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[ascl:2005.018] RFCDE: Random Forests for Conditional Density Estimation

RFCDE provides an implementation of random forests designed for conditional density estimation. It computes a kernel density estimate of y with nearest neighbor weightings defined by the location of the evaluation point x relative to the leaves in the random forest.

Code site:
https://github.com/lee-group-cmu/RFCDE
Used in:
https://ui.adsabs.harvard.edu/abs/2020A%26C....3000362D
Described in:
https://ui.adsabs.harvard.edu/abs/2018arXiv180405753P https://ui.adsabs.harvard.edu/abs/2019arXiv190607177P
Bibcode:
2020ascl.soft05018P

Views: 2636

ascl:2005.018
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