spark-instrumented-optimizer/mllib
Yanbo Liang 98f1ea67da [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.
2015-09-17 21:37:10 -07:00
..
src [SPARK-8518] [ML] Log-linear models for survival analysis 2015-09-17 21:37:10 -07:00
pom.xml Revert "[SPARK-10300] [BUILD] [TESTS] Add support for test tags in run-tests.py." 2015-09-15 13:03:38 -07:00