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Investigate Turi for graph processing in the ML library and platform #52

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arc0 opened this issue May 18, 2018 · 1 comment
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@arc0
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arc0 commented May 18, 2018

Description

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
@arc0 arc0 added this to the Sprint 4 milestone May 18, 2018
@arc0 arc0 added the ml-team label May 18, 2018
@arc0 arc0 removed this from the Sprint 4 milestone Jun 4, 2018
@adocherty
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This is being done by d2d.

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