This repository has been archived by the owner on Sep 13, 2023. It is now read-only.
Support "unknown" model type #188
Labels
ml-framework
ML Framework support
p2-medium
Medium priority
serialization
Dumping and loading Python objects
For unsupported model types we can add a "mock"
model_type
.This way we'll enable users to use different mlem commands that dont need to load actual model like
clone
.RN, the process is python model obj -> getting model type with analyzer (methods, requirements, io)-> producing artifacts from ModelIO -> saving metadata
For unknown models, users can do analyzers work manually like this
python model object -> user saves model manually -> generates empty metadata from files like
ModelMeta.from_files(...)
-> optionally fills metadata manually (adding requirements and stuff) -> saves metadataThe text was updated successfully, but these errors were encountered: