[ https://issues.apache.org/jira/browse/SPARK-13097?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng updated SPARK-13097: ---------------------------------- Assignee: Mike Seddon (was: Xiangrui Meng) > Extend Binarizer to allow Double AND Vector inputs > -------------------------------------------------- > > Key: SPARK-13097 > URL: https://issues.apache.org/jira/browse/SPARK-13097 > Project: Spark > Issue Type: Improvement > Components: ML > Reporter: Mike Seddon > Assignee: Mike Seddon > Priority: Minor > > To enhance the existing SparkML Binarizer [SPARK-5891] to allow Vector in > addition to the existing Double input column type. > https://github.com/apache/spark/pull/10976 > A use case for this enhancement is for when a user wants to Binarize many > similar feature columns at once using the same threshold value. > A real-world example for this would be where the authors of one of the > leading MNIST handwriting character recognition entries converts 784 > grayscale (0-255) pixels (28x28 pixel images) to binary if the pixel's > grayscale exceeds 127.5: (http://arxiv.org/abs/1003.0358). With this > modification the user is able to: VectorAssembler(784 > columns)->Binarizer(127.5)->Classifier as all the pixels are of a similar > type. > This approach also allows much easier use of the ParamGridBuilder to test > multiple theshold values. > I have already written the code and unit tests and have tested in a > Multilayer perceptron classifier workflow. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org