Calculate which features the forest split on at each depth.

split_frequencies(forest, max.depth = 4)

Arguments

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

Value

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

Examples

# \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)
#>      [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
#> [1,]  793  138  115  123  147  119  242  104   97   122
#> [2,]  856  334  342  316  280  339  401  276  293   319
#> [3,]  960  500  517  478  553  506  478  448  502   498
#> [4,]  932  624  620  576  563  607  639  553  565   578
# }