| import math | |
| import numpy as np | |
| # Functions for calculating the degree of association between nominal variables | |
| def cramersV(nrows, ncols, chisquared, correct_bias=True): | |
| nobs = nrows*ncols | |
| if correct_bias is True: | |
| phi = 0 | |
| else: | |
| phi = chisquared/nobs |
People
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| # coding=UTF8 | |
| ######################################################################### | |
| # This class is to help sklearn to handle statistical process # | |
| # Author: Joon Lim from Master of Science in Analytics at Northwestern # | |
| # Date: 04.23.2013 # | |
| ######################################################################### | |
| ''' this Module is built on top of numpy and sklearn. ''' | |
