additional-resources.rst

Additional Resources

• 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 <https://docs.h2o.ai/h2o-tutorials/ latest-stable/h2o-world-2017/automl/index.html>__	Booklet	Reference <https://docs.h2o.ai/h2o/ latest-stable/h2o-docs/automl.html>__	Tuning
Cox Proportional Hazards (CoxPH)	Tutorial	Booklet	Reference <https://docs.h2o.ai/h2o/ h2o-docs/data-science/coxph.html>__	Tuning
Deep Learning (DL)	Tutorial <https://docs.h2o.ai/h2o-tutorials/ latest-stable/tutorials/deeplearning/index.html>__	Booklet <https://docs.h2o.ai/h2o/latest-stable/ h2o-docs/booklets/DeepLearningBooklet.pdf>__	Reference <https://docs.h2o.ai/h2o/ latest-stable/h2o-docs/data-science/ deep-learning.html>__	Tuning <https://docs.h2o.ai/h2o/ latest-stable/h2o-docs/data-science/ deep-learning.html#deep-learning-tuning-guide>__
Distributed Random Forest (DRF)	Tutorial <https://github.com/h2oai/h2o-3/blob/ master/h2o-docs/src/product/tutorials/rf/rf.md>__	Booklet	Reference <https://docs.h2o.ai/h2o/ latest-stable/h2o-docs/data-science/ drf.html>__	Tuning
Generalized Linear Modeling (GLM)	Tutorial <https://docs.h2o.ai/h2o-tutorials/ latest-stable/tutorials/glm/glm.html>__	Booklet <https://docs.h2o.ai/h2o/latest-stable/ h2o-docs/booklets/GLMBooklet.pdf>__	Reference <https://docs.h2o.ai/h2o/ latest-stable/h2o-docs/data-science/ glm.html>__	Tuning
Maximum R Square Improvements (MAXR)	Tutorial	Booklet	Reference <https://docs.h2o.ai/h2o/ latest-stable/h2o-docs/data-science/ maxrglm.html>__	Tuning
Generalized Additive Models (GAM)	Tutorial	Booklet	Reference <https://docs.h2o.ai/h2o/ latest-stable/h2o-docs/data-science/ gam.html>__	Tuning
ANOVA GLM	Tutorial	Booklet	Reference <https://docs.h2o.ai/h2o/ latest-stable/h2o-docs/data-science/ anova_glm.html>__	Tuning
Gradient Boosting Machine (GBM)	Tutorial <https://docs.h2o.ai/h2o-tutorials/ latest-stable/tutorials/gbm-randomforest/ index.html>__	Booklet <https://docs.h2o.ai/h2o/latest-stable/ h2o-docs/booklets/GBMBooklet.pdf>__	Reference <https://docs.h2o.ai/h2o/ latest-stable/h2o-docs/data-science/ gbm.html>__	Tuning <https://docs.h2o.ai/h2o/latest-stable/ h2o-docs/data-science/ gbm.html#gbm-tuning-guide>__
Naive Bayes	Tutorial	Booklet	Reference <https://docs.h2o.ai/h2o/ latest-stable/h2o-docs/data-science/ naive-bayes.html>__	Tuning
Stacked Ensembles	Tutorial <https://docs.h2o.ai/h2o-tutorials/ latest-stable/tutorials/ensembles-stacking/ index.html>__	Booklet	Reference <https://docs.h2o.ai/h2o/ latest-stable/h2o-docs/data-science/ stacked-ensembles.html>__	Tuning
Distributed Uplift Random Forest (Uplift DRF)	Tutorial <https://github.com/h2oai/h2o-3/blob/ master/h2o-py/demos/ uplift_random_forest_compare_causalml.ipynb>__	Booklet	Reference <https://docs.h2o.ai/h2o/ latest-stable/h2o-docs/data-science/ upliftdrf.html>__	Tuning
XGBoost	Tutorial	Booklet	Reference <https://docs.h2o.ai/h2o/ latest-stable/h2o-docs/data-science/ xgboost.html>__	Tuning

