pymc.math.erfc#

pymc.math.erfc = Elemwise(scalar_op=erfc,inplace_pattern=<frozendict {}>)[source]#

complementary error function

Computes the element-wise complementary error function of a tensor.

Parameters:

aTensorLike: Input tensor

Returns:

TensorVariable: Output tensor with the complementary error function evaluated at each element

Notes

This function corresponds to SciPy’s scipy.special.erfc function. The complementary error function is defined as: erfc(x) = 1 - erf(x) = (2/√π) * ∫(x to ∞) exp(-t²) dt

Examples

>>> import pytensor
>>> import pytensor.tensor as pt
>>> x = pt.vector("x")
>>> f = pytensor.function([x], pt.erfc(x))
>>> f([-1, 0, 1])
array([1.84270079, 1.        , 0.15729921])