aws / aws/sagemaker-python-sdk
SageMaker Model Cards UI doesn't show Model Cards created using model package details
- 主要言語
- Python
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- 1日 22時間
- マージ済み PR(30日)
- 35
説明
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
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
コントリビューションガイド
調査の方向性
報告されているエントリポイントは ModelPackage.from_model_package_arn、ModelCard(...)、mc.create()、および aws sagemaker list-model-cards です。作成されたモデルカードのフィールドを、Model Cards UI に一覧表示されるフィールドと比較してください。issue #4120 を確認し、Governance → Model cards で結果を検証してください。Model package の詳細から作成されたカードがそこに表示されれば完了です。
索引モデルが issue の本文から書いたものです。
評価
- 技術スタック
- aws, machine-learning, python
- 領域
- cloud, machine-learning
- issue の種類
- バグ
- 難易度
- 4/5
- 見積もり時間
- 3〜5日
- 活発さ
- 停滞
- 明瞭さ
- おおむね明確
- 初心者へのやさしさ
- 35/100