OptimizerState
class OptimizerState(x, fun, jac, nfev, njev, nit)
Bases: object
Base class representing the state of the optimizer.
This class stores the current state of the optimizer, given by the current point and (optionally) information like the function value, the gradient or the number of function evaluations. This dataclass can also store any other individual variables that change during the optimization.
Attributes
x
Type: Union[float, numpy.ndarray]
Current optimization parameters.
fun
Type: Optional[Callable[[Union[float, numpy.ndarray]], float]]
Function being optimized.
jac
Type: Optional[Callable[[Union[float, numpy.ndarray]], Union[float, numpy.ndarray]]]
Jacobian of the function being optimized.
nfev
Type: Optional[int]
Number of function evaluations so far in the optimization.
njev
Type: Optional[int]
Number of jacobian evaluations so far in the opimization.
nit
Type: Optional[int]
Number of optmization steps performed so far in the optimization.