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1
Introduction
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What is Elyra
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Motivation
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Pipeline Editor
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Pipeline Properties
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When to use components
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How to implement components
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Running a pipeline
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Runtime Environments
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Running the Pipeline
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Viewing the Pipeline Results
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Running the Pipeline Remotely
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Deployment Options
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Useful Links
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Questions
Description:
Explore how to build machine learning pipelines in JupyterLab using Elyra without writing code in this 42-minute conference talk by Patrick Titzler from IBM. Learn about Elyra's motivation, the Pipeline Editor, and pipeline properties. Discover when to use components and how to implement them effectively. Gain insights into running pipelines, configuring runtime environments, and viewing results. Understand the process of running pipelines remotely and explore various deployment options. The talk concludes with useful links and a Q&A session, providing a comprehensive overview of Elyra's capabilities for streamlining ML pipeline development in JupyterLab.

Building ML Pipelines in JupyterLab Using Elyra - Without Writing Code

Linux Foundation
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