1 What's New in Oracle Machine Learning User Interface on Autonomous Database
Provides a summary of the latest enhancements and features for Oracle Machine Learning User Interface on Oracle Autonomous Database.
Table 1-1 New Features
Features | Description |
---|---|
Oracle Machine Learning Notebooks update. | Oracle Machine Learning User Interface offers an
enhanced notebook environment. Initially released as
Notebooks EA (Early Adopter) in
Autonomous Database - Serverless, it is now accessed using
Notebooks under the left navigation menu
and home page. The enhanced notebook interface supports SQL, SQL
Script, R, Python, Conda, and Markdown interpreters. You can write
code, text, create rich visualizations, and perform data analytics
including machine learning in the enhanced notebooks.
Note: The original Zeppelin-based notebook interface is still available for a limited time under the left navigation menu item Notebooks Classic. |
Support for model monitoring in Oracle Machine Learning User Interface | Oracle Machine Learning User Interface offers support for model monitoring. It allows you to create model monitors. The model monitors enable you to monitor the quality of model predictions over time, and provides you with insights on the underlying causes. |
Support for data monitoring in Oracle Machine Learning User Interface | Oracle Machine Learning User Interface offers support for data monitoring. It allows you to monitor your data and evaluate how your data evolves over time. It helps you with insights on trends and multivariate dependencies in the data. It also provides you an early warning about data drift. |
Support for enhanced notebooks in Autonomous Database - Serverless |
Oracle Machine Learning User Interface offers a new enhanced notebook environment Notebooks EA (Early Adopter) in Autonomous Database - Serverless. The enhanced notebook supports SQL, SQL Script, R, Python, Conda, and Markdown interpreters. You can write code, text, create rich visualizations, and perform data analytics including machine learning in the enhanced notebooks.
Note: The enhanced notebook is available in the Oracle Machine Learning Notebook Early Adopter release. During the Early Adopter release period, both Zeppelin and the enhanced notebooks will be available, after which all notebooks will be converted to the new notebook environment. During the Early Adopter phase, you can use both the original Zeppelin and new Early Adopter notebook interfaces. Notebooks in the original interface can be copied to the Early Adopter release.The enhanced notebook interface in Autonomous Database - Serverless provides the following enhanced features and user experiences:
|
Support for Python and R third-party libraries |
Third-party libraries for Python and R are available on Oracle Machine Learning Notebooks. Oracle Machine Learning UI provides the Conda interpreter to install third-party Python and R libraries inside a notebook session. Conda is an open-source package and environment management system that enables the use of environments containing third-party Python and R libraries.
|
Support for R |
Oracle Machine Learning for R is supported within Oracle Machine Learning Notebooks. By using Oracle Machine Learning for R, you can perform data exploration and machine learning modeling. OML4R is available through Oracle Machine Learning Notebooks on Oracle Autonomous Database - Serverless, including Autonomous Data Warehouse , Autonomous Transaction Processing and Oracle Autonomous JSON Database services. |
Support for cross-region Autonomous Data Guard |
Oracle Machine Learning Notebooks provide cross-region Autonomous Data Guard support in newly provisioned and migrated databases. |
Oracle Machine Learning repository migrated from Serverless database to each respective Oracle Autonomous Database instance. |
The Oracle Machine Learning (OML) repository has been migrated from Serverless database to each respective Oracle Autonomous Database instance. The migration of the Oracle Machine Learning repository ensures:
Note: The migration of the Oracle Machine Learning (OML) repository is expected to be completed over a period of 30 days.The OML repository version is mentioned in About in the |
Oracle Machine Learning Notebook supported on all Oracle Autonomous Database clones |
Oracle Machine Learning Notebook is supported on all types of Oracle Autonomous Database - Serverless clones, including:
|