drf |
Distributional Random Forests |
get_sample_weights |
Given a trained forest and test data, compute the training sample weights for each test point. |
get_tree |
Retrieve a single tree from a trained forest object. |
leaf_stats.default |
A default leaf_stats for forests classes without a leaf_stats method that always returns NULL. |
leaf_stats.drf |
Calculate summary stats given a set of samples for regression forests. |
medianHeuristic |
Compute the median heuristic for the MMD bandwidth choice |
plot.drf_tree |
Plot a DRF tree object. |
predict.drf |
Predict with a drf forest |
print.drf |
Print a DRF forest object. |
print.drf_tree |
Print a DRF tree object. |
split_frequencies |
Calculate which features the forest split on at each depth. |
variableImportance |
Variable importance based on MMD |
variable_importance |
Calculate a simple measure of 'importance' for each feature. |
weighted.quantile |
Weighted quantiles |