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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 1.7.1 (Latest Stable) 1.6.4 (LTS)
R Client Documentation 1.7.1 (Latest Stable)
Recent Changes 1.7.1 (Latest Stable) 1.6.4 (LTS)
Driverless AI Booklet 1.7.1 (Latest Stable) 1.6.4 (LTS)
An Introduction to MLI
MLI with Driverless AI Booklet
Driverless AI User Guide (JP) (for v1.7.1)
Third-Party Licenses 1.7.1 (Latest Stable) 1.6.4 (LTS)
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

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
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
Tutorials
H2O Tutorials 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
Security Features

Security Features for H2O-3

Productionizing H2O-3

Production Recipes for H2O-3

Contribute to H2O-3

Contributing

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

End User Documentation
Sparkling Water User Guide 2.4 2.3 2.2 2.1
Recent Changes 2.4 2.3 2.2 2.1
RSparkling User Guide 2.4 2.3 2.2 2.1
PySparkling User Guide 2.4 2.3 2.2 2.1

Sparkling Water Booklet

Languages
Sparkling Water Scaladoc 2.4 2.3 2.2 2.1
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

Enterprise Steam

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

Installation Guide

User Guide

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
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 HTML PDF
Puddle User Guide HTML PDF
Recent Changes