tf.contrib.distributions.Normal.log_survival_function(value, name='log_survival_function')
Log survival function.
Given random variable X
, the survival function is defined:
log_survival_function(x) = Log[ P[X > x] ] = Log[ 1 - P[X <= x] ] = Log[ 1 - cdf(x) ]
Typically, different numerical approximations can be used for the log survival function, which are more accurate than 1 - cdf(x)
when x >> 1
.
Args:
-
value
:float
ordouble
Tensor
. -
name
: The name to give this op.
Returns:
Tensor
of shape sample_shape(x) + self.batch_shape
with values of type self.dtype
.
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