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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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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

Exploring the Spark NLP package

Spark NLP is an open source library for NLP released by John Snow Labs. It supports different programming languages, including Python, Java, and Scala. Spark NLP is widely used in production, since it is natively integrated with Apache Spark, a multi-language engine for large-scale analytics.

Spark NLP provides more than 50 features, including tokenization, NER, and sentiment analysis.

In this section, you will investigate the following aspects:

  • Introducing the Spark NLP package
  • Integrating Spark NLP with Comet

Let’s start from the first point, introducing the Spark NLP package.

Introducing the Spark NLP package

Spark NLP is an open source library built on top of Apache Spark and Spark ML (a machine learning library implemented on top of Apache Spark). The Spark NLP library provides almost all the NLP tasks, including tokenization, stemming, lemmatization, PoS tagging, sentiment analysis, spellchecking, and NER...

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