User 942 | 3/26/2015, 12:01:33 PM
I am trying to implement a recommender system using GraphLab Create open source. It is mostly similar to NMF.
Q1) In terms of efficiency, is the python toolkit even competitive or should I really use the C++ SDK ? I don't mind loosing 3x in terms of speed but not 1000x. One key thing is to not copy data back and forth between iterations which leads to my second question.
I need to store 2 types of edges in the graph and triple-apply a function on each type respectively. So I have a type attribute for my edges, I can create a subgraph by selecting the relevant type but I need the vertex data to be shared and not copied between the 2 different triple_apply. Is it possible ?