jax.scipy.optimize.OptimizeResults — JAX documentation (original) (raw)

Contents

• OptimizeResults
  • OptimizeResults.__init__()

jax.scipy.optimize.OptimizeResults#

class jax.scipy.optimize.OptimizeResults(x, success, status, fun, jac, hess_inv, nfev, njev, nit)[source]#

Object holding optimization results.

Parameters:

• x (jax.Array) – final solution.
• success (bool | jax.Array) – True if optimization succeeded.
• status (int | jax.Array) – integer solver specific return code. 0 means converged (nominal), 1=max BFGS iters reached, 3=zoom failed, 4=saddle point reached, 5=max line search iters reached, -1=undefined
• fun (jax.Array) – final function value.
• jac (jax.Array) – final jacobian array.
• hess_inv (jax.Array | None) – final inverse Hessian estimate.
• nfev (int | jax.Array) – integer number of function calls used.
• njev (int | jax.Array) – integer number of gradient evaluations.
• nit (int | jax.Array) – integer number of iterations of the optimization algorithm.

__init__()#

Methods

Attributes