Logo
3.46.0.6-1-2.3
  • About Sparkling Water
  • Typical Use Case
  • Sparkling Water Requirements
  • Installing and Starting
  • Design
  • Configuration
  • Deployment
    • Sparkling Water Backends
    • Importing H2O MOJOs from H2O-3
    • Importing MOJO Pipelines from Driverless AI
    • Deploying PySparkling Pipeline Models
    • Use Sparkling Water with Amazon EMR
    • Use Sparkling Water with Amazon EMR from the Edge Node
    • Start Sparkling Water on Amazon EMR using our Terraform Template
    • Running Sparkling Water on Databricks Azure Cluster
    • Running RSparkling on Databricks Azure Cluster
    • Running PySparkling on Databricks Azure Cluster
    • Download H2O Logs from Databricks Cloud
    • Running Sparkling Water on Google Cloud Dataproc
    • Using Sparkling Water with Microsoft Azure HDInsight - Beta
    • Use Sparkling Water in Windows Environments
    • Use RSparkling in Windows Environments
    • Sparkling Water and Zeppelin
  • Machine Learning
  • Metric Classes
  • Model Details
  • Algorithm Parameters
  • How to…
  • Development
  • PySparkling
  • RSparkling
  • Migration Guide
  • Frequently Asked Questions
  • Change Log
  • Change Log
H2O Sparkling Water
  • »
  • Deployment
  • View page source

Deployment¶

  • Sparkling Water Backends
    • Internal Backend
    • External Backend
  • Importing H2O MOJOs from H2O-3
    • Starting a Scoring Environment
    • Loading and Usage of H2O-3 MOJO Model
    • Exporting the loaded MOJO model using Sparkling Water
    • Importing the previously exported MOJO model from Sparkling Water
    • Accessing additional prediction details
    • Customizing the MOJO Settings
    • Methods available on MOJO Model
  • Importing MOJO Pipelines from Driverless AI
    • Requirements
    • Starting a Scoring Environment
    • Loading and Usage of Driverless AI MOJO Model
    • Predictions Format
    • Overriding MOJO library
    • Customizing the MOJO Settings
    • Troubleshooting
  • Deploying PySparkling Pipeline Models

Amazon EMR

  • Use Sparkling Water with Amazon EMR
  • Use Sparkling Water with Amazon EMR from the Edge Node
  • Start Sparkling Water on Amazon EMR using our Terraform Template

Databricks

  • Running Sparkling Water on Databricks Azure Cluster
  • Running RSparkling on Databricks Azure Cluster
  • Running PySparkling on Databricks Azure Cluster
  • Download H2O Logs from Databricks Cloud

Google Cloud Dataproc

  • Running Sparkling Water on Google Cloud Dataproc

HD Insight

  • Using Sparkling Water with Microsoft Azure HDInsight - Beta
    • H2O Artificial Intelligence for Azure HDInsight

Windows

  • Use Sparkling Water in Windows Environments
  • Use RSparkling in Windows Environments
    • Prepare Spark Environment
    • Prepare R Environment
    • Test the Functionality
    • Troubleshooting
    • References

Zeppelin

  • Sparkling Water and Zeppelin
    • Launch Zeppelin with Sparkling Water
    • Using Zeppelin
Next Previous

© Copyright 2016-2020 H2O.ai. Last updated on Nov 19, 2024.

Built with Sphinx using a theme provided by Read the Docs.