Aktualisieren der Details einer Modellversion
Sie können Details einer bestimmten Modellversion entweder mithilfe von AWS SDK für Python (Boto3) oder der Konsole von Amazon SageMaker Studio anzeigen und aktualisieren.
Wichtig
Amazon SageMaker AI integriert Model Cards in Model Registry. Ein im Model Registry registriertes Modellpaket enthält eine vereinfachte Model Card als Bestandteil des Modellpakets. Weitere Informationen finden Sie unter Modellpaket, Modellkartenschema (Studio).
Anzeigen und Aktualisieren der Details einer Modellversion (Boto3)
Führen Sie die folgenden Schritte aus, um die Details einer Modellversion mithilfe von Boto3 anzuzeigen.
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Rufen Sie die
list_model_packages-API-Operation auf, um die Modellversionen in einer Modellgruppe anzuzeigen.sm_client.list_model_packages(ModelPackageGroupName="ModelGroup1")Die Antwort ist eine Liste mit Zusammenfassungen von Modellpaketen. Sie können den Amazon-Ressourcennamen (ARN) der Modellversionen aus dieser Liste abrufen.
{'ModelPackageSummaryList': [{'ModelPackageGroupName': 'AbaloneMPG-16039329888329896', 'ModelPackageVersion': 1, 'ModelPackageArn': 'arn:aws:sagemaker:us-east-2:123456789012:model-package/ModelGroup1/1', 'ModelPackageDescription': 'TestMe', 'CreationTime': datetime.datetime(2020, 10, 29, 1, 27, 46, 46000, tzinfo=tzlocal()), 'ModelPackageStatus': 'Completed', 'ModelApprovalStatus': 'Approved'}], 'ResponseMetadata': {'RequestId': '12345678-abcd-1234-abcd-aabbccddeeff', 'HTTPStatusCode': 200, 'HTTPHeaders': {'x-amzn-requestid': '12345678-abcd-1234-abcd-aabbccddeeff', 'content-type': 'application/x-amz-json-1.1', 'content-length': '349', 'date': 'Mon, 23 Nov 2020 04:56:50 GMT'}, 'RetryAttempts': 0}} -
Rufen Sie
describe_model_packageauf, um die Details der Modellversion zu erfahren. Sie übergeben den ARN einer Modellversion, den Sie in der Ausgabe des Aufrufs anlist_model_packageserhalten haben.sm_client.describe_model_package(ModelPackageName="arn:aws:sagemaker:us-east-2:123456789012:model-package/ModelGroup1/1")Die Ausgabe dieses Aufrufs ist ein JSON-Objekt mit den Details zur Modellversion.
{'ModelPackageGroupName': 'ModelGroup1', 'ModelPackageVersion': 1, 'ModelPackageArn': 'arn:aws:sagemaker:us-east-2:123456789012:model-package/ModelGroup/1', 'ModelPackageDescription': 'Test Model', 'CreationTime': datetime.datetime(2020, 10, 29, 1, 27, 46, 46000, tzinfo=tzlocal()), 'InferenceSpecification': {'Containers': [{'Image': '257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:1.0-1-cpu-py3', 'ImageDigest': 'sha256:99fa602cff19aee33297a5926f8497ca7bcd2a391b7d600300204eef803bca66', 'ModelDataUrl': 's3://sagemaker-us-east-2-123456789012/ModelGroup1/pipelines-0gdonccek7o9-AbaloneTrain-stmiylhtIR/output/model.tar.gz'}], 'SupportedTransformInstanceTypes': ['ml.m5.xlarge'], 'SupportedRealtimeInferenceInstanceTypes': ['ml.t2.medium', 'ml.m5.xlarge'], 'SupportedContentTypes': ['text/csv'], 'SupportedResponseMIMETypes': ['text/csv']}, 'ModelPackageStatus': 'Completed', 'ModelPackageStatusDetails': {'ValidationStatuses': [], 'ImageScanStatuses': []}, 'CertifyForMarketplace': False, 'ModelApprovalStatus': 'PendingManualApproval', 'LastModifiedTime': datetime.datetime(2020, 10, 29, 1, 28, 0, 438000, tzinfo=tzlocal()), 'ResponseMetadata': {'RequestId': '12345678-abcd-1234-abcd-aabbccddeeff', 'HTTPStatusCode': 200, 'HTTPHeaders': {'x-amzn-requestid': '212345678-abcd-1234-abcd-aabbccddeeff', 'content-type': 'application/x-amz-json-1.1', 'content-length': '1038', 'date': 'Mon, 23 Nov 2020 04:59:38 GMT'}, 'RetryAttempts': 0}}
Modellpaket, Modellkartenschema (Studio)
Alle Informationen zur Modellversion sind auf der Modellkarte des Modellpakets zusammengefasst. Die Modellkarte eines Modellpakets ist eine spezielle Verwendung der Amazon SageMaker SageMaker-Modellkarte und ihr Schema ist vereinfacht. Das Modellkartenschema des Modellpakets wird in der folgenden erweiterbaren Dropdownliste angezeigt.
