@spark.apache.org
Subject: Re: mllib:Survival Analysis : assertion failed: AFTAggregator loss sum
is infinity. Error for unknown reason.
Hi Stuti,
The features should be standardized before training the model. Currently
AFTSurvivalRegression does not support standardization. Here is the work around
Hi Stuti,
The features should be standardized before training the model. Currently
AFTSurvivalRegression does not support standardization. Here is the work
around for this issue, and I will send a PR to fix this issue soon.
val ovarian = sqlContext.read
.format("com.databricks.spark.csv")
Hi Stuti,
This is a bug of AFTSurvivalRegression, we did not handle "lossSum ==
infinity" properly.
I have open https://issues.apache.org/jira/browse/SPARK-13322 to track this
issue and will send a PR.
Thanks for reporting this issue.
Yanbo
2016-02-12 15:03 GMT+08:00 Stuti Awasthi
Hi All,
Im wanted to try Survival Analysis on Spark 1.6. I am successfully able to run
the AFT example provided. Now I tried to train the model with Ovarian data
which is standard data comes with Survival library in R.
Default Column Name : Futime,fustat,age,resid_ds,rx,ecog_ps
Here are the
