def reset_meter()

in torchnet/logger/meterlogger.py [0:0]

• 10 lines of code
• 4 McCabe index (conditional complexity)

    def reset_meter(self, iepoch, mode='Train'):
        self.timer.reset()
        for key in self.meter.keys():
            val = self.meter[key].value()
            val = val[0] if isinstance(val, (list, tuple)) else val
            if key in ['confusion', 'histogram', 'image']:
                self.logger[mode][key].log(val)
            else:
                self.logger[mode][key].log(iepoch, val, name=mode)
            self.meter[key].reset()