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Status Future consideration
Workspace Openscale
Created by Guest
Created on Aug 14, 2020

Open to allow WMLA user to add their own algorithms

Our team would like to try WMLA EDT to train model using most up to date, state of the art algorithm. However, these algorithm is not supported by WMLA. It will be best if WMLA allows users, who are data scientist, developer, or machine learning engineer the add algorithm on their own.

  • Guest
    Reply
    |
    Aug 25, 2020

    Hi Kelvin,

    Sample as in user of EDT can study that and when the next algorithm comes around, the user can take a stab at enabling the next algorithm to be trainable by EDT

    Yusuf

  • Guest
    Reply
    |
    Aug 25, 2020

    Hi Kelvin,

    Sample as in user of EDT can study that and when the next algorithm comes around, the user can take a stab at enabling the next algorithm to be trainable by EDT

    Yusuf

  • Guest
    Reply
    |
    Aug 24, 2020

    Hi Yusuf,

    Per discussion the scope of this RFE is to deliver sample EDT Detectron2 model . Thanks.

    Kelvin

  • Guest
    Reply
    |
    Aug 18, 2020

    Hi Yusuf,

    To be concise are you looking for EDT support on following models:
    - PyTorch FastRCNN
    - GoogleNet
    - Detectron

    Thanks.