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Implementing Splunk 7, Third Edition

You're reading from   Implementing Splunk 7, Third Edition Effective operational intelligence to transform machine-generated data into valuable business insight

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788836289
Length 576 pages
Edition 3rd Edition
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Author (1):
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James D. Miller James D. Miller
Author Profile Icon James D. Miller
James D. Miller
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Table of Contents (15) Chapters Close

Preface 1. The Splunk Interface FREE CHAPTER 2. Understanding Search 3. Tables, Charts, and Fields 4. Data Models and Pivots 5. Simple XML Dashboards 6. Advanced Search Examples 7. Extending Search 8. Working with Apps 9. Building Advanced Dashboards 10. Summary Indexes and CSV Files 11. Configuring Splunk 12. Advanced Deployments 13. Extending Splunk 14. Machine Learning Toolkit

Extended SPL (search processing language)

The Splunk Machine Learning Toolkit contains numerous custom search commands, referred to as ML-SPL commands, that implement standard machine learning tasks. You can use these commands on any Splunk platform instance on which the Splunk Machine Learning Toolkit is installed.

These commands are fit, apply, summary, listmodels, deletemodel, and sample:

  • fit: This command is used to apply a machine learning model to Splunk data search results
  • apply: This is used to calculate predictions for the current search results based on a model that was learned by the fit command
  • summary: This generates a summary of a machine learning model that was learned using the fit command
  • listmodels: This command is used to create a list of machine learning models that were learned using the fit command
  • deletemodel: Used to delete a machine learning model that...
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