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