- mars.tensor.special.gammaln(x, out=None, where=None, **kwargs)#
Logarithm of the absolute value of the Gamma function.
x (array-like) – Values on the real line at which to compute
out (Tensor, None, or tuple of Tensor and None, optional) – A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated tensor is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.
where (array_like, optional) – Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone.
gammaln – Values of
- Return type
When used in conjunction with gammasgn, this function is useful for working in logspace on the real axis without having to deal with complex numbers, via the relation
exp(gammaln(x)) = gammasgn(x)*gamma(x).
For complex-valued log-gamma, use loggamma instead of gammaln.