iml (version 0.3.0)

predict.TreeSurrogate: Predict Tree Surrogate

Description

Predict the response for newdata of a TreeSurrogate object.

Usage

# S3 method for TreeSurrogate
predict(object, newdata, type = "prob", ...)

Arguments

object

The surrogate tree. A TreeSurrogate R6 object

newdata

A data.frame for which to predict

type

Either "prob" or "class". Ignored if the surrogate tree does regression.

...

Further argumets for predict_party

Value

A data.frame with the predicted outcome. In case of regression it is the predicted $\hat{y}$. In case of classification it is either the class probabilities (for type "prob") or the class label (type "class")

Details

This function makes the TreeSurrogate object call its iternal object$predict() method.

See Also

TreeSurrogate

Examples

# NOT RUN {
if (require("randomForest")) {
# Fit a Random Forest on the Boston housing data set
data("Boston", package  = "MASS")
rf = randomForest(medv ~ ., data = Boston, ntree = 50)
# Create a model object
mod = Predictor$new(rf, data = Boston[-which(names(Boston) == "medv")]) 

# Fit a decision tree as a surrogate for the whole random forest
dt = TreeSurrogate$new(mod)

# Plot the resulting leaf nodes
predict(dt, newdata = Boston)
} 
# }