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Published October 17, 2022 | Version v1.4.0
Software Open

SchlossLab/mikropml: mikropml 1.4.0

Creators

  • 1. @SchlossLab
  • 2. Bristol Myers Squibb
  • 3. University of Michigan
  • 4. University of Nevada
  • 5. University of Michigan Medical School

Description

  • Extra arguments given to run_ml() are now forwarded to caret::train() (#304, @kelly-sovacool).
    • Users can now pass any model-specific arguments (e.g. weights) to caret::train(), allowing greater flexibility.
  • Improved tests (#298, #300, #303 #kelly-sovacool)
  • Minor documentation improvements.

Full Changelog: https://github.com/SchlossLab/mikropml/compare/v1.3.0...v1.4.0

Files

SchlossLab/mikropml-v1.4.0.zip

Files (5.5 MB)

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md5:577e44a9cbcd74194761ade337a107c6
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Additional details

Related works

Is supplement to
https://github.com/SchlossLab/mikropml/tree/v1.4.0 (URL)