Hi,I'm working improving classification throughput for a decision forest. I was wondering about the use case for Partial Implementation.
The quick start guide suggests that Partial Implementation is designed for building forest on large datasets.
My problem is classification after training. Is Partial Implementation helpful for this use case?
