.. currentmodule:: pints
Error measures are callable objects that return some scalar representing the error between a model and an experiment.
Example:
error = pints.SumOfSquaresError(problem) x = [1,2,3] fx = error(x)
.. autoclass:: ErrorMeasure
.. autoclass:: MeanSquaredError
.. autoclass:: NormalisedRootMeanSquaredError
.. autoclass:: ProbabilityBasedError
.. autoclass:: ProblemErrorMeasure
.. autoclass:: RootMeanSquaredError
.. autoclass:: SumOfErrors
.. autoclass:: SumOfSquaresError