tfp.edward2.Beta

Create a random variable for Beta.

Main aliases

tfp.experimental.edward2.Beta

@staticmethod
@classmethod
tfp.edward2.Beta(
    concentration1, concentration0, validate_args=False, allow_nan_stats=True,
    name='Beta'
)

See Beta for more details.

Returns
RandomVariable.

Initialize a batch of Beta distributions.

Args
`concentration1`	Positive floating-point `Tensor` indicating mean number of successes; aka 'alpha'.
`concentration0`	Positive floating-point `Tensor` indicating mean number of failures; aka 'beta'.
`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.

Returns