keras/src/optimizers/ftrl.py/Ftrl/get_config
class Ftrl:    def get_config(self):
        config = super().get_config()

        config.update(
            {
                "learning_rate_power": self.learning_rate_power,
                "initial_accumulator_value": self.initial_accumulator_value,
                "l1_regularization_strength": self.l1_regularization_strength,
                "l2_regularization_strength": self.l2_regularization_strength,
                "l2_shrinkage_regularization_strength": self.l2_shrinkage_regularization_strength,  # noqa: E501
                "beta": self.beta,
            }
        )
        return config