Investigate using MLEAP for serilization of models
Closed, DeclinedPublic
Actions

Assigned To

None

Authored By

	Ladsgroup
	Feb 10 2019, 5:57 PM

Description

"The state of machine learning operations in 2019: reproducibility, explainability, bias evaluation and beyond" at FOSDEM 2019 talks about MLEAP that serialize and deserialize scitkit learn models for deployment and release pipielines. It seems a good alternative for pickle

Event Timeline

Ladsgroup created this task.Feb 10 2019, 5:57 PM

Restricted Application added subscribers: jeblad, Aklapper. · View Herald TranscriptFeb 10 2019, 5:57 PM

I don't see anywhere in the readme that talks about model serialization formats for models. It looks like this instead serializes a "pipeline" which seems to convert raw data to features.

Halfak edited projects, added Machine-Learning-Team (Research); removed Machine-Learning-Team.Apr 2 2019, 9:32 PM

Restricted Application edited projects, added Machine-Learning-Team; removed Machine-Learning-Team (Research). · View Herald TranscriptApr 2 2019, 9:32 PM

Harej edited projects, added Machine-Learning-Team (Research); removed Machine-Learning-Team.Apr 3 2019, 4:33 AM

Harej triaged this task as Lowest priority.Apr 9 2019, 9:06 PM

Ladsgroup unsubscribed.Apr 17 2019, 7:25 PM

calbon closed this task as Declined.Sep 23 2020, 4:48 PM

Investigate using MLEAP for serilization of modelsClosed, DeclinedPublicActions

Description

Event Timeline

Investigate using MLEAP for serilization of models
Closed, DeclinedPublic
Actions