Xiangrui Meng created SPARK-15944: ------------------------------------- Summary: Make spark.ml package backward compatible with spark.mllib vectors Key: SPARK-15944 URL: https://issues.apache.org/jira/browse/SPARK-15944 Project: Spark Issue Type: Umbrella Components: ML, MLlib Affects Versions: 2.0.0 Reporter: Xiangrui Meng Assignee: Xiangrui Meng Priority: Critical
During QA, we found that it is not trivial to convert a DataFrame with old vector columns to new vector columns. So it would be easier for users to migrate their datasets and pipelines if we: 1) provide utils to convert DataFrames with vector columns 2) automatically detect and convert old vector columns in ML pipelines This is an umbrella JIRA to track the progress. -- 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