tf.contrib.distributions.ExponentialWithSoftplusLam.survival_function()

tf.contrib.distributions.ExponentialWithSoftplusLam.survival_function(value, name='survival_function')

Survival function.

Given random variable X, the survival function is defined:

survival_function(x) = P[X > x]
                     = 1 - P[X <= x]
                     = 1 - cdf(x).

Args:

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

Returns:

Tensorof shapesample_shape(x) + self.batch_shapewith values of typeself.dtype`.