2.3.0
  • 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
H2O Sparkling Water
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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

Spark Pipelines

  • Using Grid Search GBM in Spark Pipelines
    • Prepare the environment
    • Define the Pipeline Stages
    • Create and Train the Pipeline
    • Run Predictions

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
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