Search icon
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Automated Machine Learning with Microsoft Azure

You're reading from  Automated Machine Learning with Microsoft Azure

Product type Book
Published in Apr 2021
Publisher Packt
ISBN-13 9781800565319
Pages 340 pages
Edition 1st Edition
Languages
Author (1):
Dennis Michael Sawyers Dennis Michael Sawyers
Profile icon Dennis Michael Sawyers

Table of Contents (17) Chapters

Preface Section 1: AutoML Explained – Why, What, and How
Chapter 1: Introducing AutoML Chapter 2: Getting Started with Azure Machine Learning Service Chapter 3: Training Your First AutoML Model Section 2: AutoML for Regression, Classification, and Forecasting – A Step-by-Step Guide
Chapter 4: Building an AutoML Regression Solution Chapter 5: Building an AutoML Classification Solution Chapter 6: Building an AutoML Forecasting Solution Chapter 7: Using the Many Models Solution Accelerator Section 3: AutoML in Production – Automating Real-Time and Batch Scoring Solutions
Chapter 8: Choosing Real-Time versus Batch Scoring Chapter 9: Implementing a Batch Scoring Solution Chapter 10: Creating End-to-End AutoML Solutions Chapter 11: Implementing a Real-Time Scoring Solution Chapter 12: Realizing Business Value with AutoML Other Books You May Enjoy

Scoring new data for many models

Scoring new data with the MMSA is a fairly straightforward task. Once you have your models trained, simply navigate to the correct notebook, change your variables to match your training notebook, and click the run button. As there are very few settings to alter compared to the training notebook, it's even easier to use with your own code.

In this section, like the others, first you will run the out-of-the-box scoring notebook with OJ Sales. Then, you will create a new notebook to score the sample data.

Scoring OJ sales data with the MMSA

To score OJ Sales data with the multiple models you've trained, follow these steps:

  1. From the solution-accelerator-many-models folder, open the Automated_ML folder.
  2. From the Automated_ML folder, open the 03_AutoML_Forecasting_Pipeline folder.
  3. Open 03_AutoML_Forecasting_Pipeline.ipynb.
  4. Run all of the cells in section 1.0. These cells set up your AMLS workspace, compute cluster...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime}