caret R Package
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A caret R Package is a decision tree learning tool that is an R package.
- …
- Counter-Example(s):
- See: scikit-learn, Predictive Modeling Tool.
References
2016
- http://caret.r-forge.r-project.org/
- QUOTE: The caret package (short for Classification And REgression Training) is a set of functions that attempt to streamline the process for creating predictive models. The package contains tools for:
- data splitting.
- pre-processing.
- feature selection.
- model tuning using resampling.
- variable importance estimation
- as well as other functionality.
These package documentation pages are now hosted on guthub. R-Forge help pages should automatically forward but, if they don't, please let me know.
There are many different modeling functions in R. Some have different syntax for model training and/or prediction. The package started off as a way to provide a uniform interface the functions themselves, as well as a way to standardize common tasks (such parameter tuning and variable importance).
- QUOTE: The caret package (short for Classification And REgression Training) is a set of functions that attempt to streamline the process for creating predictive models. The package contains tools for: