Document History - Amazon Machine Learning

We are no longer updating the Amazon Machine Learning service or accepting new users for it. This documentation is available for existing users, but we are no longer updating it. For more information, see What is Amazon Machine Learning.

Document History

The following table describes the important changes to the documentation in this release of Amazon Machine Learning (Amazon ML).

  • API Version: 2015-04-09

  • Last documentation update: 2016-08-02

Change Description Date Changed

Metrics added

This release of Amazon ML adds new metrics for Amazon ML objects.

For more information, see Listing Objects.

August 2nd, 2016

Delete multiple objects

This release of Amazon ML adds the ability to delete multiple Amazon ML objects.

For more information, see Deleting Objects.

July 20th, 2016

Tagging added

This release of Amazon ML adds the ability to apply tags to Amazon ML objects.

For more information, see Tagging Your Amazon ML Objects.

June 23rd, 2016

Copying Amazon Redshift datasources

This release of Amazon ML adds the ability copy Amazon Redshift datasource settings to a new Amazon Redshift datasource.

For more information about copying Amazon Redshift datasource settings, see Copying a Datasource (Console).

April 11th, 2016

Shuffling added

This release of Amazon ML adds the ability to shuffle your input data.

For more information about using the Shuffle type parameter, see Shuffle Type for Training Data.

April 5th, 2016

Improved datasource creation with Amazon Redshift

This release of Amazon ML adds the ability to test your Amazon Redshift settings when you create an Amazon ML datasource in the console to verify that the connection works. For more information, see Creating a Datasource with Amazon Redshift Data (Console).

March 21st, 2016

Improved Amazon Redshift data schema conversion

This release of Amazon ML improves the conversion of Amazon Redshift (Amazon Redshift) data schemas to Amazon ML data schemas.

For more information about using Amazon Redshift with Amazon ML, see Creating an Amazon ML Datasource from Data in Amazon Redshift.

February 9th, 2016

CloudTrail logging added

This release of Amazon ML adds the ability to log requests using AWS CloudTrail (CloudTrail).

For more information about using CloudTrail logging, see Logging Amazon ML API Calls with AWS CloudTrail.

December 10th, 2015

Additional DataRearrangement options added

This release of Amazon ML adds the ability to split your input data randomly and create complementary datasources.

For more information about using the DataRearrangement parameter, see Data Rearrangement . For information on how to use the new options for cross-validation, see Cross-Validation.

December 3rd, 2015

Trying real-time predictions

This release of Amazon ML adds ability to try real-time predictions in the service console.

For more information about trying real-time predictions, see Requesting Real-time Predictions in the Amazon Machine Learning Developer Guide.

November 19th, 2015

New Region

This release of Amazon ML adds support for the EU (Ireland) region.

For more information about Amazon ML in the EU (Ireland) region, see Regions and Endpoints in the Amazon Machine Learning Developer Guide.

August 20th, 2015

Initial Release

This is the first release of the Amazon ML Developer Guide.

April 9th, 2015