

Changes   We are releasing HumanTaskUiArn as a new parameter in CreateLabelingJob and RenderUiTemplate which can take an ARN for a system managed UI to render a task.

2020/05/08 - 6 updated api methods

Changes   This release adds a new parameter (EnableInterContainerTrafficEncryption) to CreateProcessingJob API to allow for enabling inter-container traffic encryption on processing jobs.

2020/04/27 - 8 updated api methods

Changes   Change to the input, ResourceSpec, changing EnvironmentArn to SageMakerImageArn. This affects the following preview APIs: CreateDomain, DescribeDomain, UpdateDomain, CreateUserProfile, DescribeUserProfile, UpdateUserProfile, CreateApp and DescribeApp.

2020/04/16 - 13 updated api methods

Changes   Amazon SageMaker now supports running training jobs on ml.g4dn and ml.c5n instance types. Amazon SageMaker supports in "IN" operation for Search now.

2020/03/26 - 6 updated api methods

Changes   This release updates Amazon Augmented AI CreateFlowDefinition API and DescribeFlowDefinition response.

2020/02/26 - 5 updated api methods

Changes   SageMaker UpdateEndpoint API now supports retained variant properties, e.g., instance count, variant weight. SageMaker ListTrials API filter by TrialComponentName. Make ExperimentConfig name length limits consistent with CreateExperiment, CreateTrial, and CreateTrialComponent APIs.

2020/01/16 - 2 new 7 updated api methods

Changes   This release adds two new APIs (UpdateWorkforce and DescribeWorkforce) to SageMaker Ground Truth service for workforce IP whitelisting.

2020/01/10 - 3 updated api methods

Changes   SageMaker ListTrialComponents API filter by TrialName and ExperimentName.

2019/12/04 - 56 new 19 updated api methods

Changes   You can now use SageMaker Autopilot for automatically training and tuning candidate models using a combination of various feature engineering, ML algorithms, and hyperparameters determined from the user's input data. SageMaker Automatic Model Tuning now supports tuning across multiple algorithms. With Amazon SageMaker Experiments users can create Experiments, ExperimentTrials, and ExperimentTrialComponents to track, organize, and evaluate their ML training jobs. With Amazon SageMaker Debugger, users can easily debug training jobs using a number of pre-built rules provided by Amazon SageMaker, or build custom rules. With Amazon SageMaker Processing, users can run on-demand, distributed, and fully managed jobs for data pre- or post- processing or model evaluation. With Amazon SageMaker Model Monitor, a user can create MonitoringSchedules to automatically monitor endpoints to detect data drift and other issues and get alerted on them. This release also includes the preview version of Amazon SageMaker Studio with Domains, UserProfiles, and Apps. This release also includes the preview version of Amazon Augmented AI to easily implement human review of machine learning predictions by creating FlowDefinitions, HumanTaskUis, and HumanLoops.

2019/11/18 - 2 updated api methods

Changes   Amazon SageMaker now supports multi-model endpoints to host multiple models on an endpoint using a single inference container.

2019/10/24 - 9 updated api methods

Changes   Adds support for the new family of Elastic Inference Accelerators (eia2) for SageMaker Hosting and Notebook Services

2019/09/25 - 6 updated api methods

Changes   Enable G4D and R5 instances in SageMaker Hosting Services

2019/08/21 - 7 updated api methods

Changes   Amazon SageMaker now supports Amazon EFS and Amazon FSx for Lustre file systems as data sources for training machine learning models. Amazon SageMaker now supports running training jobs on ml.p3dn.24xlarge instance type. This instance type is offered as a limited private preview for certain SageMaker customers. If you are interested in joining the private preview, please reach out to the SageMaker Product Management team via AWS Support."

2019/08/20 - 10 updated api methods

Changes   Amazon SageMaker introduces Managed Spot Training. Increases the maximum number of metric definitions to 40 for SageMaker Training and Hyperparameter Tuning Jobs. SageMaker Neo adds support for Acer aiSage and Qualcomm QCS605 and QCS603.

2019/06/11 - 5 updated api methods

Changes   The default TaskTimeLimitInSeconds of labeling job is increased to 8 hours. Batch Transform introduces a new DataProcessing field which supports input and output filtering and data joining. Training job increases the max allowed input channels from 8 to 20.

2019/05/08 - 8 updated api methods

Changes   Workteams now supports notification configurations. Neo now supports Jetson Nano as a target device and NumberOfHumanWorkersPerDataObject is now included in the ListLabelingJobsForWorkteam response.

2019/03/14 - 3 updated api methods

Changes   Amazon SageMaker Automatic Model Tuning now supports random search and hyperparameter scaling.

2019/03/08 - 7 updated api methods

Changes   SageMaker notebook instances now support enabling or disabling root access for notebook users. SageMaker Neo now supports rk3399 and rk3288 as compilation target devices.

2019/01/10 - 4 updated api methods

Changes   SageMaker Training Jobs now support Inter-Container traffic encryption.

2018/12/19 - 7 updated api methods

Changes   Batch Transform Jobs now supports TFRecord as a Split Type. ListCompilationJobs API action now supports SortOrder and SortBy inputs.

2018/12/12 - 2 updated api methods

Changes   Amazon SageMaker Automatic Model Tuning now supports early stopping of training jobs. With early stopping, training jobs that are unlikely to generate good models will be automatically stopped during a Hyperparameter Tuning Job.

2018/11/29 - 32 new 14 updated api methods

Changes   Amazon SageMaker now has Algorithm and Model Package entities that can be used to create Training Jobs, Hyperparameter Tuning Jobs and hosted Models. Subscribed Marketplace products can be used on SageMaker to create Training Jobs, Hyperparameter Tuning Jobs and Models. Notebook Instances and Endpoints can leverage Elastic Inference accelerator types for on-demand GPU computing. Model optimizations can be performed with Compilation Jobs. Labeling Jobs can be created and supported by a Workforce. Models can now contain up to 5 containers allowing for inference pipelines within Endpoints. Code Repositories (such as Git) can be linked with SageMaker and loaded into Notebook Instances. Network isolation is now possible on Models, Training Jobs, and Hyperparameter Tuning Jobs, which restricts inbound/outbound network calls for the container. However, containers can talk to their peers in distributed training mode within the same security group. A Public Beta Search API was added that currently supports Training Jobs.

2018/11/14 - 9 updated api methods

Changes   SageMaker now makes the final set of metrics published from training jobs available in the DescribeTrainingJob results. Automatic Model Tuning now supports warm start of hyperparameter tuning jobs. Notebook instances now support a larger number of instance types to include instances from the ml.t3, ml.m5, ml.c4, ml.c5 families.

2018/10/26 - 7 updated api methods

Changes   SageMaker notebook instances can now have a volume size configured.

2018/08/30 - 4 updated api methods

Changes   VolumeKmsKeyId now available in Batch Transform Job

2018/08/17 - 1 updated api methods

Changes   Added an optional boolean parameter, 'DisassociateLifecycleConfig', to the UpdateNotebookInstance operation. When set to true, the lifecycle configuration associated with the notebook instance will be removed, allowing a new one to be set via a new 'LifecycleConfigName' parameter.