tensorflow:: ops:: Erf
#include <math_ops.h>
Computes the Gauss error function of x
element-wise.
Summary
In statistics, for non-negative values of $x$, the error function has the following interpretation: for a random variable $Y$ that is normally distributed with mean 0 and variance $1/\sqrt{2}$, $erf(x)$ is the probability that $Y$ falls in the range $[−x, x]$.
Args:
- scope: A Scope object
Returns:
Output
: The y tensor.
Constructors and Destructors |
|
---|---|
Erf(const ::tensorflow::Scope & scope, ::tensorflow::Input x)
|
Public attributes |
|
---|---|
operation
|
|
y
|
Public functions |
|
---|---|
node() const
|
::tensorflow::Node *
|
operator::tensorflow::Input() const
|
|
operator::tensorflow::Output() const
|
|
Public attributes
operation
Operation operation
y
::tensorflow::Output y
Public functions
Erf
Erf( const ::tensorflow::Scope & scope, ::tensorflow::Input x )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const