Overview¶
Welcome to the H2O Sparkling Water documentation site! This document describes how to install and run Sparkling Water.
Depending on your area of interest, select a learning path from the sidebar, or look at the full content outline below. To view Sparkling Water examples, please visit the Sparkling Water GitHub repository at https://github.com/h2oai/sparkling-water/tree/master/examples.
Have questions about Sparkling Water? Post them on Stack Overflow using the sparkling-water tag, or join the chat on Gitter.
Contents
- About Sparkling Water
- Typical Use Case
- Sparkling Water Requirements
- Design
- Configuration
- Deployment
- How to…
- Extending H2O Jar Manually
- Calling H2O Algorithms
- Running Sparkling Water
- Changing the Default Port
- Use Sparkling Water in Windows Environments
- Enabling SSL
- Enabling LDAP
- Spark Frame <–> H2O Frame Conversions
- H2O Frame as Spark’s Data Source
- Creating H2OFrame from an Existing Key
- Using Grid Search GBM in Spark Pipelines
- Change Sparkling Shell Logging Level
- Change Sparkling Shell Logs Location
- Obtain Sparkling Water Logs
- Download H2O Logs from Databricks Cloud
- Running RSparkling on Databricks Azure Cluster
- Running Sparkling Water on Databricks Azure Cluster
- Running PySparkling on Databricks Azure Cluster
- Sparkling Water and Zeppelin
- Use Sparkling Water via Spark Packages
- Development
- PySparkling
- RSparkling
- Frequently Asked Questions
- Change Log