Fast Scalable R with H2O

This booklet describes how to use R with H2O, and provides a step-by-step guide on downloading and launching H2O from R. It also provides an example demo and an appendix of parameters. **Note**: This document is for H2O v. 2.8 and prior. If you are using the latest version of H2O, please refer to the updated document at h2o.ai/resources

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H2O.ai

Note to readers:

These documents are applicable to H2O v. 2.8 and prior. If you are using the current version of H2O, (H2O-3), please visit docs.h2o.ai and select "H2O 3.0" for the latest documentation.

H2O is for data scientists and application developers who need fast, in-memory scalable machine learning for smarter applications. H2O is an open source parallel processing engine for machine learning. Unlike traditional analytics tools, H2O provides a combination of extraordinary math, a high performance parallel architecture, and unrivaled ease of use.

Visit us at h2o.ai to learn more.

All our booklets are available on this site at no charge. Please note that the free samples contain all the chapters for each booklet.

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