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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

Setting up the environment for Spark NLP

Since Spark NLP runs on Apache Spark, you need to first set up Apache Spark to make Spark NLP work properly. Apache Spark requires Java to run properly; thus, you also need to install Java. Optionally, you can install Scala, another programming language.

To install Spark NLP, you should install the following frameworks and libraries:

  • Python
  • Java
  • Scala (optional)
  • Apache Spark
  • PySpark and Spark NLP

We have already installed Python following the procedure described in the Technical requirements section, so we can start installing the software from the second step, Java.

Installing Java

Spark NLP is built at the top of Apache Spark, which can be installed on any operating system supporting Java. Apache Spark requires Java 8 to work properly:

  1. To verify whether Java is already installed on your computer, as well as its current version, you can open a terminal and run the following command:
    Java –...
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