Method __call__

numpy_ml/neural_nets/optimizers/optimizers.py:22–23

(self, param, param_grad, param_name, cur_loss=None)

        self.lr_scheduler = SchedulerInitializer(scheduler, lr=lr)()

    def __call__(self, param, param_grad, param_name, cur_loss=None):
        return self.update(param, param_grad, param_name, cur_loss)

    def step(self):
        """Increment the optimizer step counter by 1"""