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Yanbo Liang commented on SPARK-10687: ------------------------------------- [~mengxr] Due to the Cox’s Proportional Hazard model is not easy to be implemented efficiently in Spark, I think the most common used non-parametric survival analysis model is Kaplan-Meier model. But it only give us an “average” view of the population rather than regression over covariates. I have update the design documents of SPARK-8518, please feel free to comment on the section of "Planning for the future". > Discuss nonparametric survival analysis model > --------------------------------------------- > > Key: SPARK-10687 > URL: https://issues.apache.org/jira/browse/SPARK-10687 > Project: Spark > Issue Type: Brainstorming > Components: ML > Reporter: Xiangrui Meng > Assignee: Xiangrui Meng > > Created this JIRA to discuss nonparametric survival models and feasibility to > implement them on Spark. Please also check the design doc posted on > SPARK-8518. -- 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