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| author | Yanbo Liang <ybliang8@gmail.com> | 2015-09-17 21:37:10 -0700 |
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| committer | Xiangrui Meng <meng@databricks.com> | 2015-09-17 21:37:10 -0700 |
| commit | 98f1ea67da1b0e3aa791c3cbfa06e48e2ba0d75b (patch) | |
| tree | 667348315237c6a2543080958789341d75b679f7 /bagel | |
| parent | 0f5ef6dfa67a068606aff8ea9d1addfce73446eb (diff) | |
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[SPARK-8518] [ML] Log-linear models for survival analysis
[Accelerated Failure Time (AFT) model](https://en.wikipedia.org/wiki/Accelerated_failure_time_model) is the most commonly used and easy to parallel method of survival analysis for censored survival data. It is the log-linear model based on the Weibull distribution of the survival time.
Users can refer to the R function [```survreg```](https://stat.ethz.ch/R-manual/R-devel/library/survival/html/survreg.html) to compare the model and [```predict```](https://stat.ethz.ch/R-manual/R-devel/library/survival/html/predict.survreg.html) to compare the prediction. There are different kinds of model prediction, I have just select the type ```response``` which is default used for R.
Author: Yanbo Liang <ybliang8@gmail.com>
Closes #8611 from yanboliang/spark-8518.
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