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yuhao yang commented on SPARK-16000: ------------------------------------ Hi [~mengxr], I'm expecting a lot of work needs to be done to support this. Currently a lot of algorithms in package classfication, regression, feature, recommendation and LDA in clustering need some fix as they have used vector and matrix to save/load some information. We probably also need convertMatrixColumnsToML/convertMatrixColumnsFromML. My most optimistic estimation for the task is two weeks. If we do want this in 2.0, I'll start create sub-tasks. cc [~josephkb] > Make model loading backward compatible with saved models using old vector > columns > --------------------------------------------------------------------------------- > > Key: SPARK-16000 > URL: https://issues.apache.org/jira/browse/SPARK-16000 > Project: Spark > Issue Type: Sub-task > Components: ML, MLlib > Reporter: Xiangrui Meng > Assignee: yuhao yang > > To help users migrate from Spark 1.6. to 2.0, we should make model loading > backward compatible with models saved in 1.6. The main incompatibility is the > vector column type change. -- 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