Metadata-Version: 2.1
Name: multilayer-credit-scoring
Version: 0.0.3
Summary: Python implementation of the MultilayerCreditScoring algorithm
Home-page: https://github.com/MariaOskarsdottir/MultilayerCreditScoring
Author: Sigurjon Thorsteinsson
Author-email: grjoni80@gmail.com
License: UNKNOWN
Description: # MultilayerCreditScoring
        
        This repository includes a python script that implements the MultilayerCreditScoring (MCS) algorithim presented in the paper [Evolution of Credit Risk Using a Personalized Pagerank Algorithm for Multilayer Networks](https://arxiv.org/abs/2005.12418).
        
        # Usage instructions
        
        What is supported regarding the format of the input data:
        
        to be continued...
        
        Usage and the parameters the user can control
        
        1. Filename for input data
        2. Network_type, defaUlt is bipartite multilayer but mulitplex can also be specified !?! //TODO: check this further
        3. Alpha parameter for the personalized pagerank algorithm. Default is 0.85
        
        We will do a MCS class that takes all the neccassary parameters in its contructor and it will run the caluclatinson directly afterwards. Then the user can query the results he is interesed in by examaning the relevant properites of the MCS object.
        
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
