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Machine Learning at Scale with H2O

You're reading from   Machine Learning at Scale with H2O A practical guide to building and deploying machine learning models on enterprise systems

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Product type Paperback
Published in Jul 2022
Publisher Packt
ISBN-13 9781800566019
Length 396 pages
Edition 1st Edition
Tools
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Authors (2):
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Gregory Keys Gregory Keys
Author Profile Icon Gregory Keys
Gregory Keys
David Whiting David Whiting
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David Whiting
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Toc

Table of Contents (22) Chapters Close

Preface 1. Section 1 – Introduction to the H2O Machine Learning Platform for Data at Scale
2. Chapter 1: Opportunities and Challenges FREE CHAPTER 3. Chapter 2: Platform Components and Key Concepts 4. Chapter 3: Fundamental Workflow – Data to Deployable Model 5. Section 2 – Building State-of-the-Art Models on Large Data Volumes Using H2O
6. Chapter 4: H2O Model Building at Scale – Capability Articulation 7. Chapter 5: Advanced Model Building – Part I 8. Chapter 6: Advanced Model Building – Part II 9. Chapter 7: Understanding ML Models 10. Chapter 8: Putting It All Together 11. Section 3 – Deploying Your Models to Production Environments
12. Chapter 9: Production Scoring and the H2O MOJO 13. Chapter 10: H2O Model Deployment Patterns 14. Section 4 – Enterprise Stakeholder Perspectives
15. Chapter 11: The Administrator and Operations Views 16. Chapter 12: The Enterprise Architect and Security Views 17. Section 5 – Broadening the View – Data to AI Applications with the H2O AI Cloud Platform
18. Chapter 13: Introducing H2O AI Cloud 19. Chapter 14: H2O at Scale in a Larger Platform Context 20. Other Books You May Enjoy Appendix : Alternative Methods to Launch H2O Clusters

Local H2O-3 cluster

This is the easiest method to run H2O-3 and is suitable for the small datasets used in code samples in this book. It launches H2O-3 on your local machine (versus an enterprise cluster environment) and does not involve H2O Enterprise Steam.

First, we will perform a one-time setup of our H2O-3 Python environment.

Step 1 – Install H2O-3 in Python

To set up your H2O-3 Python client, simply install three module dependencies in your Python environment and then the h2o-3 Python module. You must use Python 2.7.x, 3.5.x, 3.6.x, or 3.7.x.

More specifically, do the following:

  1. Install dependencies in your Python environment:
    pip install requests
    pip install tabulate
    pip install future 
  2. Install the H2O-3 library in your Python environment:
    pip install h2o

Please refer to http://h2o-release.s3.amazonaws.com/h2o/rel-zumbo/1/index.html (the INSTALL IN PYTHON tab) to install H2O-3 in Conda.

You are now ready to run H2O-3 locally. Let&apos...

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