Metadata-Version: 2.1
Name: svsa
Version: 0.0.8.2
Summary: Fast approximations of scattering spectra with SVR.
Home-page: https://gjhunt.github.io/svsa/
Author: Gregory J. Hunt
Author-email: ghunt@wm.edu
License: GPL3
Description: <img src="ex_u.jpg" width="75%">
        
        
        # svsa: Support Vector Spectrum Approximator
        
        The Support Vector Spectrum Approximator (SVSA) is a python package for creating quick and accurate approximations of any spectral lineshapes model.
        
        ## Software
        
        * Our **python package** svsa is available on [pypi](https://pypi.org/project/svsa/).
        
        ### Vignettes
        
        * A basic vignette of how to use SVSA to approximate the Tenti S6 lineshape model is available in as an [ipython notebook](examples/fitting_example.ipynb).
        
        * Once fit in python you can export the fit for use in any other language. Examples can be found for how to do this for [Matlab](examples/test_pred.m) and [the R language](examples/test_pred.R).
        
        ## Papers
        
        ### 1. "Fast approximations of spectral lineshapes to enable optimization of a filtered rayleigh scattering experiment" MST (2020)
        
        * Our **publication** in MST is available [here](https://iopscience.iop.org/article/10.1088/1361-6501/ab8a7e)
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering
Description-Content-Type: text/markdown
