| #------------------------------------------------------------- |
| # |
| # 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 means absolute error between the two inputs |
| # |
| # INPUT: |
| # -------------------------------------------------------------------------------- |
| # X First Matrix to compare |
| # Y Second Matrix to compare |
| # P Quantiles to extract as well if empty matrix not calculated |
| # -------------------------------------------------------------------------------- |
| # |
| # OUTPUT: |
| # ----------------------------------------------------------------------------------------------- |
| # Z Mean absolute error |
| # Q Quantiles calculated |
| # ----------------------------------------------------------------------------------------------- |
| |
| m_mae = function(Matrix[Double] X, Matrix[Double] Y, Matrix[Double] P = matrix(0, rows=0, cols=0)) |
| return (Matrix[Double] Z, Matrix[Double] Q) { |
| AE = abs(X - Y) |
| Z = as.matrix(mean(AE)) |
| Q = flattenQuantile(AE, P) |
| } |