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https://issues.apache.org/jira/browse/BEAM-13983?focusedWorklogId=763921&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-763921
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ASF GitHub Bot logged work on BEAM-13983:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 28/Apr/22 22:27
Start Date: 28/Apr/22 22:27
Worklog Time Spent: 10m
Work Description: TheNeuralBit commented on PR #17496:
URL: https://github.com/apache/beam/pull/17496#issuecomment-1112711287
Thanks for the explanation! That makes sense, I didn't realize that Python
wouldn't error in the event of a collision.
I might avoid the duplication of "inference" and just have an ml package
with {module}_inference then, e.g. `apache_beam.ml.sklearn_inference`
Issue Time Tracking
-------------------
Worklog Id: (was: 763921)
Time Spent: 8h 40m (was: 8.5h)
> Implement RunInference for Scikit-learn
> ---------------------------------------
>
> Key: BEAM-13983
> URL: https://issues.apache.org/jira/browse/BEAM-13983
> Project: Beam
> Issue Type: Sub-task
> Components: sdk-py-core
> Reporter: Andy Ye
> Assignee: Ryan Thompson
> Priority: P2
> Labels: run-inference
> Time Spent: 8h 40m
> Remaining Estimate: 0h
>
> Implement RunInference for Scikit-learn as described in the design doc
> [https://s.apache.org/inference-sklearn-pytorch]
> There will be a sklearn_impl.py file that contains SklearnModelLoader and
> SlkearnInferenceRunner classes.
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