Hello Friends,
Walking through the definition of
class Normalize(TabularProc):
I found the code below,
self.means[n],self.stds[n] = df[n].mean(),df[n].std() df[n] = (df[n]-self.means[n]) / (1e-7 + self.stds[n])
Any reason to why add 1e-7 to standard deviations before division?
So you don’t divide by zero which will give an error (or make the all the values `inf`` - infinity). This is commonly called an epsilon, and you’ll see it in most places that divide by a value that could be 0.
@TomB
Gotcha! Thanks…