ASCL Code Record
[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
Preferred citation method:
https://ui.adsabs.harvard.edu/abs/2018arXiv180405753P , https://ui.adsabs.harvard.edu/abs/2019arXiv190607177P , and https://ui.adsabs.harvard.edu/abs/2020A%26C....3000362D
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