What's New in Oracle Machine Learning on Autonomous Database

1 What's New in Oracle Machine Learning on Autonomous Database

Provides a summary of the latest enhancements and features for Oracle Machine Learning Notebooks on Autonomous Database.

Table 1-1 New Feature

Feature Description

Feature	Description
Support for cross-region Oracle Data Guard	Oracle Machine Learning Notebooks provides cross-region Oracle Data Guard support in newly provisioned and migrated databases.
Oracle Machine Learning repository migrated from shared database to each respective Autonomous Database instance.	The Oracle Machine Learning (OML) repository has been migrated from shared database to each respective Autonomous Database instance. The migration of the Oracle Machine Learning repository ensures: That all OML objects such as tables, jobs, store procedures, and metadata are moved to the appropriate Autonomous database instance. Provides support for Refreshable Clones, which enables cloning of the Oracle Machine Learning metadata as well. Note: The migration of the Oracle Machine Learning (OML) repository is expected to be completed over a period of 30 days. In case you are not able to view the expected behavior after you clone your Oracle Autonomous Database, check again in a few days. Otherwise, you may contact Oracle Support for more information The OML repository version is mentioned in About in the `<user>` drop-down list on the top right corner of your Oracle Machine Learning Notebooks page. If the version is `1.0.0.0.0`, it indicates that the OML metadata is still in the shared database. If the version is `22.x`, it indicates that the OML repository has been migrated to your Autonomous Database instance.
Oracle Machine Learning Notebooks supported on all Oracle Autonomous Database clones	Oracle Machine Learning Notebooks is supported on all types of Oracle Autonomous Database clones, including: Full Clone: a new database is created with the data in the source database and metadata. Refreshable Clone: a read-only full clone is created that can be easily refreshed with the data from the source database Metadata Clone: a new database is created that includes all of the source database schema metadata, but not the source database data. Note: For a metadata clone, the Example Template notebooks are not supported.

Support for cross-region Oracle Data Guard

Oracle Machine Learning Notebooks provides cross-region Oracle Data Guard support in newly provisioned and migrated databases.

Oracle Machine Learning repository migrated from shared database to each respective Autonomous Database instance.

The Oracle Machine Learning (OML) repository has been migrated from shared database to each respective Autonomous Database instance.

The migration of the Oracle Machine Learning repository ensures:

That all OML objects such as tables, jobs, store procedures, and metadata are moved to the appropriate Autonomous database instance.
Provides support for Refreshable Clones, which enables cloning of the Oracle Machine Learning metadata as well.

Note:

The migration of the Oracle Machine Learning (OML) repository is expected to be completed over a period of 30 days. In case you are not able to view the expected behavior after you clone your Oracle Autonomous Database, check again in a few days. Otherwise, you may contact Oracle Support for more information

The OML repository version is mentioned in About in the <user> drop-down list on the top right corner of your Oracle Machine Learning Notebooks page. If the version is 1.0.0.0.0, it indicates that the OML metadata is still in the shared database. If the version is 22.x, it indicates that the OML repository has been migrated to your Autonomous Database instance.

Oracle Machine Learning Notebooks supported on all Oracle Autonomous Database clones

Oracle Machine Learning Notebooks is supported on all types of Oracle Autonomous Database clones, including:

Full Clone: a new database is created with the data in the source database and metadata.
Refreshable Clone: a read-only full clone is created that can be easily refreshed with the data from the source database
Metadata Clone: a new database is created that includes all of the source database schema metadata, but not the source database data.

Note:
For a metadata clone, the Example Template notebooks are not supported.