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Calculate which features the forest split on at each depth.
split_frequencies(forest, max.depth = 4)
A matrix of split depth by feature index, where each value is the number of times the feature was split on at that depth.
The trained forest.
Maximum depth of splits to consider.
# \donttest{
# Train a quantile forest.
n <- 250
p <- 10
X <- matrix(rnorm(n * p), n, p)
Y <- X[, 1] * rnorm(n)
q.forest <- quantile_forest(X, Y, quantiles = c(0.1, 0.5, 0.9))
# Calculate the split frequencies for this forest.
split_frequencies(q.forest)
# }
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