560cb94519ad5a5eed3adc323a9e1ad3cf0690e9,keras/callbacks.py,ModelCheckpoint,on_epoch_end,#ModelCheckpoint#Any#Any#,197

Before Change

        self.best_val_loss = np.Inf

    def on_epoch_end(self, epoch, logs={}):
        if self.save_best_only and self.params["do_validation"]:
            cur_val_loss = logs.get("val_loss")
            self.val_loss.append(cur_val_loss)
            if cur_val_loss < self.best_val_loss:

After Change

        if self.save_best_only:
            current = logs.get(self.monitor)
            if current is None:
                warnings.warn("Can save best model only with %s available, skipping." % (self.monitor), RuntimeWarning)
            else:
                if current < self.best:
                    if self.verbose > 0:
                        print("Epoch %05d: %s improved from %0.5f to %0.5f, saving model to %s"

Instances