plot.SDForest | R Documentation |
This plot helps to analyze whether enough trees were used. If the loss does not stabilize one can fit another SDForest and merge the two.
## S3 method for class 'SDForest'
plot(x, ...)
x |
Fitted object of class |
... |
Further arguments passed to or from other methods. |
A ggplot object
Markus Ulmer
SDForest
set.seed(1)
n <- 10
X <- matrix(rnorm(n * 5), nrow = n)
y <- sign(X[, 1]) * 3 + rnorm(n)
model <- SDForest(x = X, y = y, Q_type = 'no_deconfounding', cp = 0.5, nTree = 500)
plot(model)
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