Cubist (version 0.3.0)

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)

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

Value

No value is returned. Three files are written out.

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

# NOT RUN {
library(mlbench)
data(BostonHousing)

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


# }