darsia.Model#

class Model[source]#

Bases: object

Base class for signal-to-quantity models.

A model is a callable mapping a scalar signal (array or Image) to a physical quantity such as a concentration or saturation. Subclasses implement __call__ and, where calibratable, expose num_parameters.

Methods

calibrate()

Calibration routine of model.

update_model_parameters(parameters[, dofs])

Update routine of model parameters.
abstractmethod calibrate()[source]#

Calibration routine of model.

abstractmethod update_model_parameters(parameters, dofs=None)[source]#

Update routine of model parameters.