Comments (1)
Zq5437
commented on May 29, 2024
#38
Hello ! Here is the way I solve this problem .
I encountered the same problem before long and I find that there might have something error in the process of " 0. ". Because the " log(0.) " equals -INF , which results in the nans we saw.
After slight change , the output is 0.18771136179353343 ,which is quite close to the expected number 0.18771136179353307 (Because the same number of digits has exceeded 12, there will be no more errors reported here)
Hopefully ,this might be useful for you !
Any question is expected.
Zq
from pyeeg.
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