tf.contrib.distributions.Beta.prob()

tf.contrib.distributions.Beta.prob(value, name='prob')

Probability density/mass function (depending on is_continuous).

Additional documentation from Beta:

Note that the argument x must be a non-negative floating point tensor whose shape can be broadcast with self.a and self.b. For fixed leading dimensions, the last dimension represents counts for the corresponding Beta distribution in self.a and self.b. x is only legal if 0 < x < 1.

Args:

• value: float or double Tensor.
• name: The name to give this op.

Returns:

• prob: a Tensor of shape sample_shape(x) + self.batch_shape with values of type self.dtype.