Distributional Random Forests
Writes each node information If it is a leaf node: show it in differen...
Distributional Random Forests
Export a tree in DOT format. This function generates a GraphViz repres...
Given a trained forest and test data, compute the training sample weig...
Retrieve a single tree from a trained forest object.
A default leaf_stats for forests classes without a leaf_stats method t...
Calculate summary stats given a set of samples for regression forests.
Compute the median heuristic for the MMD bandwidth choice
Plot a DRF tree object.
Predict from Distributional Random Forests object
Print a DRF tree object.
Print a DRF forest object.
Calculate which features the forest split on at each depth.
Calculate a simple measure of 'importance' for each feature.
Variable importance based on MMD
Weighted quantiles
An implementation of distributional random forests as introduced in Cevid & Michel & Naf & Meinshausen & Buhlmann (2022) <doi:10.48550/arXiv.2005.14458>.