I have 2 functions that give out precision and recall scores, I need to make a harmonic mean function defined in the same library that uses these two scores. The functions looks like this:
here are the functions:
def precision(ref, hyp):
"""Calculates precision.
Args:
- ref: a list of 0's and 1's extracted from a reference file
- hyp: a list of 0's and 1's extracted from a hypothesis file
Returns:
- A floating point number indicating the precision of the hypothesis
"""
(n, np, ntp) = (len(ref), 0.0, 0.0)
for i in range(n):
if bool(hyp[i]):
np += 1
if bool(ref[i]):
ntp += 1
return ntp/np
def recall(ref, hyp):
"""Calculates recall.
Args:
- ref: a list of 0's and 1's extracted from a reference file
- hyp: a list of 0's and 1's extracted from a hypothesis file
Returns:
- A floating point number indicating the recall rate of the hypothesis
"""
(n, nt, ntp) = (len(ref), 0.0, 0.0)
for i in range(n):
if bool(ref[i]):
nt += 1
if bool(hyp[i]):
ntp += 1
return ntp/nt
What would the harmonic mean function look like? All I have is this but I know its not right:
def F1(precision, recall):
(2*precision*recall)/(precision+recall)
With a slight change of your F1
function, and with the same precision
and recall
function you defined, I have this working:
def F1(precision, recall):
return (2*precision*recall)/(precision+recall)
r = [0,1,0,0,0,1,1,0,1]
h = [0,1,1,1,0,0,1,0,1]
p = precision(r, h)
rec = recall(r, h)
f = F1(p, rec)
print f
Review especially the use of variables I have. You must compute the result of each function and pass them to the F1
function.
The following will work with any number of arguments:
def hmean(*args):
return len(args) / sum(1. / val for val in args)
To compute the harmonic mean of precision
and recall
, use:
result = hmean(precision, recall)
There are two problems with your function:
- It fails to return a value.
- On some versions of Python, it would use integer division for integer arguments, truncating the result.
来源:https://stackoverflow.com/questions/13855459/harmonic-mean-in-a-python-function