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https://github.com/zmjones/mmpf
Monte-Carlo methods for prediction functions
https://github.com/zmjones/mmpf
exploratory-data-analysis machine-learning r rstats
Last synced: 28 days ago
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Monte-Carlo methods for prediction functions
- Host: GitHub
- URL: https://github.com/zmjones/mmpf
- Owner: zmjones
- Created: 2016-11-03T23:32:08.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2021-10-15T15:02:49.000Z (about 3 years ago)
- Last Synced: 2024-10-01T16:36:57.686Z (about 1 month ago)
- Topics: exploratory-data-analysis, machine-learning, r, rstats
- Language: TeX
- Homepage:
- Size: 2.81 MB
- Stars: 11
- Watchers: 2
- Forks: 4
- Open Issues: 2
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
![](https://travis-ci.org/zmjones/mmpf.svg)
![](http://www.r-pkg.org/badges/version/mmpf)
![](http://cranlogs.r-pkg.org/badges/mmpf)**M**onte-Carlo **M**ethods for **P**rediction **F**unctions
Contains functions which create uniform, random, or user-specified grids and then evaluates marginalized prediction functions on them (e.g., partial dependence). Also contains functions to compute permutation importance.