H2O and Sparkling Water Documentation


Getting Started


Data Science Algorithms

Supervised Learning

Generalized Linear Modeling (GLM) Tutorial Booklet Reference
Gradient Boosting Machine (GBM) Tutorial Booklet Reference
Deep Learning Tutorial Booklet Reference
Distributed Random Forest Tutorial Booklet Reference
Naive Bayes Tutorial Booklet Reference
Ensembles (Stacking) Tutorial Booklet Reference

Unsupervised Learning

Generalized Low Rank Models (GLRM) Tutorial Reference
K-Means Clustering Tutorial Reference
Principal Components Analysis (PCA) Tutorial Reference

Languages


Tutorials, Examples and Presentations

Use Case Examples

Chicago crime prediction R Python ScalaSW PySW
Airlines 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

For Developers


For the Enterprise

Architecture

A description of H2O's internal software architecture

Security

Security features for H2O, such as SSL and LDAP support

Productionizing

Recipes for taking H2O to production