How can I get the value of the loss function at the last iteration with ProjectedGradient #581
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brunomorampc
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I am using ProjectedGradient to solve a constrained optimization problem. I'd like to (at least) get the value of the loss at the last iteration. Additionally, ideally at every iteration.
After I run ProjectedGradient.run I get something like a dictionary out with the optimal parameters (params) a 'state' and a 't'. Is any of those the loss? If now how can I get its value?
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