Search Button
RSS icon Sort by:
New Features Now Available with the Latest Release of the H2O AI Hybrid Cloud 21.10
by Mary Beth Moore October 18, 2021 H2O AI Hybrid Cloud H2O Release

The Makers here at H2O.ai have been busy building new features and enhancing capabilities across our AI platform. Designed to support our core mission of democratizing AI, these additions to our platform simplify the ability to make AI you can trust, operate it efficiently and innovate with ready-made AI applications. Launched in January of 2021, […]

Read More
H2O Release 3.34 (Zizler)
by Jo-fai Chow September 15, 2021 H2O H2O Release Open Source

There’s a new major release of H2O, and it’s packed with new features and fixes! Among the big new features in this release, we’ve added Extended Isolation Forest for improved results on anomaly detection problems, and we’ve implemented the Type III SS test (ANOVAGLM) and the MAXR method to GLM. For existing algorithms, we improved […]

Read More
New Improvements in H2O 3.32.0.2
by Jo-fai Chow December 17, 2020 H2O Release XGBoost

There is a new minor release of H2O that introduces two useful improvements to our XGBoost integration: interaction constraints and feature interactions. Interaction Constraints Feature interaction constraints allow users to decide which variables are allowed to interact and which are not. Potential benefits: Better predictive performance from focusing on interactions that work – whether through […]

Read More
H2O Release 3.32 (Zermelo)
by Jo-fai Chow October 14, 2020 H2O Release Open Source

There’s a new major release of H2O, and it’s packed with new features and fixes! Among the big new features in this release, we’ve added RuleFit — an interpretable machine learning algorithm, introduced a new toolbox for model explainability, made Target Encoding work for all classes of problems, and integrated it in our AutoML framework. On […]

Read More
H2O Release 3.30 (Zahradnik)
by Hooley Burch April 7, 2020 H2O Release

There’s a new major release of H2O, and it’s packed with new features and fixes! Among the big new features in this release, we’ve introduced support for Generalized Additive Models, added an option to build many models in parallel on segments of your dataset, improved support for deploying on Kubernetes, upgraded XGBoost with newly added features, […]

Read More
H2O Release 3.28 (Yu)
by Jo-fai Chow December 20, 2019 H2O Release

There’s a new major release of H2O, and it’s packed with new features and fixes! Among the big new features in this release, we’ve introduced support for Hierarchical GLM, added an option to parallelize Grid Search, upgraded XGBoost with newly added features, and improved our AutoML framework. The release is named after Bin Yu. Hierarchical GLM […]

Read More
Driverless AI Screen
New Innovations in Driverless AI
by Vinod Iyengar August 20, 2019 Data Science Explainable AI H2O Release Machine Learning Machine Learning Interpretability Recipes Technical

What’s new in Driverless AI We’re super excited to announce the latest release of H2O Driverless AI. This is a major release with a ton of new features and functionality. Let’s quickly dig into all of that:  Make Your Own AI with Recipes for Every Use Case: In the last year, Driverless AI introduced time-series […]

Read More
H2O Release 3.26 (Yau)
by Jo-fai Chow July 30, 2019 H2O Release

There’s a new major release of H2O, and it’s packed with new features and fixes! Among the big new features in this release, we’ve introduced the ability to define a Custom Loss Function in our GBM implementation, and we’ve extended the portfolio of our machine learning algorithms with the implementation of the SVM algorithm. The […]

Read More
H2O-3, Sparkling Water and Enterprise Steam Updates
H2O-3, Sparkling Water and Enterprise Steam Updates
by Patrick Moran April 10, 2019 Community Data Science H2O Release Technical

We are excited to announce the new release of H2O Core, Sparkling Water and Enterprise Steam. Below are some of the new features we have added: H2O-3 Yates (3.24.0.1) – 3/31/2019 Download at: http://h2o-release.s3.amazonaws.com/h2o/rel-yates/1/index.html Bug [PUBDEV-6159] – The AutoMLTest.java test suite now runs correctly on a local machine. [PUBDEV-6189] – Fixed an issue in as_date that […]

Read More
H2O Release 3.24 (Yates)
by Jo-fai Chow April 2, 2019 H2O Release

There’s a new major release of H2O, and it’s packed with new features and fixes! Among the big new features in this release, we’ve introduced cross-version support for model import, added new features for model interpretation, provided much-improved support for reading data from Apache Hive, and included various algorithm and AutoML improvements. The release is […]

Read More
1 2