ARES Files

Script an empirical count file to compare against obtained results in a P-SYSTEM to find which one is the most similar based in 3 different comparation algorithms.

Algorithm strategies:

Algorithm 1 (Solution_1.py): No dependency between the values in the same row.
Algorithm 2(Solution_1.py): Calculate correlation of each column in empirical file with its corresponding column in the result file.
Algorithm 3(Solution_1.py): Assumes that the values in each row depend on the values in other column of that row.
IMPORTANT: empirical file must have the same rows and columns in the same order as ecosystem's result files. Empirical file must be a .csv (Comma-separated values) plain text file with columns separated by semicolon ';' characters.

Comparation results table will be generated in its corresponding ecosystem folder when finished.

To Run the script just pass the script to python:

Example: python Solution_1.py

Please, note that the input files are hard-coded inside the script so you have to change it before running it.


	# setup path to input files and set file names to load
     inputFolderName = "./input_folder/"
     inputFileNames = ["1_like.csv","2_like.csv","3_like.csv","5_like.csv","6_like.csv"]
     empiricalFileName = "empirical_like.csv"