| #------------------------------------------------------------- |
| # |
| # 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. |
| # |
| #------------------------------------------------------------- |
| |
| # Apply robust scaling using precomputed medians and IQRs |
| # |
| # INPUT: |
| # ------------------------------------------------------------------------------------- |
| # X Input feature matrix of shape n-by-m |
| # med Column medians (Q2) of shape 1-by-m |
| # q1 Column first quantiles (Q1) of shape 1-by-m |
| # q3 Column first quantiles (Q3) of shape 1-by-m |
| # ------------------------------------------------------------------------------------- |
| # |
| # OUTPUT: |
| # ------------------------------------------------------------------------------------- |
| # Y Scaled output matrix of shape n-by-m |
| # ------------------------------------------------------------------------------------- |
| |
| m_scaleRobustApply = function(Matrix[Double] X, Matrix[Double] med, Matrix[Double] q1, Matrix[Double] q3) |
| return (Matrix[Double] Y) |
| { |
| iqr = q3 - q1 |
| |
| # Ensure robust scaling is safe by replacing invalid IQRs |
| iqr = replace(target=iqr, pattern=0, replacement=1) |
| iqr = replace(target=iqr, pattern=NaN, replacement=1) |
| |
| # Apply robust transformation |
| Y = (X - med) / iqr |
| } |