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Create a random variable for Kumaraswamy.
tfp.edward2.Kumaraswamy( *args, **kwargs )
See Kumaraswamy for more details.
Original Docstring for Distribution
Initialize a batch of Kumaraswamy distributions.
concentration1: Positive floating-point
Tensorindicating mean number of successes; aka "alpha". Implies
concentration1.shape = [N1, N2, ..., Nm] = self.batch_shape.
concentration0: Positive floating-point
Tensorindicating mean number of failures; aka "beta". Otherwise has same semantics as
Truedistribution parameters are checked for validity despite possibly degrading runtime performance. When
Falseinvalid inputs may silently render incorrect outputs.
True, statistics (e.g., mean, mode, variance) use the value "
NaN" to indicate the result is undefined. When
False, an exception is raised if one or more of the statistic's batch members are undefined.
strname prefixed to Ops created by this class.