coauction 0.2

This repository will contain the source codes for newly proposed auction systems in our proposed economics research paper. Targeted to update the repository before : 15th March 2019

collaborative-auction

This repository will contain the source codes for newly proposed auction systems in our proposed economics research paper. Targeted to update the repository before : 15th March 2019. github repository: https://github.com/mr-ravin/collaborative-auction

Author: Ravin Kumar

Steps for using the library

import coauction
  # total_candidates : total number of participants
  # bidding_sequence: arrary containing timeseries data in format [[candidate_id,candidate_offer],[candidate_id,candidate_offer] ....]
  # relation_list: array containing relationship in form of [[sender,receiver],..] here 1 represents the person who won the bidding, 2 repreents the second last bidding candidate etc.
  # alpha: it determine the discount ratio for each relationship present in relation_list
results=coauction.response(total_candidates,bidding_sequence,relation_list,alpha)
# results[0] contains complete list of amount each candidate gets, and results[1] contains the amount in form of a dictionary,
# with candidate_id as key, and amount as value.

Installing module using PyPi:

pip install coauction

In our system candidate_id begins with 1, in dictionary based response.

Note: This work can be used only for academic research work after providing proper citation and deserved credits to this work. For Industrial, commercial or any other use, permission is required from the Author.