Idea: We can't store all results in memory in general (might have thousands of candidates with millions of parameters each) So instead: return a reference to the saved result.
The ResultSaver interface provides a means of saving models in such a way that they can be loaded back into memory later, regardless of where/how they are saved.
A simple class to store optimization results in-memory.
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