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 |
|
Generalized Additive Models (GAM) |
Tutorial |
Booklet |
Tuning |
|
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.