Remove recommendations from HIN object after storage
The current implementation produces all recommendations in memory then stores them in the appropriate data store. Although HINPy
does not feature a streaming design, jogl-recsys
can store each recommendation as it is produced and remove results from the HINPy
object to save some memory.
Edited by Luis Arias