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Apple has open-sourced Turi which is a powerful graph processing framework. We should evaluate this tech with the following critera:
functionality
easy of use
easy of scalability
performance
This task would be to ingest a > 1M edge dataset and perform a set of graph tasks e.g. BFS/DFS, graph traversal, grabbing neighbours, random sampling.
User Story
As a: data scientist
I want: the graph processing part of the library to be fast and have lots of functionality
so that: I can move on to my tensorflow part to build my model
Done Checklist (Development)
Small experiment setup to run the evaluation, e.g. python script file
Documentation on Google Docs
Team demo
The text was updated successfully, but these errors were encountered:
Description
Apple has open-sourced Turi which is a powerful graph processing framework. We should evaluate this tech with the following critera:
This task would be to ingest a > 1M edge dataset and perform a set of graph tasks e.g. BFS/DFS, graph traversal, grabbing neighbours, random sampling.
User Story
As a: data scientist
I want: the graph processing part of the library to be fast and have lots of functionality
so that: I can move on to my tensorflow part to build my model
Done Checklist (Development)
The text was updated successfully, but these errors were encountered: