MLZ: Machine Learning for photo-Z, a photometric redshift PDF estimator
Project description
MLZ is a python code that computes photometric redshift PDFs using machine learning techniques, providing optional extra information.
- Author:
Matias Carrasco Kind
- Version:
1.2
For a more detailed documentation see: http://lcdm.astro.illinois.edu/static/code/mlz/MLZ-1.2/doc/html/index.html
or go to the doc/ folder and start a web browser opening doc/html/index.html
Any comments, suggestion or question contact me at mcarras2@astro.illinois.edu
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
MLZ-1.2.tar.gz
(3.4 MB
view details)
File details
Details for the file MLZ-1.2.tar.gz.
File metadata
- Download URL: MLZ-1.2.tar.gz
- Upload date:
- Size: 3.4 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 2fb4969c093486d034552abae8ed36c95b2d8cf17eda64789fa648695d710d04 |
|
| MD5 | b8f195a1289f3e07671df091fcca6368 |
|
| BLAKE2b-256 | 42efa9ba46f8eff1e8e0ba279b45252c975ab747f2da477f36aa5138c6a3d2ec |
