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[ascl:1304.011] TPZ: Trees for Photo-Z

TPZ, a parallel code written in python, produces robust and accurate photometric redshift PDFs by using prediction tree and random forests. The code also produces ancillary information about the sample used, such as prior unbiased errors estimations (giving an estimation of performance) and a ranking of importance of variables as well as a map of performance indicating where extra training data is needed to improve overall performance. It is designed to be easy to use and a tutorial is available.

Code site:
http://matias-ck.com/mlz/ https://github.com/mgckind/MLZ
Described in:
http://adsabs.harvard.edu/abs/2013MNRAS.432.1483C
Bibcode:
2013ascl.soft04011C

Views: 1838

ascl:1304.011
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