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In order to keep the distribution configuration simple, the continual distribution functions can be normalized.
For example, instead of normal(mean, variance, lower-boundry, upper-boundry), it could be normal(mean, variance) assuming that only probabilities from interval 0.0 - 1.0 are sampled.
The text was updated successfully, but these errors were encountered:
In order to keep the distribution configuration simple, the continual distribution functions can be normalized.
For example, instead of
normal(mean, variance, lower-boundry, upper-boundry)
, it could benormal(mean, variance)
assuming that only probabilities from interval 0.0 - 1.0 are sampled.The text was updated successfully, but these errors were encountered: