calculate p-value for AFT survival model in Spark
<p>I am using Spark ml library to do some survival analysis. <a href="http://spark.apache.org/docs/latest/ml-classification-regression.html#survival-regression" rel="nofollow">Here</a> is the documentation. After training an AFT survival model, I cannot get the p-value directly as in R. What is available for the model are a coefficients vector, scale, intercept, predictions and input data(Y and features). How can I use these variables to calculate p-value? Any advice is welcome. Thanks</p>