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

Product type Paperback

Published in Jul 2022

Publisher Packt

ISBN-13 9781800566019

Length 396 pages

Edition 1st Edition

Tools

H2O

Concepts

Machine Learning

Authors (2):

Gregory Keys

David Whiting

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Table of Contents (22) Chapters

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

H2O-3 cluster in the 90-day free trial environment for H2O AI Cloud

Here, you must interact with Enterprise Steam to run H2O-3. In this case, you will install the h2osteam module in your Python client environment in addition to the h2o module as we did when running H2O-3 locally.

Step 1 – Get your 90-day trial to H2O AI Cloud

Get your trial access to H2O AI Cloud here: https://h2o.ai/freetrial.

When you have completed all steps and can log in to H2O AI Cloud, then we can start running H2O-3 clusters as part of the H2O AI Cloud platform. Here are the next steps.

Step 2 – Set up your Python environment

To set up your Python client environment, perform the following steps:

Log in to H2O AI Cloud and click on the My AI Engines tab. This will take you to Enterprise Steam, as shown in the following screenshot. From there, download the h2osteam library by clicking on the Python Client option from the sidebar:

Figure 15.1 –...

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

Table of Contents (22) Chapters

H2O-3 cluster in the 90-day free trial environment for H2O AI Cloud

Step 1 – Get your 90-day trial to H2O AI Cloud

Step 2 – Set up your Python environment

Unlock this book and the full library FREE for 7 days

Authors (2)

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