# Path to our data files
my_path = '/folders-path/folder-name/'

# We need to tell it which file prefix is tied to which class
# {'s':'Spam', 'h': 'Ham'} => 
# 	All files staring with s will be considered as Spam dataset
#	All files staring with h will be considered as Ham dataset
# Files in my_path should start with s and h accordingly 
my_classes = {'s': 'Spam', 'h': 'Ham'}

mi = MutualInformation(files_path=my_path, classes=my_classes)
mi.load_terms()
mi.calculate_mi()

# Will dump output in a csv file	
mi.mi2csv()