Skip to Content
Comet for Data Science
book

Comet for Data Science

by Angelica Lo Duca
August 2022
Beginner to intermediate
402 pages
8h 42m
English
Packt Publishing
Content preview from Comet for Data Science

Chapter 4: Workspaces, Projects, Experiments, and Models

Comet is an experimentation platform that permits you to track, monitor, and compare experiments within a data science project. So far, you have learned some basic concepts, including how to create and deal with workspaces, projects, experiments, panels, and reports. You have also learned how to compare experiments, customize panels, and store models in the Comet Registry.

In this chapter, you will deepen your understanding of some concepts regarding Comet, including how to add collaborators to your workspaces or projects, how to publish your projects, advanced techniques to manage experiments, and how to perform parameter optimization in Comet. In addition, you will learn how to implement ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Mark W.
Embedded Software Engineer

You might also like

Productive and Efficient Data Science with Python: With Modularizing, Memory profiles, and Parallel/GPU Processing

Productive and Efficient Data Science with Python: With Modularizing, Memory profiles, and Parallel/GPU Processing

Tirthajyoti Sarkar
The Human Factor in AI-Based Decision-Making

The Human Factor in AI-Based Decision-Making

Philip Meissner, Christoph Keding
Coaching for High Performance

Coaching for High Performance

MIT Sloan Management Review

Publisher Resources

ISBN: 9781801814430