H2O.ai Documentation

Driverless AI

Automatic Machine Learning for the Enterprise. Driverless AI automates feature engineering, model building, visualization and interpretability.

End User Documentation

Driverless AI User Guide	1.9.3	1.8.10 (LTS)
Python Client Documentation	1.9.3	1.8.10 (LTS)
R Client Documentation	1.9.3	1.8.10 (LTS)
Recent Changes	1.9.3	1.8.10 (LTS)
Driverless AI Booklet	1.9.3	1.8.10 (LTS)
Driverless AI Deployment Templates
An Introduction to MLI (O'Reilly)
Driverless AI User Guide (Japanese - for v1.8.5.1)
Third-Party Licenses	1.9.3	1.8.10 (LTS)

Tutorials

Driverless AI Tutorials

Videos

Downloading Driverless AI

Launching an Experiment

Using Custom Recipes in Driverless AI

If you do not have a license key

Driverless AI 21-day Free Trial Try it Now

H2O-3

The H2O open source platform works with R, Python, Scala on Hadoop/Yarn, Spark, or your laptop

H2O is licensed under the Apache License, Version 2.0

Prior releases

End User Documentation

H2O User Guide

Recent Changes

H2O README

H2O Book (O'Reilly)

Videos

Quick Start with Flow Web UI

Quick Start with Python

Quick Start with R

Algorithms

Supervised Learning

AutoML	Tutorial	Booklet	Reference	Tuning
Cox Proportional Hazards (CoxPH)	Tutorial	Booklet	Reference	Tuning
Deep Learning (DL)	Tutorial	Booklet	Reference	Tuning
Distributed Random Forest (DRF)	Tutorial	Booklet	Reference	Tuning
Generalized Linear Modeling (GLM)	Tutorial	Booklet	Reference	Tuning
Generalized Additive Models (GAM)	Tutorial	Booklet	Reference	Tuning
Gradient Boosting Machine (GBM)	Tutorial	Booklet	Reference	Tuning
Naive Bayes	Tutorial	Booklet	Reference	Tuning
Stacked Ensembles	Tutorial	Booklet	Reference	Tuning
XGBoost	Tutorial	Booklet	Reference	Tuning

Unsupervised Learning

Aggregator	Tutorial	Reference
Generalized Low Rank Models (GLRM)	Tutorial	Reference
K-Means Clustering	Tutorial	Reference
Isolation Forest	Tutorial	Reference
Principal Component Analysis (PCA)	Tutorial	Reference

Miscellaneous

Word2Vec

Tutorial

Reference

Languages

R

R Package Docs

H2O Ensemble R Package README

Examples and Demos

R FAQ

Java

POJO and MOJO Javadoc

H2O Core Javadoc

H2O Algorithms Javadoc

Python

Python Module Docs

Python Booklet

Python Package README

Examples and Demos

Python FAQ

Scala

H2O Scaladoc

2.11

2.10

API Reference

REST API Endpoint Reference

REST API Schema Reference

Tutorials

H2O Tutorials

HTML

PDF

Use Case Examples

Chicago Crime Prediction	R	Python	ScalaSW	PySW
Airline Delays Prediction	R	Python	ScalaSW	PySW
Lending Club Loan Prediction	R	Python	ScalaSW	PySW
Ham or Spam	R	Python	ScalaSW	PySW
Prediction with Prostate Dataset	R	Python	ScalaSW	PySW
Craigslist Job Titles	R	Python	ScalaSW	PySW

H2O Wave

Make your own AI/ML apps

H2O Wave is licensed under the Apache License, Version 2.0

End User Documentation

H2O Wave Application Guide

H2O AI Hybrid Cloud

Operationalize AI/ML applications

End User Documentation

H2O AI Hybrid Cloud Appstore User Guide

Sparkling Water

Sparkling Water combines the fast, scalable machine learning algorithms of H2O with the capabilities of Spark

Sparkling Water is licensed under the Apache License, Version 2.0

Prior releases

End User Documentation

Sparkling Water User Guide	3.1	3.0	2.4	2.3	2.2	2.1
Recent Changes	3.1	3.0	2.4	2.3	2.2	2.1
RSparkling User Guide	3.1	3.0	2.4	2.3	2.2	2.1
PySparkling User Guide	3.1	3.0	2.4	2.3	2.2	2.1

Sparkling Water Booklet

Mastering Machine Learning with Spark 2.x (Packt)

Languages

Sparkling Water Scaladoc

Videos

Quick Start Video - Scala

Contribute to Sparkling Water

Contributing

H2O4GPU

H2O open source optimized for NVIDIA GPUs

H2O4GPU is licensed under the Apache License, Version 2.0

End User Documentation

Python Module Docs

H2O4GPU README

Contribute to H2O4GPU

Contributing

MLOps

Export your Driverless AI experiments and H2O-3 MOJO models into a shared MLOps project for collaboration, management, deployment, and monitoring

End User Documentation

User Guide

If you do not have a license key

Contact sales@h2o.ai

Enterprise Steam

Securely start and connect to H2O YARN jobs in a Hadoop environment

Prior releases

End User Documentation

Installation Guide

User Guide

Python Client Documentation

R Client Documentation

H2O-AutoDoc Documentation

If you do not have a license key

Contact sales@h2o.ai

Puddle

H2O.ai's platform for orchestrating and managing Driverless AI and H2O-3 in cloud environments

Prior releases

Evaluation Version Documentation

Note that this is a prerelease version. Before beginning, you must have received a license key for Driverless AI and a credit code from your H2O.ai SE.

Puddle User Guide

HTML

PDF

Enterprise Version Documentation

Note that a license key is required for running Driverless AI.

Puddle Installation and Administration Guide

Puddle User Guide

Puddle Python Client Documentation

Recent Changes

Additional Resources

Resources for obtaining more information

Need Help?

H2O Blog
H2O Community on Slack
Issue Tracking (JIRA)
Stack Overflow for:	Driverless AI	H2O	Sparkling Water	H2O4GPU
h2ostream Google Group
Gitter
H2O University