Metadata-Version: 2.1
Name: astroslam
Version: 1.2018.1221.0
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
Description: ## 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
        
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
