Tutorial 4C: Scoring Pipeline Deployment in Java Runtime

Learn how to predict the cooling condition for a Hydraulic System Test Ring by deploying an embeddable MOJO Scoring Pipeline into JavaRuntime using Java, Sparkling Water, and PySparkling.

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Objective
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Select the "Read" button to begin. Understand the objective of the tutorial.
Prerequisites
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Select the "Read" button to begin. Understand the prerequisites of this tutorial.
Task 1: Set Up Environment
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Select the "Read" button to begin. Learn how to set up the environment for your experiment.
Task 2: Deploy Scoring Pipeline in Java Runtime Concepts
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Select the "Read" button to begin. Deploy scoring pipeline in Java Runtime concepts.
Task 3: Batch Scoring
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Select the "Read" button to begin. Learn how to execute the MOJO scoring pipeline in the Java Runtime environment using Java, PySparkling, and Sparkling Water.
Task 4: Interactive Scoring
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Select the "Read" button to begin. Learn how to build a Java, PySparkling, and Sparkling Water program to execute the mojo to do interactive scoring on individual Hydraulic System rows.
Task 5: Challenge
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Select the "Read" button to begin. Explore several challenges beyond this tutorial.
Next Steps
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Select the "Read" button to begin. Explore what's next in the Model Deployment tutorials.
Appendix A: Glossary
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Select the "Read" button to begin. Explore the H2O.ai AI Glossary.
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