期刊
JOURNAL OF STATISTICAL SOFTWARE
卷 28, 期 5, 页码 1-26出版社
JOURNAL STATISTICAL SOFTWARE
DOI: 10.18637/jss.v028.i05
关键词
model building; tuning parameters; parallel processing; R; NetWorkSpaces
The caret package, short for classification and regression training, contains numerous tools for developing predictive models using the rich set of models available in R. The package focuses on simplifying model training and tuning across a wide variety of modeling techniques. It also includes methods for pre-processing training data, calculating variable importance, and model visualizations. An example from computational chemistry is used to illustrate the functionality on a real data set and to benchmark the bene fits of parallel processing with several types of models.
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