Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference

bart bayesian-machine-learning bayesian-methods decision-trees gradient-boosted-trees machine-learning probabilistic-models tree-ensembles
1 Open Issue Need Help Last updated: Sep 10, 2025

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AI Summary: A user is unable to install the `stochtree` package directly from its GitHub repository using `pip install git+https://github.com/StochasticTree/stochtree.git`. The installation fails during the `git submodule update` step, specifically when trying to access the `libeigen/eigen` submodule, indicated by a `fatal: unable to access 'https://gi` error, likely due to a network connectivity issue on the remote machine. Installing the package from PyPI (`pip install stochtree`) works without problems.

Complexity: 2/5
help wanted

Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference

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#bart#bayesian-machine-learning#bayesian-methods#decision-trees#gradient-boosted-trees#machine-learning#probabilistic-models#tree-ensembles