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ASF GitHub Bot commented on FLINK-1737: --------------------------------------- Github user rmetzger commented on the pull request: https://github.com/apache/flink/pull/1078#issuecomment-138826497 Your build is failing due to scalastyle checks ``` [INFO] [INFO] --- maven-failsafe-plugin:2.17:verify (default) @ flink-ml --- [INFO] Failsafe report directory: /home/travis/build/apache/flink/flink-staging/flink-ml/target/failsafe-reports [INFO] [INFO] --- scalastyle-maven-plugin:0.5.0:check (default) @ flink-ml --- error file=/home/travis/build/apache/flink/flink-staging/flink-ml/src/test/scala/org/apache/flink/ml/math/DenseVectorSuite.scala message=File line length exceeds 100 characters line=101 error file=/home/travis/build/apache/flink/flink-staging/flink-ml/src/test/scala/org/apache/flink/ml/math/DenseVectorSuite.scala message=File line length exceeds 100 characters line=108 error file=/home/travis/build/apache/flink/flink-staging/flink-ml/src/test/scala/org/apache/flink/ml/math/DenseVectorSuite.scala message=File line length exceeds 100 characters line=111 error file=/home/travis/build/apache/flink/flink-staging/flink-ml/src/test/scala/org/apache/flink/ml/math/DenseVectorSuite.scala message=File line length exceeds 100 characters line=118 error file=/home/travis/build/apache/flink/flink-staging/flink-ml/src/test/scala/org/apache/flink/ml/math/DenseVectorSuite.scala message=File line length exceeds 100 characters line=125 error file=/home/travis/build/apache/flink/flink-staging/flink-ml/src/test/scala/org/apache/flink/ml/math/DenseVectorSuite.scala message=File line length exceeds 100 characters line=132 error file=/home/travis/build/apache/flink/flink-staging/flink-ml/src/test/scala/org/apache/flink/ml/math/DenseVectorSuite.scala message=File line length exceeds 100 characters line=136 error file=/home/travis/build/apache/flink/flink-staging/flink-ml/src/test/scala/org/apache/flink/ml/math/DenseVectorSuite.scala message=File line length exceeds 100 characters line=139 error file=/home/travis/build/apache/flink/flink-staging/flink-ml/src/test/scala/org/apache/flink/ml/math/DenseVectorSuite.scala message=File line length exceeds 100 characters line=146 error file=/home/travis/build/apache/flink/flink-staging/flink-ml/src/test/scala/org/apache/flink/ml/math/SparseVectorSuite.scala message=File line length exceeds 100 characters line=151 error file=/home/travis/build/apache/flink/flink-staging/flink-ml/src/test/scala/org/apache/flink/ml/math/SparseVectorSuite.scala message=File line length exceeds 100 characters line=158 error file=/home/travis/build/apache/flink/flink-staging/flink-ml/src/test/scala/org/apache/flink/ml/math/SparseVectorSuite.scala message=File line length exceeds 100 characters line=162 error file=/home/travis/build/apache/flink/flink-staging/flink-ml/src/test/scala/org/apache/flink/ml/math/SparseVectorSuite.scala message=File line length exceeds 100 characters line=169 error file=/home/travis/build/apache/flink/flink-staging/flink-ml/src/test/scala/org/apache/flink/ml/math/SparseVectorSuite.scala message=File line length exceeds 100 characters line=176 error file=/home/travis/build/apache/flink/flink-staging/flink-ml/src/test/scala/org/apache/flink/ml/math/SparseVectorSuite.scala message=File line length exceeds 100 characters line=180 error file=/home/travis/build/apache/flink/flink-staging/flink-ml/src/test/scala/org/apache/flink/ml/math/SparseVectorSuite.scala message=File line length exceeds 100 characters line=183 error file=/home/travis/build/apache/flink/flink-staging/flink-ml/src/test/scala/org/apache/flink/ml/math/SparseVectorSuite.scala message=File line length exceeds 100 characters line=190 Saving to outputFile=/home/travis/build/apache/flink/flink-staging/flink-ml/scalastyle-output.xml Processed 64 file(s) Found 17 errors ``` > Add statistical whitening transformation to machine learning library > -------------------------------------------------------------------- > > Key: FLINK-1737 > URL: https://issues.apache.org/jira/browse/FLINK-1737 > Project: Flink > Issue Type: New Feature > Components: Machine Learning Library > Reporter: Till Rohrmann > Assignee: Daniel Pape > Labels: ML, Starter > > The statistical whitening transformation [1] is a preprocessing step for > different ML algorithms. It decorrelates the individual dimensions and sets > its variance to 1. > Statistical whitening should be implemented as a {{Transfomer}}. > Resources: > [1] [http://en.wikipedia.org/wiki/Whitening_transformation] -- This message was sent by Atlassian JIRA (v6.3.4#6332)