Method compile

deepctr_torch/models/basemodel.py:439–451

:param optimizer: String (name of optimizer) or optimizer instance. See [optimizers](https://pytorch.org/docs/stable/optim.html). :param loss: String (name of objective function) or objective function. See [losses](https://pytorch.org/docs/stable/nn.functional.html#loss-functions).

(self, optimizer,
                loss=None,
                metrics=None,
                )

        self.aux_loss = aux_loss * alpha

    def compile(self, optimizer,
                loss=None,
                metrics=None,
                ):
        """
        :param optimizer: String (name of optimizer) or optimizer instance. See [optimizers](https://pytorch.org/docs/stable/optim.html).
        :param loss: String (name of objective function) or objective function. See [losses](https://pytorch.org/docs/stable/nn.functional.html#loss-functions).
        :param metrics: List of metrics to be evaluated by the model during training and testing. Typically you will use `metrics=['accuracy']`.
        """
        self.metrics_names = ["loss"]
        self.optim = self._get_optim(optimizer)
        self.loss_func = self._get_loss_func(loss)
        self.metrics = self._get_metrics(metrics)

    def _get_optim(self, optimizer):
        if isinstance(optimizer, str):