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tfp.edward2.Pareto

Create a random variable for Pareto.

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

Defined in python/edward2/interceptor.py.

See Pareto for more details.

Returns:

RandomVariable.

Original Docstring for Distribution

Construct Pareto distribution with concentration and scale.

Args:

  • concentration: Floating point tensor. Must contain only positive values.
  • scale: Floating point tensor, equivalent to mode. scale also restricts the domain of this distribution to be in [scale, inf). Must contain only positive values. Default value: 1.
  • 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 (i.e. do not validate args).
  • 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: 'Pareto'.