Gradient Boosted Models with H2O's R Package
Gradient Boosted Models with H2O's R Package
About the Book
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About the Author
Table of Contents
- Copyright Information
- What is H2O?
- Introduction
-
Installation
- Installing R or R Studio
- Installing H2O in R
- Making a Build from Source Code
-
H2O Initialization
- H2O Initialization Parameters
- Launching from R
- Launching from the Command Line
- Launching on Hadoop
- Checking Cluster Status
- Support
- Gradient Boosting Overview
- Summary of Features
- Common Model Parameters
- Theory and Framework
- Loss Function
- Distributed Trees
- Treatment of Factors
- Key Parameters
-
Use Case: Classification with Airline Data
- Airline Dataset Overview
- Loading Data
- Performing a Trial Run
- Extracting and Handling the Results
- Web Interface
- Variable Importances
- Supported Output
- Java Model
- Grid Search for Model Comparison
- Conclusion
- References
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