Problem: Function runs slowly or runs out of memory.
Workarounds:
Decrease the memory footprint of the model by decreasing the value of these arguments:
- NumBoostedTrees (the number of parallel boosted trees to consider during prediction)
- IterNum (the number of iterations for each boosted tree to consider during prediction)