XGBoostError: [14:10:53] src/learner.cc:963: Check failed: mparam_.num_feature != 0 (0 vs. 0) : 0 feature is supplied. Are you using raw Booster interface?

Hi All,

I am getting this error and am clueless to what to do. I tried to search for this error, could not find much useful resources.

The report names no notebook, file, test, or reproducible input. Start by locating the SageMaker example that produces this XGBoostError and gather the affected data and execution steps; done means the failure is reproducible and the example no longer supplies zero features.

Written by the indexing model from the issue text.