[ascl:2005.017]
cdetools: Tools for Conditional Density Estimates
cdetools provides tools for evaluating conditional density estimates and has applications to photometric redshift estimation and likelihood-free cosmological inference. Available in R and Python, it provides functions for computing a so-called CDE loss function for tuning and assessing the quality of individual probability density functions (PDFs) and diagnostic functions that probe the population-level performance of the PDFs.
- Code site:
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https://github.com/lee-group-cmu/cdetools
- Described in:
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https://ui.adsabs.harvard.edu/abs/2020A%26C....3000362D
- Bibcode:
- 2020ascl.soft05017P