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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

Technical requirements

We will run all the experiments and codes in this chapter using Python 3.8. You can download it from the official website, https://www.python.org/downloads/, choosing the 3.8 version.

The examples described in this chapter use the following Python packages:

  • comet-ml 3.23.0
  • matplotlib 3.2.2
  • numpy 1.21.6
  • pandas 1.3.4
  • prophet 1.1
  • scikit-learn 1.0
  • statsmodels 0.13.2

We have already described the comet-ml, matplotlib, NumPy, pandas, and scikit-learn packages and how to install them in Chapter 1, An Overview of Comet, so please refer to that for further details on installation.

In this section, you will see how to install the other required packages.

Prophet

Prophet is an open source Python package for time series analysis. You can install it as follows:

pip install prophet

For more details about Prophet installation, you can read its official documentation, available at the following link: https://facebook...

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