Cubist (version 0.4.4)

exportCubistFiles: Export Cubist Information To the File System

Description

For a fitted cubist object, text files consistent with the RuleQuest command-line version can be exported.

Usage

exportCubistFiles(x, neighbors = 0, path = getwd(), prefix = NULL)

Value

No value is returned. Three files are written out.

Arguments

x

a cubist() object

neighbors

how many, if any, neighbors should be used to correct the model predictions

path

the path to put the files

prefix

a prefix (or "filestem") for creating files

Author

Max Kuhn

Details

Using the RuleQuest specifications, model, names and data files are created for use with the command-line version of the program.

References

Quinlan. Learning with continuous classes. Proceedings of the 5th Australian Joint Conference On Artificial Intelligence (1992) pp. 343-348

Quinlan. Combining instance-based and model-based learning. Proceedings of the Tenth International Conference on Machine Learning (1993) pp. 236-243

Quinlan. C4.5: Programs For Machine Learning (1993) Morgan Kaufmann Publishers Inc. San Francisco, CA

http://rulequest.com/cubist-info.html

See Also

cubist(), predict.cubist(), summary.cubist(), predict.cubist()

Examples

library(mlbench)
data(BostonHousing)

mod1 <- cubist(x = BostonHousing[, -14], y = BostonHousing$medv)
exportCubistFiles(mod1, neighbors = 8, path = tempdir(), prefix = "BostonHousing")