Calculate which features the forest split on at each depth.
Calculate which features the forest split on at each depth.
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.
# 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)
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