tfp.edward2.Cauchy

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Create a random variable for Cauchy.

Aliases:

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

See Cauchy for more details.

Returns:

RandomVariable.

Original Docstring for Distribution

Construct Cauchy distributions.

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

Args:

  • loc: Floating point tensor; the modes of the distribution(s).
  • scale: Floating point tensor; the locations 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 loc and scale have different dtype.