Metadata-Version: 2.1
Name: mirzai
Version: 0.0.1
Summary: Prediction of Exchangeable Potassium in Soil through Mid-Infrared and Deep Learning paper code
Home-page: https://github.com/franckalbinet/mirzai/tree/{branch}/
Author: Franck Albinet
Author-email: franckalbinet@gmail.com
License: Apache Software License 2.0
Keywords: high-throuput soil characterization remediation
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: pip
Requires-Dist: packaging
Requires-Dist: numpy
Requires-Dist: fastcore (<1.5,>=1.3.27)
Provides-Extra: dev

# mirzai
> Reproducible research code for: "Prediction of Exchangeable Potassium in Soil through Mid-Infrared Spectroscopy and Deep Learning: from Prediction to Explainability", Albinet et al., 2022


## Install

`pip install mirzai`

## How to use

Link to tutorials nbs...


