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 \([−x, x]\).
tf.math.erf( x, name=None )
tf.math.erf([[1.0, 2.0, 3.0], [0.0, -1.0, -2.0]]) <tf.Tensor: shape=(2, 3), dtype=float32, numpy= array([[ 0.8427007, 0.9953223, 0.999978 ], [ 0. , -0.8427007, -0.9953223]], dtype=float32)>
Args | |
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x | A Tensor . Must be one of the following types: bfloat16 , half , float32 , float64 . |
name | A name for the operation (optional). |
Returns | |
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A Tensor . Has the same type as x . If |
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Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/math/erf