Export Cubist Information To the File System
For a fitted cubist object, text files consistent with the RuleQuest command-line version can be exported.
exportCubistFiles(x, neighbors = 0, path = getwd(), prefix = NULL)
x
: a cubist()
objectneighbors
: how many, if any, neighbors should be used to correct the model predictionspath
: the path to put the filesprefix
: a prefix (or "filestem") for creating filesNo value is returned. Three files are written out.
Using the RuleQuest specifications, model
, names
and data
files are created for use with the command-line version of the program.
library(mlbench) data(BostonHousing) mod1 <- cubist(x = BostonHousing[, -14], y = BostonHousing$medv) exportCubistFiles(mod1, neighbors = 8, path = tempdir(), prefix = "BostonHousing")
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
cubist() , predict.cubist()
, summary.cubist()
, predict.cubist()
Max Kuhn
Useful links