main.8.6.py 文件源码

def on_epoch_end(self, epoch, logs=None):
        for k in self.params['metrics']:
            if k in logs:
                self.mesg+=(k+': '+str(logs[k])[:5]+' ')
                self.logs_epochs.setdefault(k, []).append(logs[k])



        if epoch+1>=self.stopped_epoch:
            self.model.stop_training = True
        logs = logs or {}
        self.epoch.append(epoch)
        self.t_epochs.append(time.time()-self.t_s)
        if self.savelog:
            sio.savemat((self.fexten if self.fexten else self.validateTitle(self.localtime))+'_logs_batches'+'.mat',{'log':np.array(self.logs_batches)})
            sio.savemat((self.fexten if self.fexten else self.validateTitle(self.localtime))+'_logs_batches'+'.mat',{'log':np.array(self.logs_epochs)})
        th.start_new_thread(self.get_fig,())



        self.t_send(self.mesg)
        return