zhengruifeng created SPARK-19208: ------------------------------------ Summary: MaxAbsScaler and MinMaxScaler are very inefficient Key: SPARK-19208 URL: https://issues.apache.org/jira/browse/SPARK-19208 Project: Spark Issue Type: Improvement Components: ML Reporter: zhengruifeng
Now, {{MaxAbsScaler}} and {{MinMaxScaler}} are using {{MultivariateOnlineSummarizer}} to compute the min/max. However {{MultivariateOnlineSummarizer}} will also compute extra unused statistics. It slows down the task, moreover it is more prone to cause OOM. For example: env : --driver-memory 4G --executor-memory 1G --num-executors 4 data: 748401 instances, and 3,000,000 features {{MaxAbsScaler.fit}} fail because OOM {{MultivariateOnlineSummarizer}} maintain 8 arrays For {{MaxAbsScaler}}, only one array is needed (max of abs value) For {{MinMaxScaler}}, only 3 arrays are needed (max, min, nnz) -- 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