Skip to content

Latest commit

 

History

History
14 lines (9 loc) · 459 Bytes

README.md

File metadata and controls

14 lines (9 loc) · 459 Bytes

jl_exp_deconv

jl_exp_deconv deconvolutes experimental mixture spectra via a model that is trained on experimental pure-component spectra.

Module code

We place the module code in a file called jl_exp_deconv.py in directory called jl_exp_deconv. ### Project Data

To get access to the data location run the following commands

import os.path as op
import jl_exp_deconv as exp_deconv
data_path = op.join(exp_deconv.__path__[0], 'data')