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Probability distributions - torch.distributions
Returns the standard deviation of the distribution. Returns a Constraint object representing this distributions support. Returns the variance of the
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A Guide for Variances
Variances are exceptions to dimensional or numerical regulations such as building size, placement, height, lot size or average lot width, number of parking
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properties of variance
Ex 1: Let X = 1 based on 1 coin flip. As shown above, E[X] = 0, Var[X] = 1. Let Y = -X; then Var[Y] = (-1)2Var[X] = 1. But X+Y = 0, always, so Var[X+Y] = 0. Ex
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