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3.46.0.6-1-3.0
  • About Sparkling Water
  • Typical Use Case
  • Sparkling Water Requirements
  • Installing and Starting
  • Design
  • Configuration
  • Deployment
  • Machine Learning
  • Metric Classes
  • Model Details
  • Algorithm Parameters
  • How to…
    • Running Sparkling Water
    • Changing the Default Port
    • Hive Support in Sparkling Water
    • Sparkling Water Logging
    • Enabling SSL
    • Enabling LDAP
    • Enabling Kerberos Authentication
    • Running Sparkling Water on Kerberized Hadoop Cluster
    • Using SSL to secure H2O Flow UI
    • Proxy Only Authentication
    • Spark Frame <–> H2O Frame Conversions
    • H2O Frame as Spark’s Data Source
    • Import & Export H2O Frames from/to S3
    • Use Sparkling Water via Spark Packages
  • Development
  • PySparkling
  • RSparkling
  • Migration Guide
  • Frequently Asked Questions
  • Change Log
  • Change Log
H2O Sparkling Water
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  • How to…
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How to…¶

General

  • Running Sparkling Water
  • Changing the Default Port
  • Hive Support in Sparkling Water
  • Sparkling Water Logging

Security

  • Enabling SSL
    • Using Automatically Generated Security Files
    • Using Manually Generated Security Files
  • Enabling LDAP
    • Configuring LDAP in Scala
    • Configuring LDAP in Python (PySparkling)
    • Proxy only mode
  • Enabling Kerberos Authentication
    • Configuring Kerberos Auth in Scala
    • Configuring Kerberos Auth in Python (PySparkling)
  • Running Sparkling Water on Kerberized Hadoop Cluster
    • Internal Backend
    • External Backend
  • Using SSL to secure H2O Flow UI
    • Using existing Java Keystore
    • Generate the files automatically
  • Proxy Only Authentication
    • Configuring “Proxy Only” mode

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
    • Reading Spark Data Frame from H2O Frame
    • Saving H2O Frame as Spark Data Frame
    • Loading & Saving Options
    • Specifying Saving Mode
  • Import & Export H2O Frames from/to S3
    • Specify the AWS Dependencies
    • Configuring S3A
    • Configuring S3N
    • Sparkling Water Example Code
    • PySparkling Example Code

As Spark Package

  • Use Sparkling Water via Spark Packages
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