https://github.com/zachmayer/caretEnsemble

caret models all the way down :turtle:
https://github.com/zachmayer/caretEnsemble

Last synced: about 2 months ago
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caret models all the way down :turtle:

• Host: GitHub
• URL: https://github.com/zachmayer/caretEnsemble
• Owner: zachmayer
• License: other
• Created: 2013-03-01T21:10:22.000Z (over 11 years ago)
• Default Branch: main
• Last Pushed: 2024-08-01T22:40:12.000Z (about 2 months ago)
• Last Synced: 2024-08-02T00:20:42.872Z (about 2 months ago)
• Language: HTML
• Homepage:
• Size: 16.7 MB
• Stars: 226
• Watchers: 27
• Forks: 75
• Open Issues: 61
• Metadata Files:
  • Readme: README.md
  • Changelog: NEWS.md
  • Contributing: .github/CONTRIBUTING.md
  • License: LICENSE

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README

        
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# caretEnsemble: [(Read the vignette!)](https://htmlpreview.github.io/?https://github.com/zachmayer/caretEnsemble/blob/master/doc/caretEnsemble-intro.html)

Framework for fitting multiple [caret models](https://github.com/topepo/caret) using the same re-sampling strategy as well as creating ensembles of such models. Use `caretList` to fit multiple models, and then use `caretStack` to stack them using a caret model.

caretEnsemble was inspired by [medley](https://github.com/mewo2/medley), which in turn was inspired by Caruana et. al.'s (2004) paper [Ensemble Selection from Libraries of Models.](http://www.cs.cornell.edu/~caruana/ctp/ct.papers/caruana.icml04.icdm06long.pdf)

If you want to do something similar in python, check out [vecstack](https://github.com/vecxoz/vecstack)

# Install the stable version from [CRAN](https://CRAN.R-project.org/package=caretEnsemble/):

```{R}

install.packages('caretEnsemble')

```

# Install the dev version from github:

```{R}

devtools::install_github('zachmayer/caretEnsemble')

```

There are also tagged versions of caretEnsemble on github you can install via devtools. For example, to install the original draft of the API:

```{R}

devtools::install_github('zachmayer/[email protected]')

```

caretEnsemble has changed a bit over the years, so the tags let you use older versions of the package (e.g. if you want to use greedy ensembling).

# Code of Conduct:

Please note that this project is released with a [Contributor Code of Conduct](https://github.com/zachmayer/caretEnsemble/blob/master/.github/CONTRIBUTING.md). By participating in this project you agree to abide by its terms.

# Package development

This packages uses a Makefile. Run `make all` to run linting, tests, test coverage, and R CMD CHECK. This is helpful for locally debugging PR failures.