#boRanking
Alpha version with most useful functions implemented.
Developed by Iago Augusto Carvalho, Pedro Augusto Mendes, Tiago Costa Soares
## Overview
The project implements a bi-objective lexicographic ranking approach. The classification is done based on two input files, one containing the results of each algorithm, and the other containing the execution times for each scenario.
## Installation
Make sure you have Python 3 installed. Then, you can install the package using the following command:
import boRanking
## Usage
After installing the package.
from boRanking import biobjective_lexicographic
# Function biobjective_lexicographic:
from boRanking import biobjective_lexicographic
#Case your files have a header:
has_header = True
matrix_ranking = biobjective_lexicographic('results.csv', 'time.csv', has_header)
'Replace 'results.csv' and 'time.csv' with your file names'
#Case your files don't have a header:
matrix_ranking = biobjective_lexicographic('results.csv', 'time.csv')
'Replace 'results.csv' and 'time.csv' with your file names'
'You can define has_header as false, but not obligatory'
## License
This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.
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