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[FEATURE] Implement non-tensorflow specific custom Preprocessing step #39

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hamzamaiot opened this issue Feb 10, 2021 · 2 comments
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@hamzamaiot
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hamzamaiot commented Feb 10, 2021

Is your feature request related to a problem? Please describe.
Not everyone would like to use Tensorflow Transform, due to any reason whether it be complex logic or a legacy codebase.

Describe the solution you'd like
A simple Pythonic interface that receives data in an understood format and then preprocesses in a certain format.

Describe alternatives you've considered

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@htahir1 htahir1 changed the title [FEATURE] Implement CustomTransform Step for non-tensorflow custom preprocessing (especially with PyTorch) [FEATURE] Implement CustomTransform Step for non-tensorflow custom preprocessing Feb 10, 2021
@htahir1 htahir1 changed the title [FEATURE] Implement CustomTransform Step for non-tensorflow custom preprocessing [FEATURE] Implement non-tensorflow specific custom Preprocessing step Feb 10, 2021
@patrickphat
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I would like to participating in implementing this. Can you please help me clarify further?

@htahir1
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htahir1 commented Jun 27, 2021

@patrickphat We are currently revamping ZenML internally to make this a lot easier, so it will be a bit hard to start this at this point in time. However, please join on Slack and DM me, we can have a chat about a potential contribution!

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3 participants