Unsupervised Learning
Aggregator	Tutorial	Reference <https://docs.h2o.ai/h2o/ latest-stable/h2o-docs/data-science/aggregator.html>__
Generalized Low Rank Models (GLRM)	Tutorial <https://docs.h2o.ai/h2o-tutorials/ latest-stable/tutorials/glrm/glrm-tutorial.html>__	Reference <https://docs.h2o.ai/h2o/latest-stable/ h2o-docs/data-science/glrm.html>__
K-Means Clustering	Tutorial <https://github.com/h2oai/h2o-3/blob/ master/h2o-docs/src/product/tutorials/kmeans/ kmeans.md>__	Reference <https://docs.h2o.ai/h2o/latest-stable/ h2o-docs/data-science/k-means.html>__
Isolation Forest	Tutorial <https://github.com/h2oai/h2o-tutorials/ tree/master/tutorials/isolation-forest>__	Reference <https://docs.h2o.ai/h2o/latest-stable/ h2o-docs/data-science/if.html>__
Principal Component Analysis (PCA)	Tutorial <https://github.com/h2oai/h2o-3/blob/ master/h2o-docs/src/product/tutorials/pca/ pca.md>__	Reference <https://docs.h2o.ai/h2o/latest-stable/ h2o-docs/data-science/pca.html>__

Languages

R

• R Booklet
• R Studio Cheat sheet
• R Package README
• H2O Ensemble R Package README
• Examples and Demos
• R FAQ

Python

• Python Booklet
• Python Package README
• Examples and Demos
• Python FAQ

Java

• POJO and MOJO Javadoc
• H2O Core Javadoc
• H2O Algorithms Javadoc

API Reference

• REST API Endpoint Reference
• REST API Schema Reference

Tutorials

H2O Tutorials

• HTML
• PDF

Use Case Examples

Examples
Chicago Crime Prediction	R <https://github.com/h2oai/h2o-3/blob/master/ h2o-r/demos/rdemo.chicago.crime.large.R>__	Python <https://github.com/h2oai/h2o-3/blob/ master/h2o-py/demos/H2O_chicago_crimes.ipynb>__	ScalaSW <https://github.com/h2oai/sparkling-water/ blob/master/examples/src/main/scala/ai/h2o/ sparkling/examples/ChicagoCrimeApp.scala>__	PySW <https://docs.h2o.ai/h2o-tutorials/ latest-stable/tutorials/pysparkling/ Chicago_Crime_Demo.html>__
Airline Delays Prediction	R <https://github.com/h2oai/h2o-3/blob/master/ h2o-r/demos/rdemo.airlines.delay.large.R>__	Python <https://github.com/h2oai/h2o-3/blob/ master/h2o-py/demos/airlines_demo_small.ipynb>__	ScalaSW <https://github.com/h2oai/sparkling-water/ blob/master/examples/src/main/scala/ai/h2o/ sparkling/examples/AirlinesWithWeatherDemo.scala>__	PySW
Lending Club Load Prediction	R <https://github.com/h2oai/h2o-3/blob/master/ h2o-r/demos/rdemo.lending.club.large.R>__	Python	ScalaSW	PySW
Ham or Spam	R	Python	ScalaSW <https://github.com/h2oai/sparkling-water/ blob/master/examples/src/main/scala/ai/h2o/ sparkling/examples/HamOrSpamDemo.scala>__	PySW
Prediction with Prostate Dataset	R	Python <https://github.com/h2oai/h2o-3/blob/ master/h2o-py/demos/prostate_gbm.ipynb>__	ScalaSW <https://github.com/h2oai/sparkling-water/ blob/master/examples/src/main/scala/ai/h2o/ sparkling/examples/ProstateDemo.scala>__	PySW
Craigslist Job Titles	R <https://github.com/h2oai/h2o-3/blob/master/ h2o-r/demos/ rdemo.word2vec.craigslistjobtitles.R>__	Python <https://github.com/h2oai/h2o-3/blob/ master/h2o-py/demos/ word2vec_craigslistjobtitles.ipynb>__	ScalaSW <https://github.com/h2oai/sparkling-water/ blob/master/examples/src/main/scala/ai/h2o/ sparkling/examples/CraigslistJobTitlesApp.scala>__	PySW

Security Features

Security Features for H2O-3

Architecture

H2O-3's Internal Architecture

Productionizing H2O-3

Production Recipes for H2O-3

Contribute to H2O-3

Contributing

Have any questions?

Reach out to the team on Stack Overflow or Gitter! Be sure to tag your Stack Overflow questions with h2o.

We recommend posting your question to Stack Overflow first. If you have a non-technical question that can't be answered on SO, then try reaching out to Gitter with your question.