Hi All, I wanted to apply Survival Analysis using Spark AFT algorithm implementation. Now I perform the same in R using coxph model and passing the model in Survfit() function to generate survival curves Then I can visualize the survival curve on validation data to understand how good my model fits.
R: Code fit <- coxph(Surv(futime, fustat) ~ age, data = ovarian) plot(survfit(fit,newdata=data.frame(age=60))) I wanted to achieve something similar with Spark. Hence I created the AFT model using Spark and passed my Test dataframe for prediction. The result of prediction is single prediction value for single input data which is as expected. But now how can I use this model to generate the Survival curves for visualization. Eg: Spark Code model.transform(test_final).show() standardized_features| prediction| +---------------------+-----------------+ | [0.0,0.0,0.743853...|48.33071792204102| +---------------------+-----------------+ Can any suggest how to use the developed model for plotting Survival Curves for "test_final" data which is a dataframe feature[vector]. Thanks Stuti Awasthi ::DISCLAIMER:: ---------------------------------------------------------------------------------------------------------------------------------------------------- The contents of this e-mail and any attachment(s) are confidential and intended for the named recipient(s) only. E-mail transmission is not guaranteed to be secure or error-free as information could be intercepted, corrupted, lost, destroyed, arrive late or incomplete, or may contain viruses in transmission. The e mail and its contents (with or without referred errors) shall therefore not attach any liability on the originator or HCL or its affiliates. Views or opinions, if any, presented in this email are solely those of the author and may not necessarily reflect the views or opinions of HCL or its affiliates. Any form of reproduction, dissemination, copying, disclosure, modification, distribution and / or publication of this message without the prior written consent of authorized representative of HCL is strictly prohibited. If you have received this email in error please delete it and notify the sender immediately. Before opening any email and/or attachments, please check them for viruses and other defects. ----------------------------------------------------------------------------------------------------------------------------------------------------
