Metadata-Version: 2.1
Name: astroslam
Version: 1.2019.109.2
Summary: A forward model using SVR to estimate stellar parameters from spectra.
Home-page: http://github.com/hypergravity/astroslam
Author: Bo Zhang
Author-email: bozhang@nao.cas.cn
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Astronomy
Requires: numpy
Requires: scipy
Requires: matplotlib
Requires: astropy
Requires: sklearn
Requires: joblib
Requires: pandas
Requires: emcee
Requires: lmfit
Requires: ipyparallel
Description-Content-Type: text/markdown

## SLAM

Stellar LAbel Machine (SLAM) is a forward model to estimate stellar parameters (e.g., Teff, logg, [Fe/H] and chemical abundances).
It is based on Support Vector Regression (SVR), which in essential is a non-parametric regression method.

## Author

Bo Zhang (bozhang@nao.cas.cn)

## Home page

- [https://github.com/hypergravity/astroslam](https://github.com/hypergravity/astroslam)
- [https://pypi.org/project/astroslam/](https://pypi.org/project/astroslam/)

## Install
- for the latest **stable** version:
  - `pip install astroslam`
- for the latest **github** version:
  - `pip install git+git://github.com/hypergravity/astroslam`


## Requirements

- numpy
- scipy
- matplotlib
- astropy
- sklearn
- joblib
- pandas
- emcee


