split_frequencies: Calculate which features the forest split on at each depth.
In drf: Distributional Random Forests

Description Usage Arguments Value Examples

Calculate which features the forest split on at each depth.

1	split_frequencies(forest, max.depth = 4)

`forest`	The trained forest.
`max.depth`	Maximum depth of splits to consider.

A matrix of split depth by feature index, where each value is the number of times the feature was split on at that depth.

## Not run: 
# Train a quantile forest.
n <- 50
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)

## End(Not run)