This submodule contains various mathematical functions. Most of them are imported directly from pytensor.tensor (see there for more details). Doing any kind of math with PyMC random variables, or defining custom likelihoods or priors requires you to use these PyTensor expressions rather than NumPy or Python code.
.. currentmodule:: pymc
.. autosummary:: :toctree: generated/ expand_packed_triangular logit invlogit probit invprobit logsumexp
.. automodule:: pymc.math
.. autosummary:: :toctree: generated/ dot constant flatten zeros_like ones_like stack concatenate sum prod lt gt le ge eq neq switch clip where and_ or_ abs exp log cos sin tan cosh sinh tanh sqr sqrt erf erfinv dot maximum minimum sgn ceil floor det matrix_inverse extract_diag matrix_dot trace sigmoid logsumexp invlogit logit