Hi, I’m constructing a QuantileDMatrix
from 75GB of data in numpy arrays, and seeing RAM usage reach ~215GB, which conforms to what was mentioned in this thread re: copying numpy data to DMatrix
.
Is this still expected when constructing QuantileDMatrix
? I was expecting the memory usage to be smaller when constructing QuantileDMatrix
vs. DMatrix
.