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Comet for Data Science

You're reading from   Comet for Data Science Enhance your ability to manage and optimize the life cycle of your data science project

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781801814430
Length 402 pages
Edition 1st Edition
Tools
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Author (1):
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Angelica Lo Duca Angelica Lo Duca
Author Profile Icon Angelica Lo Duca
Angelica Lo Duca
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Toc

Table of Contents (16) Chapters Close

Preface 1. Section 1 – Getting Started with Comet
2. Chapter 1: An Overview of Comet FREE CHAPTER 3. Chapter 2: Exploratory Data Analysis in Comet 4. Chapter 3: Model Evaluation in Comet 5. Section 2 – A Deep Dive into Comet
6. Chapter 4: Workspaces, Projects, Experiments, and Models 7. Chapter 5: Building a Narrative in Comet 8. Chapter 6: Integrating Comet into DevOps 9. Chapter 7: Extending the GitLab DevOps Platform with Comet 10. Section 3 – Examples and Use Cases
11. Chapter 8: Comet for Machine Learning 12. Chapter 9: Comet for Natural Language Processing 13. Chapter 10: Comet for Deep Learning 14. Chapter 11: Comet for Time Series Analysis 15. Other Books You May Enjoy

First use case – offline and existing experiments

In Chapter 1, An Overview of Comet, you built a simple use case that permitted you to track images in Comet. The example used 52 time series indicators related to gross domestic product (GDP) in Italy, built 52 images, and uploaded them to Comet.

During the experiment, you will surely have noticed that the loading of the images in Comet was quite slow, depending on the bandwidth available in your internet connection. In this example, you will see how to use the concepts of offline and existing experiments to make the loading process smoother. You will also see how an existing experiment can be improved at a later time.

In this example, we suppose that the code implemented in Chapter 1, An Overview of Comet, for the first use case is running. Thus, please refer to it for further details.

The full code of this example is available in the GitHub repository, at the following link: https://github.com/PacktPublishing/Comet...

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