Hey, really like the project. I noticed that the average of my sensitivies was above my baseline sensitivity most of the time. I think this should fix it.
I basically first change the number scales of which we choose a random number so that a negative number e.g. -2 just means 2x slower i.e. 1/2 * base sens. Positive numbers stay the same. When pushing the random number to the sensitivity list, I just transform the random_sens back to an actual sens.
I wasn't able to get it compiled on my PC (just because of some library not being found and me not having Visual Studio). Would appreciate if you could check it out.
Hey, really like the project. I noticed that the average of my sensitivies was above my baseline sensitivity most of the time. I think this should fix it. I basically first change the number scales of which we choose a random number so that a negative number e.g. -2 just means 2x slower i.e. 1/2 * base sens. Positive numbers stay the same. When pushing the random number to the sensitivity list, I just transform the random_sens back to an actual sens. I wasn't able to get it compiled on my PC (just because of some library not being found and me not having Visual Studio). Would appreciate if you could check it out.