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
- Cleaned up various bugs
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