fitbenchmarking.jacobian.default_jacobian module

Module which uses the minimizer’s default jacobian

class fitbenchmarking.jacobian.default_jacobian.Default(problem)

Use the minimizer’s jacobian/derivative approximation

eval(params, **kwargs)

Evaluates Jacobian of problem.eval_model

Parameters: params (list) – The parameter values to find the Jacobian at
Returns: Approximation of the Jacobian
Return type: numpy array

name() → str

Get a name for the current status of the jacobian.