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Hello,
Firstly, thank you for your work !
I am using your NAB metric, and exploring its implementation I found some divergences around the scaled sigmoid.
In the NAB paper (Lavin2015), the scaled sigmoid is defined as for Atp in [0,1] and Afp in [-1,0].
In the implementation, the scaled sigmoid is defined as follows (skiping the docstrings):
def scaledSigmoid(relativePositionInWindow): if relativePositionInWindow > 3.0: # FP well behind window val = -1.0 else: val = 2*sigmoid(-5*relativePositionInWindow) - 1.0 return val
Is it deliberate that (Atp - Afp) is replaced by a constant (2 is this case) ? It changes some results.
Thank you for your time.
The text was updated successfully, but these errors were encountered:
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Hello,
Firstly, thank you for your work !
I am using your NAB metric, and exploring its implementation I found some divergences around the scaled sigmoid.
In the NAB paper (Lavin2015), the scaled sigmoid is defined as
for Atp in [0,1] and Afp in [-1,0].
In the implementation, the scaled sigmoid is defined as follows (skiping the docstrings):
Is it deliberate that (Atp - Afp) is replaced by a constant (2 is this case) ? It changes some results.
Thank you for your time.
The text was updated successfully, but these errors were encountered: