aws / aws/sagemaker-python-sdk

SageMaker Model Cards UI doesn't show Model Cards created using model package details

Aperta
#5,080 0 commenti 0 reazioni 0 assegnatari Vedi su GitHub
component: Inference APIs and Interfaces type: bug
Lingua principale
Python
Stelle
2.3k
Fork
1.3k
Merge medio
1g 22h
PR unite (30g)
35

Descrizione

Describe the bug
When creating a model card using model package details, the model card is created and visible from the CLI but is not visible in the Model Cards section of the UI.

To reproduce
Create a model package details object like below. The code was obtained from the following [AWS article](https://aws.amazon.com/blogs/machine-learning/integrate-amazon-sagemaker-model-cards-with-the-model-registry/).

mp = ModelPackage.from_model_package_arn(
model_package_arn="arn:aws:sagemaker:us-east-2:000000000000:model-package/test-model-cards/7"
)

mc = ModelCard(
name="test-model-card-from-model-package",
model_package_details=mp
)

mc.create()
The output from the create function returns the ARN of the newly created model card i.e. arn:aws:sagemaker:us-east-2:000000000000:model-card/test-model-card-from-model-package' but does not show in the UI.

Expected behavior
The model card should be visible under Governance -> Model cards section of the SageMaker management console UI.

Screenshots or logs

Image

Model card can be found using CLI command aws sagemaker list-model-cards
list_model_cards_output

System information
A description of your system. Please provide:

SageMaker Python SDK version: 2.184.0
Framework name (eg. PyTorch) or algorithm (eg. KMeans): SKLearn
Framework version: 0.23-1
Python version: 3.10
CPU or GPU: CPU
Custom Docker image (Y/N): N
It should also be noted that we are experiencing this issue with custom algorithms deployed as ECR images.

Additional context
This is the same issue as the unresolved bug from 2023 which is already closed
https://github.com/aws/sagemaker-python-sdk/issues/4120

Guida per i contributori

Apri la guida per i contributori

Direzione di ricerca

I punti di ingresso indicati sono ModelPackage.from_model_package_arn, ModelCard(...), mc.create() e aws sagemaker list-model-cards; confronta i campi della model card creata con i campi elencati dalla Model Cards UI. Esamina la issue #4120 e verifica il risultato in Governance → Model cards; il lavoro è completato quando le card create dai dettagli del model package compaiono lì.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Valutazione

Stack tecnologico
aws, machine-learning, python
Ambito
cloud, machine-learning
Tipo di issue
Bug
Difficoltà
4/5
Tempo stimato
3-5 giorni
Stato di attività
Ferma
Chiarezza
Abbastanza chiara
Idoneità per principianti
35/100

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