tf.math.erf  |  TensorFlow v2.16.1 (original) (raw)

tf.math.erf

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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 \([−x, x]\).

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Compat aliases for migration

SeeMigration guide for more details.

tf.compat.v1.erf

tf.math.erf(
    x: Annotated[Any, tf.raw_ops.Any],
    name=None
) -> Annotated[Any, tf.raw_ops.Any]

For example:

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)>