I used a subset of data from TCGA for test. However, I met the error like this:
Error in predict.xgb.Booster(mi$bst, Xbin) :
[22:12:42] amalgamation/../src/learner.cc:506: Check failed: mparam_.num_feature != 0 (0 vs. 0) : 0 feature is supplied. Are you using raw Booster interface?
Could you help to solve this?
I think it might be good to add a test data for others to use this tool !
Hi,
I used a subset of data from TCGA for test. However, I met the error like this:![image](https://user-images.githubusercontent.com/28949856/88933584-30070700-d2b2-11ea-8ca4-d59e225aa3e5.png)
Could you help to solve this? I think it might be good to add a test data for others to use this tool !