def configure(self, parameters, prefix = 'config'):
        if not parameters:
            return
        for key, val in parameters.items():
            self.resources[prefix + '.' + key] = val
Configures the model for training.
dataset/ETHPy150Open concurrence/concurrence/lib/concurrence/application.py/Container.configure--crossover with--dataset/ETHPy150Open fchollet/keras/keras/engine/training.py/Model.compile