#include <math_ops.h>
Computes the Gauss error function of x
element-wise.
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:
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 |
Operation operation
::tensorflow::Output y
Erf( const ::tensorflow::Scope & scope, ::tensorflow::Input x )
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output() const
© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/cc/class/tensorflow/ops/erf