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A Look at the UniformRobust Method for Histogram Type
by Hannah Tillman, Megan Kurka | July 25, 2023 GBM, H2O-3

Tree-based algorithms, especially Gradient Boosting Machines (GBM’s), are one of the most popular algorithms used. They often out-perform linear models and neural networks for tabular data since they used a boosted approach where each tree built works to fix the error of the previous tree. As the model trains, it is continuously self-corr...

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H2O Releases 3.40.0.1 and 3.42.0.1
by Marek Novotny, Wendy Wong | June 23, 2023 GBM, GLM, H2O Release, H2O-3, XGBoost

Our new major releases of H2O are packed with new features and fixes! Some of the major highlights of these releases are the new Decision Tree algorithm, the added ability to grid over Infogram, an upgrade to the version of XGBoost and an improvement to its speed, the completion of the maximum likelihood dispersion parameter and its expan...

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