Comments (2)
We are adding functionality (see PR #204) that adds ability to log arbitrary metadata with a model. So irrespective of how the model or artifacts have been generated, you can use the Python API to add this to the DB. Would this feature meet your need? (We are writing up a better read me for using the feature).
from modeldb.
Yes, this way is fine.
from modeldb.
Related Issues (20)
- please support pyyaml>5.4 HOT 2
- Cannot create_registered_model or get_or_create_registered_model HOT 3
- log_image support? HOT 2
- Got a 404 response when do create_registered_model HOT 2
- Creating local dataset versions not working as expected HOT 3
- verta.data_types doesn't work HOT 2
- verta doesn't support pyYAML 5.4 version HOT 7
- Current verta==0.20.0 version doesn't support click>=8.0 HOT 2
- Documentation: What is ModelDB what is Verta Platform? HOT 1
- Documentation: Model Serving? HOT 1
- docker compose run modeldb not found model registry HOT 3
- Unable to run docker-compose with WSL on Windows HOT 2
- Model registration is not working HOT 1
- Model registration is not working HOT 1
- Manage model dependencies doesn't work(logEnvironment 404) HOT 1
- Docker example: migration failed
- HTTPError 503, connection refused HOT 5
- Add a security policy
- Create SECURITY.md HOT 1
- Could not find artifact ai.verta:protos-public:jar:1.0-SNAPSHOT when building images from source HOT 1
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from modeldb.