Mistake in "first_coin_flip" formula for "Varying Amounts of Noise" #14
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There is mistake in this line: first_coin_flip = (torch.rand(len(db)) *<* noise).float() it should be: first_coin_flip = (torch.rand(len(db)) *>* noise).float() E.g. if noise is 0.2 it means less noise, and when it is 0.8 it means more noise. right? So, when it's 0.8 I have to get a true result wit probability 1-0.8 = 0.2.
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There is mistake in this line: first_coin_flip = (torch.rand(len(db)) < noise).float()
it should be: first_coin_flip = (torch.rand(len(db)) > noise).float()
E.g. if noise is 0.2 it means less noise, and when it is 0.8 it means more noise. right?
So, when it's 0.8 I have to get a true result wit probability 1-0.8 = 0.2.