Apply to speak at TensorFlow World. Deadline April 23rd. Propose talk

tfp.edward2.Geometric

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

Create a random variable for Geometric.

See Geometric for more details.

Returns:

RandomVariable.

Original Docstring for Distribution

Construct Geometric distributions.

Args:

  • logits: Floating-point Tensor with shape [B1, ..., Bb] where b >= 0 indicates the number of batch dimensions. Each entry represents logits for the probability of success for independent Geometric distributions and must be in the range (-inf, inf]. Only one of logits or probs should be specified.
  • probs: Positive floating-point Tensor with shape [B1, ..., Bb] where b >= 0 indicates the number of batch dimensions. Each entry represents the probability of success for independent Geometric distributions and must be in the range (0, 1]. Only one of logits or probs should be specified.
  • 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.