2.2.10
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
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
H2O Sparkling Water
Docs
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How to…
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How to…
¶
General
Extending H2O Jar Manually
Calling H2O Algorithms
Running Sparkling Water
Changing the Default Port
Use Sparkling Water in Windows Environments
Security
Enabling SSL
Enabling LDAP
Configuring LDAP in Scala
Configuring LDAP in Python (PySparkling)
Frames Conversions and Creation
Spark Frame <–> H2O Frame Conversions
Converting an H2OFrame into an RDD[T]
Converting an H2OFrame into a DataFrame
Converting an RDD[T] into an H2OFrame
Converting a DataFrame into an H2OFrame
H2O Frame as Spark’s Data Source
Usage in Python - PySparkling
Usage in Scala
Specifying Saving Mode
Creating H2OFrame from an Existing Key
Logging
Change Sparkling Shell Logging Level
Change Sparkling Shell Logs Location
Client
Worker Nodes
Obtain Sparkling Water Logs
Logs for Sparkling Water on YARN
Logs for Standalone Sparkling Water
Databricks
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
Zeppelin
Sparkling Water and Zeppelin
Launch Zeppelin with Sparkling Water
Using Zeppelin
As Spark Package
Use Sparkling Water via Spark Packages