| predict.custom_forest {grf} | R Documentation |
Predict with a custom forest.
## S3 method for class 'custom_forest' predict(object, newdata = NULL, num.threads = NULL, ...)
object |
The trained forest. |
newdata |
Points at which predictions should be made. If NULL, makes out-of-bag predictions on the training set instead (i.e., provides predictions at Xi using only trees that did not use the i-th training example). |
num.threads |
Number of threads used in training. If set to NULL, the software automatically selects an appropriate amount. |
... |
Additional arguments (currently ignored). |
Vector of predictions.
## Not run: # Train a custom forest. n = 50; p = 10 X = matrix(rnorm(n*p), n, p) Y = X[,1] * rnorm(n) c.forest = custom_forest(X, Y) # Predict using the forest. X.test = matrix(0, 101, p) X.test[,1] = seq(-2, 2, length.out = 101) c.pred = predict(c.forest, X.test) ## End(Not run)