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Encapsulate the trained model in a Docker image #2

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krook opened this issue Oct 5, 2019 · 6 comments
Open

Encapsulate the trained model in a Docker image #2

krook opened this issue Oct 5, 2019 · 6 comments
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enhancement New feature or request help wanted Extra attention is needed

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@krook
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krook commented Oct 5, 2019

Is your feature request related to a problem? Please describe.
The IBM Model Asset Exchange provides a way to reuse models instead of having to train them manually.

Describe the solution you'd like
The trained model materials need to be packaged and shared through MAX.

Describe alternatives you've considered
Training the model each time for each platform.

Additional context
This could be related to any other Dockerization steps.

@krook krook added enhancement New feature or request help wanted Extra attention is needed labels Oct 5, 2019
krook pushed a commit that referenced this issue Oct 23, 2019
@krook
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krook commented Mar 28, 2020

@vabarbosa Do you know who the right person is to explore this?

@vabarbosa
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i've reached out to @gdequeiroz, @MLnick, and @ptitzler.
hopefully they will be able to provide some guidance.

@krook
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krook commented Mar 30, 2020

Thank you @vabarbosa

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krook commented Apr 10, 2020

Looks like this is the starting point for the process: https://github.com/CODAIT/max-central-repo#contributing-to-the-model-asset-exchange

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krook commented Jun 24, 2020

I still think this could be some lower hanging fruit than encapsulating the setup code into Docker.

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krook commented Jun 24, 2021

Partially done with @upkarlidder's Code Engine contribution in #44

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