backend/sweettweet/services/utils.py
def f_beta(p, r, beta = 2):
	'''
	Return f_beta score given a precision and recall score
	'''
	return ((1+beta * beta) * (p * r)) / ((beta * beta * p) + r)

	Return f_beta score given a precision and recall score
	
Return f_beta score given a precision and recall score
Return f_beta score given a precision and recall score
def f_beta(p, r, beta = 2):
	return ((1+beta * beta) * (p * r)) / ((beta * beta * p) + r)
def f_beta ( p , r , beta = 2 ) : return ( ( 1 + beta * beta ) * ( p * r ) ) / ( ( beta * beta * p ) + r )
Return f_beta score given a precision and recall score
Return f_beta score given a precision and recall score
'''
	Return f_beta score given a precision and recall score
	'''
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