INNER CODE UNIT · Python

_evaluate_population

joeddav/devol · devol/devol.py:217

    def _evaluate_population(self, members, epochs, fitness, igen, ngen):
        fit = []
        for imem, mem in enumerate(members):
            self._print_evaluation(imem, len(members), igen, ngen)
            res = self._evaluate(mem, epochs)
            v = res[self._metric_index]
            del res
            fit.append(v)

        fit = np.array(fit)
        self._print_result(fit, igen)
        return _Population(members, fit, fitness, obj=self._objective)

    def _print_evaluation(self, imod, nmod, igen, ngen):
        fstr = '\nmodel {0}/{1} - generation {2}/{3}:\n'
        print(fstr.format(imod + 1, nmod, igen + 1, ngen))

    def _generate_random_population(self, size):

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