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New features in H2O 3.18
by H2O.ai Team | February 22, 2018 AutoML, Ensembles, H2O Release, XGBoost

Wolpert Release (H2O 3.18)There’s a new major release of H2O and it’s packed with new features and fixes! We named this release after David Wolpert , who is famous for inventing Stacking (aka Stacked Ensembles ). Stacking is a central component in H2O AutoML , so we’re very grateful for his contributions to machine learning! He is also fa...

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Scalable Automatic Machine Learning: Introducing H2O's AutoML
by H2O.ai Team | June 21, 2017 AutoML, Ensembles, H2O Release, Technical

Prepared by: Erin LeDell, Navdeep Gill & Ray Peck In recent years, the demand for machine learning experts has outpaced the supply, despite the surge of people entering the field. To address this gap, there have been big strides in the development of user-friendly machine learning software that can be used by non-experts and experts...

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Stacked Ensembles and Word2Vec now available in H2O!
by H2O.ai Team | February 08, 2017 Data Munging, Ensembles, H2O Release, NLP, Python, R, Technical

Prepared by: Erin LeDell and Navdeep Gill MathJax.Hub.Config({ tex2jax: {inlineMath: [['$','$'], ['\\(','\\)']]} }); Stacked Ensembles ensemble <- h2o.stackedEnsemble(x = x, y = y, training_frame = train, base_models = my_models) Python:ensemble = H2OStackedEnsembleEstimator(base_models=my_models) ensemble.train(x=x, y=y, training...

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