Hello Dr. Balle,
I am not as experienced as you. I have a question regarding your method. I don't know whether the below situation is possible.
p = CDF (y + 0.5) - CDF (y-0.5)
Is it possible to get p = 0 in the probability matrix?
So log(p) can gives '-inf'.
tf.reduce_sum(log(p)) = nan
How do you suggest solving this issue?
Can I add a very small number, such as 1e-6, to avoid this issue? For example, I calculate log(p+ 1e-6) instead of log(p).
Thank you! Hope to get your invaluable suggestion.
Best Regards,
Yifei
Hello Dr. Balle,
I am not as experienced as you. I have a question regarding your method. I don't know whether the below situation is possible.
p = CDF (y + 0.5) - CDF (y-0.5)
Is it possible to get p = 0 in the probability matrix?
So log(p) can gives '-inf'.
tf.reduce_sum(log(p)) = nan
How do you suggest solving this issue?
Can I add a very small number, such as 1e-6, to avoid this issue? For example, I calculate log(p+ 1e-6) instead of log(p).
Thank you! Hope to get your invaluable suggestion.
Best Regards,
Yifei