predict.LocalModel {iml} | R Documentation |
Predict LocalModel
Description
Predict the response for newdata with the LocalModel model.
Usage
## S3 method for class 'LocalModel'
predict(object, newdata = NULL, ...)
Arguments
object |
A LocalModel R6 object |
newdata |
A data.frame for which to predict |
... |
Further arguments for the objects predict function |
Value
A data.frame with the predicted outcome.
See Also
Examples
library("randomForest")
# First we fit a machine learning model on the Boston housing data
data("Boston", package = "MASS")
X <- Boston[-which(names(Boston) == "medv")]
rf <- randomForest(medv ~ ., data = Boston, ntree = 50)
mod <- Predictor$new(rf, data = X)
# Explain the first instance of the dataset with the LocalModel method:
x.interest <- X[1, ]
lemon <- LocalModel$new(mod, x.interest = x.interest, k = 2)
predict(lemon, newdata = x.interest)
[Package iml version 0.11.3 Index]