h2o-3 — tool profile and history

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.

Active

Canonical source ↗

Language
Jupyter Notebook
License
Apache-2.0
Created
Last activity
Topics
  • automl
  • big-data
  • data-science
  • deep-learning
  • distributed
  • ensemble-learning
  • gbm
  • gpu
  • h2o
  • h2o-automl
  • hadoop
  • java
  • machine-learning
  • naive-bayes
  • opensource
  • pca
  • python
  • r
  • random-forest
  • spark

Current measurement

7 498GitHub stars+4 (+0.05 %)
measured growth

Momentum uses available readings from the last 7 days: measured with at least two comparable readings, estimated otherwise.

Reading history

90 days · 90 maximum readings
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Classifications

Domains
Type
Other
Use cases
  • No declared use case