https://github.com/AppliedDataSciencePartners/xgboostExplainer

An R package that makes xgboost models fully interpretable
https://github.com/AppliedDataSciencePartners/xgboostExplainer

Last synced: 9 months ago
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An R package that makes xgboost models fully interpretable

• Host: GitHub
• URL: https://github.com/AppliedDataSciencePartners/xgboostExplainer
• Owner: AppliedDataSciencePartners
• License: gpl-3.0
• Created: 2017-09-28T00:08:33.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2018-06-18T12:42:37.000Z (over 7 years ago)
• Last Synced: 2024-04-20T00:12:30.476Z (over 1 year ago)
• Language: R
• Size: 44.9 KB
• Stars: 246
• Watchers: 22
• Forks: 74
• Open Issues: 22
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-machine-learning-interpretability - xgboostExplainer -  | "An R package that makes xgboost models fully interpretable. | (Technical Resources / Open Source/Access Responsible AI Software Packages)

README

          
# xgboostExplainer

An R package that makes xgboost models fully interpretable