Create a random variable for GammaGamma.
tfp.edward2.GammaGamma( *args, **kwargs )
See GammaGamma for more details.
Original Docstring for Distribution
Initializes a batch of Gamma-Gamma distributions.
rate must be shaped in a way that
supports broadcasting (e.g.
concentration + mixing_concentration + mixing_rate is a valid operation).
concentration: Floating point tensor, the concentration params of the distribution(s). Must contain only positive values.
mixing_concentration: Floating point tensor, the concentration params of the mixing Gamma distribution(s). Must contain only positive values.
mixing_rate: Floating point tensor, the rate params of the mixing Gamma distribution(s). Must contain only positive values.
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.
rateare different dtypes.