OptimizeResult#
- class scipy.optimize.OptimizeResult[source]#
Represents the optimization result.
- Attributes:
- xndarray
The solution of the optimization.
- successbool
Whether or not the optimizer exited successfully.
- statusint
Termination status of the optimizer. Its value depends on the underlying solver. Refer to message for details.
- messagestr
Description of the cause of the termination.
- funfloat
Value of objective function at x.
- jac, hessndarray
Values of objective function’s Jacobian and its Hessian at x (if available). The Hessian may be an approximation, see the documentation of the function in question.
- hess_invobject
Inverse of the objective function’s Hessian; may be an approximation. Not available for all solvers. The type of this attribute may be either np.ndarray or scipy.sparse.linalg.LinearOperator.
- nfev, njev, nhevint
Number of evaluations of the objective functions and of its Jacobian and Hessian.
- nitint
Number of iterations performed by the optimizer.
- maxcvfloat
The maximum constraint violation.
Methods
x.__getitem__(y) <==> x[y]
__len__(/)Return len(self).
clear()copy()fromkeys(iterable[, value])Create a new dictionary with keys from iterable and values set to value.
get(key[, default])Return the value for key if key is in the dictionary, else default.
items()keys()pop(key[, default])If the key is not found, return the default if given; otherwise, raise a KeyError.
popitem(/)Remove and return a (key, value) pair as a 2-tuple.
setdefault(key[, default])Insert key with a value of default if key is not in the dictionary.
update([E, ]**F)If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]
values()Notes
Depending on the specific solver being used,
OptimizeResultmay not have all attributes listed here, and they may have additional attributes not listed here. Since this class is essentially a subclass of dict with attribute accessors, one can see which attributes are available using theOptimizeResult.keysmethod.