getRules: parse a decision tree in randomForest into list of path as...
In katokohaku/featureTweakR: Calculate Actionable Feature Tweaking

Description Usage Arguments Value Examples

parse a decision tree in randomForest into list of path as data.frame

1	getRules(forest, ktree = NULL, resample = FALSE)

`forest`	an object of ensemble trees to be parsed. See `randomForest` or `xgboost`.
`ktree`	an integer. number of decision tree to be parsed. If ktree=NULL (default), all tree will be parsed.
`resample`	Logical. If TRUE, trees are ramdomly selected. If FALSE, trees are selected according to head(ktree) from forest.

a list of trees (list).

## Not run: 
X <- iris[, 1:(ncol(iris)-1)]
true.y <- iris[, ncol(iris)]

rf.iris <- randomForest(X, true.y, ntree=30)
getRules(rf.iris, ktree=15)

## End(Not run)