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tfp.edward2.Normal

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

Create a random variable for Normal.

See Normal for more details.

Returns:

RandomVariable.

Original Docstring for Distribution

Construct Normal distributions with mean and stddev 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 stddevs 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.