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h2o-3

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H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Description provenance: Original source

Open canonical source

Measured: Oct 19, 2026 · 54 observations

Domains & Uses

Domains
Data engineering

Check at the source

Compatibility and prerequisites must be checked in the official documentation.

https://github.com/h2oai/h2o-3

Classifications

Nature
Resource

Measurement history

Comparable readings are grouped by signal and unit.

Stars

7,510stars · Oct 19, 2026

+2 (0 %)since Sep 20, 2026

Sep 20, 2026 : 7,508 starsSep 21, 2026 : 7,508 starsSep 22, 2026 : 7,509 starsSep 23, 2026 : 7,509 starsSep 24, 2026 : 7,509 starsSep 25, 2026 : 7,510 starsSep 26, 2026 : 7,510 starsSep 27, 2026 : 7,510 starsSep 28, 2026 : 7,510 starsSep 29, 2026 : 7,510 starsSep 30, 2026 : 7,512 starsOct 1, 2026 : 7,509 starsOct 18, 2026 : 7,511 starsOct 19, 2026 : 7,510 stars
Exact values · 14 readings
MeasuredstarsChange
7,510-1
7,511+2
7,509-3
7,512+2
7,5100
7,5100
7,5100
7,5100
7,510+1
7,5090
7,5090
7,509+1
7,5080
7,508·