| #------------------------------------------------------------- |
| # |
| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, |
| # software distributed under the License is distributed on an |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| # KIND, either express or implied. See the License for the |
| # specific language governing permissions and limitations |
| # under the License. |
| # |
| #------------------------------------------------------------- |
| |
| # Returns the modified symmetric means absolute percentage error between the two inputs |
| # |
| # |
| # Monash Time Series Forecasting Archive |
| # Rakshitha Godahewaa,∗, Christoph Bergmeira , Geoffrey I. Webba , Rob J. Hyndmanb , |
| # Pablo Montero-Mansoc |
| # |
| # INPUT: |
| # -------------------------------------------------------------------------------- |
| # X First Matrix to compare |
| # Y Second Matrix to compare |
| # -------------------------------------------------------------------------------- |
| # |
| # OUTPUT: |
| # ----------------------------------------------------------------------------------------------- |
| # Z The modified symmetric mean absolute percentage error |
| # ----------------------------------------------------------------------------------------------- |
| |
| m_msmape = function(Matrix[Double] X, Matrix[Double] Y, Matrix[Double] P = matrix(0, rows=0, cols=0), |
| Double eps = 1e-10) return (Matrix[Double] Z, Matrix[Double] Q) { |
| top = abs(X - Y) |
| denom_1 = abs(X) + abs(Y) + eps |
| denom_2 = 0.5 + eps |
| denom = max(denom_1, denom_2) / 2 |
| MSAPE = top / denom |
| Z = as.matrix(mean(MSAPE)) |
| Q = flattenQuantile(MSAPE, P) |
| } |