sbi.inference.ratio_estimator_based_potential#
- ratio_estimator_based_potential(ratio_estimator, prior, x_o, enable_transform=True)[source]#
Returns the potential for ratio-based methods.
It also returns a transformation that can be used to transform the potential into unconstrained space.
- Parameters:
ratio_estimator (Module) – The neural network modelling likelihood-to-evidence ratio.
prior (Distribution) – The prior distribution.
x_o (Tensor | None) – The observed data at which to evaluate the likelihood-to-evidence ratio.
enable_transform (bool) – Whether to transform parameters to unconstrained space. When False, an identity transform will be returned for theta_transform.
- Returns:
The potential function and a transformation that maps to unconstrained space.
- Return type: