Additional Resources¶
H2O Book (O’Reilly)
Algorithms¶
Supervised Learning |
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AutoML |
Booklet |
Tuning |
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Cox Proportional Hazards (CoxPH) |
Tutorial |
Booklet |
Tuning |
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Deep Learning (DL) |
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Distributed Random Forest (DRF) |
Booklet |
Tuning |
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Generalized Linear Modeling (GLM) |
Tuning |
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Maximum R Square Improvements (MAXR) |
Tutorial |
Booklet |
Tuning |
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Generalized Additive Models (GAM) |
Tutorial |
Booklet |
Tuning |
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ANOVA GLM |
Tutorial |
Booklet |
Tuning |
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Gradient Boosting Machine (GBM) |
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Naive Bayes |
Tutorial |
Booklet |
Tuning |
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Stacked Ensembles |
Booklet |
Tuning |
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Distributed Uplift Random Forest (Uplift DRF) |
Booklet |
Tuning |
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XGBoost |
Tutorial |
Booklet |
Tuning |
Unsupervised Learning |
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Aggregator |
Tutorial |
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Generalized Low Rank Models (GLRM) |
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K-Means Clustering |
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Isolation Forest |
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Principal Component Analysis (PCA) |
API Reference¶
Use Case Examples¶
Examples |
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Chicago Crime Prediction |
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Airline Delays Prediction |
PySW |
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Lending Club Load Prediction |
Python |
ScalaSW |
PySW |
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Ham or Spam |
R |
Python |
PySW |
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Prediction with Prostate Dataset |
R |
PySW |
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Craigslist Job Titles |
PySW |
Security Features¶
Security Features for H2O-3
Architecture¶
Productionizing H2O-3¶
Production Recipes for H2O-3
Contribute to H2O-3¶
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.