Return an(2*torch.abs(outputs-answers)/(torch.abs(answers)+torch. It can be regarded as a kind of improvement of Mean Absolute Percentage Error ( MAPE ), because MAPE does not predict the limit for the case where the predicted value is higher than the actual value, but it has the lower case, so it will be called symmetry. PyTorch is a very useful deep learning framework, so I will also add the PyTorch version here. Print('%'.format(smape(actual, forecast))) Equipped with the new AS2.0 chipset, the Aegis X supports Memory (M1-4)/ Power/ TC (SS, Ni, Ti, TCR)/ VPC and Bypass mode to meet different vaping needs. It features waterproof, shockproof, and dustproof and powered by dual 18650 batteries with a maximum output power of 200W. Return 1/len(a) * np.sum(2*np.abs(f-a)/(np.abs(a)+np.abs(f))*100)Īctual = np.array()įorecast = np.array() Geekvape Aegis X Kit included Aegis X Box Mod and Z Sub Ohm Tank. The following programs use the numpy package. This evaluation metric is mostly used for regression problems rather than classification problems. It can be regarded as a kind of improvement of Mean Absolute Percentage Error ( MAPE), because MAPE does not predict the limit for the case where the predicted value is higher than the actual value, but it has the lower case, so it will be called symmetry. Symmetric Mean Absolute Percentage Error ( SMAPE) is a classic evaluation metric for ' predicted value and actual value'.