H2O Driverless AI Updates

We are excited to announce the new release of H2O Driverless AI with lots of improved features.

Below are some of the exciting new features we have added:

Version 1.6.1 LTS (April 18, 2019) – Available here

• Several improvements for MLI (partial dependence plots, Shapley values)
• Improved documentation for model deployment, time-series scoring, AutoViz and FAQs

Version 1.6.0 (April 5, 2019)

• Improved import of string columns larger than 2GB
• Stabilized AutoViz on Windows
• Improved quantile binning in MLI
• Plot global absolute mean Shapley values instead of global mean Shapley values in MLI
• Improvements to PDP/ICE plots in MLI
• Validated Terraform version in AWS Lambda deployment
• Added support for NULL variable importance in AutoDoc
• Made Variable Importance table size configurable in AutoDoc
• Improved support for various combinations of data import options being enabled/disabled
• CUDA is now part of distribution for easier installation
• Security updates:

Enforced SSL settings to be honored for all h2oai_client calls

• Added config option to prevent using LocalStorage in the browser to cache information
• Upgraded Tornado server version to 5.1.1
• Improved session expiration and autologout functionality
• Disabled access to Driverless AI data folder in file browser
• Provided an option to filter content that is shown in the file browser
• Use login name for HDFS impersonation instead of predefined name
• Disabled autocomplete in login form

Please see links below for additional information on H2O Driverless AI:

Release Notes:

http://docs.h2o.ai/driverless-ai/latest-stable/docs/userguide/release_notes.html

Webinars:

BrightTalk Channel

Driverless AI Documentation:

http://docs.h2o.ai/driverless-ai/latest-stable/docs/userguide/index.html

If you have any questions, please reach out to support@h2o.ai

Thanks, Venkatesh Yadav