You're reading from Azure Data Scientist Associate Certification Guide

Product typeBook

Published inDec 2021

Reading LevelBeginner

PublisherPackt

ISBN-139781800565005

Edition1st Edition

Languages

Python

Tools

Azure Functions

Concepts

Machine Learning

Authors (2):

Andreas Botsikas

Michael Hlobil

View More author details

Monitoring the execution of the experiment

In the previous section, Configuring an Automated ML experiment, you submitted an AutoML experiment to execute on a remote compute cluster. Once you have submitted the job, your browser should redirect you to a page similar to the following:

Figure 5.15 – Running a new Automated ML run for the first time since the run finished

At the top of the page, the name of the run of the experiment is autogenerated. In the preceding screenshot, it is called AutoML_05558d1d-c8ab-48a5-b652-4d47dc102d29. By clicking the pencil icon, you can edit this name and make it something more memorable. Change the name to my-first-experiment-run. Right below the run's name, you can click on one of the following commands:

Refresh: This will refresh the information provided on the page. While running an experiment, you can get the latest and greatest information.
Generate notebook: This will create a notebook with all...

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Azure Data Scientist Associate Certification Guide

Published in: Dec 2021Publisher: PacktISBN-13: 9781800565005

Authors (2)

Andreas Botsikas

Andreas Botsikas is an experienced advisor working in the software industry. He has worked in the finance sector, leading highly efficient DevOps teams, and architecting and building high-volume transactional systems. He then traveled the world, building AI-infused solutions with a group of engineers and data scientists. Currently, he works as a trusted advisor for customers onboarding into Azure, de-risking and accelerating their cloud journey. He is a strong engineering professional with a Doctor of Philosophy (Ph.D.) in resource optimization with artificial intelligence from the National Technical University of Athens.
Read more about Andreas Botsikas

Michael Hlobil

Michael Hlobil is an experienced architect focused on quickly understanding customers' business needs, with over 25 years of experience in IT pitfalls and successful projects, and is dedicated to creating solutions based on the Microsoft Platform. He has an MBA in Computer Science and Economics (from the Technical University and the University of Vienna) and an MSc (from the ESBA) in Systemic Coaching. He was working on advanced analytics projects in the last decade, including massive parallel systems and Machine Learning systems. He enjoys working with customers and supporting the journey to the cloud.
Read more about Michael Hlobil

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Monitoring the execution of the experiment

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