https://github.com/unixjunkie/orrandomforest

OCaml wrapper to the R randomForest package
https://github.com/unixjunkie/orrandomforest

bagging classification feature-importance ocaml-library r random-forest regression

Last synced: 2 months ago
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OCaml wrapper to the R randomForest package

• Host: GitHub
• URL: https://github.com/unixjunkie/orrandomforest
• Owner: UnixJunkie
• License: other
• Created: 2018-07-20T03:44:43.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2022-04-15T07:56:05.000Z (about 4 years ago)
• Last Synced: 2025-01-31T09:31:29.074Z (over 1 year ago)
• Topics: bagging, classification, feature-importance, ocaml-library, r, random-forest, regression
• Language: OCaml
• Size: 374 KB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# orrandomForest

OCaml wrapper to the R randomForest package

Can be used for classification or regression.

Features importance can be extracted out of a trained model.

Warning: any sparse matrix read in .csr format is converted to a dense matrix,

         because the R package randomForest doesn't support sparse matrices.