Maniphest T269171

Create documentation for a workflow for evaluating models submitted for deployment.
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	calbon
	Dec 1 2020, 9:39 PM

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Description

As a member of the MLP team, I want to be able to decide whether a model is appropriate for deployment in terms of learning algorithm, model size, etc.

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		Status	Subtype	Assigned	Task
		Open		None	T333453 Lift Wing improvements to get out of MVP state
		Duplicate		calbon	T269171 Create documentation for a workflow for evaluating models submitted for deployment.

Event Timeline

calbon created this task.Dec 1 2020, 9:39 PM

Restricted Application added a subscriber: Aklapper. · View Herald TranscriptDec 1 2020, 9:39 PM

calbon moved this task from Parked to Non-Epic on the Machine-Learning-Team (Active Tasks) board.Jan 28 2021, 5:50 PM

calbon moved this task from Active Tasks to Unsorted on the Machine-Learning-Team board.Jan 28 2021, 6:19 PM

calbon edited projects, added Machine-Learning-Team; removed Machine-Learning-Team (Active Tasks).

calbon moved this task from Unsorted to Backlog/Ethical ML on the Machine-Learning-Team board.Nov 15 2022, 3:31 PM

elukey moved this task from Backlog/Ethical ML to New Projects to review on the Machine-Learning-Team board.Mar 17 2023, 10:14 AM

elukey added a parent task: T333453: Lift Wing improvements to get out of MVP state.Mar 29 2023, 3:12 PM

elukey closed this task as a duplicate of T332711: create checklist before adding models to api gateway/prod.May 15 2023, 3:00 PM