exportCubistFiles: Export Cubist Information To the File System
In Cubist: Rule- and Instance-Based Regression Modeling

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/exportCubistFiles.R

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

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

`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

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

No value is returned. Three files are written out.

Max Kuhn

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

cubistcubistControl, predict.cubist, summary.cubist, predict.cubist

library(mlbench)
data(BostonHousing)

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