OECheckpoint1¶
Attention
This API is currently available in C++ and Python.
class OECheckpoint1 : public OECheckpoint0
The OECheckpoint1 provides a “callback” facility to monitor the progress of an optimization. In addition, it can also be used to control the termination of an optimization. This class may be used with optimizers that do not use gradients as well as those that use gradients
The following methods are publicly inherited from OECheckpoint0:
The OECheckpoint1 class defines the following public methods:
operator()¶
bool operator()(unsigned int iteration, unsigned int nvar, double fval,
double gnorm, const double *var=(double *) 0,
const double *grad=(double *) 0, unsigned int state=0)=0
This operator method is called by an optimizer at least once per iteration during an optimization. The variables passed to the method from the optimizer reflect the current state of an optimization.
- iteration
The iteration number.
- nvar
The number of variables.
- fval
The most recent function evaluation during the current iteration.
- gnorm
The most recent gradient norm evaluation during the current iteration. The gradient norm is defined as \(\sqrt{\sum_i {g_ig_i}}\)
- var
Array containing current set of optimized variables. If available, the array has a length of
nvar.- grad
Array containing current set of optimized variables. If available, the array has a length of
nvar.- state
The current state of optimization.