[
https://issues.apache.org/jira/browse/SPARK-7338?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14526544#comment-14526544
]
Amit Gupta commented on SPARK-7338:
-----------------------------------
Be widely known: Implemented by well known open source H2O and perhaps the only
one provided by any Big Data ML Platform
Be used and accepted: Is used in medical, advertisement, marketing and web
domain
Be highly salable: Please refer to
http://docs.0xdata.com/datascience/coxph.html as they use it over Hadoop
Be well documented: Please refer to
http://docs.0xdata.com/datascience/coxph.html
Have APIs consistent with other algorithms in MLLib that accomplish the same
thing: Not sure
Come with a reasonable expectation of developer support.
Please let me know if above information are sufficient and looks reasonable
otherwise I will close it.
> Survival Modelling - Cox proportional hazards
> ---------------------------------------------
>
> Key: SPARK-7338
> URL: https://issues.apache.org/jira/browse/SPARK-7338
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: Amit Gupta
>
> One very important model in space of Survival Modelling is missing from Spark
> MLLib v1.3.1. It would be good if Cox Proportional Hazards could be available
> in next release.
> Please refer to link for more details:
> http://en.wikipedia.org/wiki/Proportional_hazards_model
--
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
