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tfp.edward2.InverseGamma

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Create a random variable for InverseGamma.

Aliases:

tfp.edward2.InverseGamma(
    *args,
    **kwargs
)

See InverseGamma for more details.

Returns:

RandomVariable.

Original Docstring for Distribution

Construct InverseGamma with concentration and scale parameters.

The parameters concentration and scale must be shaped in a way that supports broadcasting (e.g. concentration + scale is a valid operation).

Args:

  • concentration: Floating point tensor, the concentration params of the distribution(s). Must contain only positive values.
  • scale: Floating point tensor, the scale params of the distribution(s). Must contain only positive values.
  • validate_args: Python bool, default False. When True distribution parameters are checked for validity despite possibly degrading runtime performance. When False invalid inputs may silently render incorrect outputs.
  • allow_nan_stats: Python bool, default True. When 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.
  • name: Python str name prefixed to Ops created by this class.

Raises:

  • TypeError: if concentration and scale are different dtypes.