Metadata-Version: 2.1
Name: astroslam
Version: 1.2018.1219.0
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)


# Installation

Currently, you have 2 options

- download the package and install it using
`(sudo) python setup.py install`.
- `(sudo) pip install astroslam`.


# Requirements

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


