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tfp.edward2.Gumbel

Create a random variable for Gumbel.

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

Defined in python/edward2/interceptor.py.

See Gumbel for more details.

Returns:

RandomVariable.

Original Docstring for Distribution

Construct Gumbel distributions with location and scale loc and scale.

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 means of the distribution(s).
  • scale: Floating point tensor, the scales of the distribution(s). scale 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. Default value: False.
  • 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. Default value: True.
  • name: Python str name prefixed to Ops created by this class. Default value: 'Gumbel'.

Raises:

  • TypeError: if loc and scale are different dtypes.