Metadata-Version: 2.1
Name: pottok
Version: 0.1rc1
Summary: Optimal Transport with raster image, including an optimal transport validation
Home-page: https://github.com/obernardoff/pottok/
Author: Olivia Bernardoff, Nicolas Karasiak, Yousra Hamrouni & David Sheeren
Author-email: olivia.bernardoff@outlook.fr
License: UNKNOWN
Description: [![Documentation status](https://readthedocs.org/projects/pottok/badge/?version=latest)](https://pottok.readthedocs.io/en/latest/?badge=latest)
        [![PyPI version](https://badge.fury.io/py/pottok.svg)](https://badge.fury.io/py/pottok)
        [![Build status](https://api.travis-ci.com/obernardoff/pottok.svg?branch=master)](https://travis-ci.com/obernardoff/pottok)
        [![Downloads](https://pepy.tech/badge/pottok)](https://pepy.tech/project/pottok)
        
        # Pottok - Python Optimal Transport for Terrestrial Observation Knowledge
        
        Pottok is a python library based on POT Python Optimal Transport. It provides a grid search for POT with two different method : crossed and circular.
        
        # Classes description
        
        The two avalable classes are :
         - pottok.OptimalTransportGridsearch : Create a gris dearch compatible with POT. The user can use the circular grid search based on the circular validation and crossed grid search based on crossed validation. This one can use scikit learn or museotoolbox GridSearchCV.
         - pottok.RasterOptimalTransport : this class is specifically for raster use. 
        
        # How it works ? 
        
        Since a picture is worth more than a thousand words, we will use a concrete example to illustrate these two grid search
        >Add tetris draw
        
        # Pottok installation
        
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.5
Description-Content-Type: text/markdown
