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Xiangrui Meng commented on SPARK-8518: -------------------------------------- [~yanboliang] Let's narrow the goal of this JIRA to the log-linear model. I didn't know that it is the same as CoxPHModel. You mentioned that all the models listed in your design doc are non-parametric, but log-linear model is parametric. Could you update the design doc and move other models to a section called "out of scope"? It is okay to keep the content, which we can refer to if we want to implement more in the future. For the log-linear model, please list the proposed public API and some analysis about its complexity. [~meihuawu] You are definitely welcomed to contribute:) Because you are a first-time MLlib contributor, I will let [~yanboliang] to the coding part and you help review his design doc and pull request. Note that the goal is to implement a version with minimal number of features. Other useful features could come in follow-up PRs. Thanks!! > Log-linear models for survival analysis > --------------------------------------- > > Key: SPARK-8518 > URL: https://issues.apache.org/jira/browse/SPARK-8518 > Project: Spark > Issue Type: New Feature > Components: ML > Reporter: Xiangrui Meng > Assignee: Yanbo Liang > Original Estimate: 168h > Remaining Estimate: 168h > > We want to add basic log-linear models for survival analysis. The > implementation should match the result from R's survival package > (http://cran.r-project.org/web/packages/survival/index.html). > Design doc from [~yanboliang]: > https://docs.google.com/document/d/1fLtB0sqg2HlfqdrJlNHPhpfXO0Zb2_avZrxiVoPEs0E/pub -- 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