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/√2, erf(x) is the probability that Y falls in the range [−x,x].
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Compat aliases for migration
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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)>
Args | |
---|---|
x
|
A Tensor . Must be one of the following types: bfloat16 , half , float32 , float64 .
|
name
|
A name for the operation (optional). |
Returns | |
---|---|
A Tensor . Has the same type as x .
If |