scikit-learn compatible quantile forests.
quantile-forest offers a Python implementation of quantile regression forests compatible with scikit-learn. Quantile regression forests are a non-parametric, tree-based ensemble method for estimating conditional quantiles, with application to high-dimensional data and uncertainty estimation. The estimators in this package extend the forest estimators available in scikit-learn to estimate conditional quantiles. They are compatible with and can serve as drop-in replacements for the scikit-learn variants.