{ "title": "SageMakerModelCardSchema", "description": "Schema of a model package’s model card.", "version": "0.1.0", "type": "object", "additionalProperties": false, "properties": { "model_overview": { "description": "Overview about the model.", "type": "object", "additionalProperties": false, "properties": { "model_creator": { "description": "Creator of model.", "type": "string", "maxLength": 1024 }, "model_artifact": { "description": "Location of the model artifact.", "type": "array", "maxContains": 15, "items": { "type": "string", "maxLength": 1024 } } } }, "intended_uses": { "description": "Intended usage of model.", "type": "object", "additionalProperties": false, "properties": { "purpose_of_model": { "description": "Reason the model was developed.", "type": "string", "maxLength": 2048 }, "intended_uses": { "description": "Intended use cases.", "type": "string", "maxLength": 2048 }, "factors_affecting_model_efficiency": { "type": "string", "maxLength": 2048 }, "risk_rating": { "description": "Risk rating for model card.", "$ref": "#/definitions/risk_rating" }, "explanations_for_risk_rating": { "type": "string", "maxLength": 2048 } } }, "business_details": { "description": "Business details of model.", "type": "object", "additionalProperties": false, "properties": { "business_problem": { "description": "Business problem solved by the model.", "type": "string", "maxLength": 2048 }, "business_stakeholders": { "description": "Business stakeholders.", "type": "string", "maxLength": 2048 }, "line_of_business": { "type": "string", "maxLength": 2048 } } }, "training_details": { "description": "Overview about the training.", "type": "object", "additionalProperties": false, "properties": { "objective_function": { "description": "The objective function for which the model is optimized.", "function": { "$ref": "#/definitions/objective_function" }, "notes": { "type": "string", "maxLength": 1024 } }, "training_observations": { "type": "string", "maxLength": 1024 }, "training_job_details": { "type": "object", "additionalProperties": false, "properties": { "training_arn": { "description": "SageMaker Training job ARN.", "type": "string", "maxLength": 1024 }, "training_datasets": { "description": "Location of the model datasets.", "type": "array", "maxContains": 15, "items": { "type": "string", "maxLength": 1024 } }, "training_environment": { "type": "object", "additionalProperties": false, "properties": { "container_image": { "description": "SageMaker training image URI.", "type": "array", "maxContains": 15, "items": { "type": "string", "maxLength": 1024 } } } }, "training_metrics": { "type": "array", "items": { "maxItems": 50, "$ref": "#/definitions/training_metric" } }, "user_provided_training_metrics": { "type": "array", "items": { "maxItems": 50, "$ref": "#/definitions/training_metric" } }, "hyper_parameters": { "type": "array", "items": { "maxItems": 100, "$ref": "#/definitions/training_hyper_parameter" } }, "user_provided_hyper_parameters": { "type": "array", "items": { "maxItems": 100, "$ref": "#/definitions/training_hyper_parameter" } } } } } }, "evaluation_details": { "type": "array", "default": [], "items": { "type": "object", "required": [ "name" ], "additionalProperties": false, "properties": { "name": { "type": "string", "pattern": ".{1,63}" }, "evaluation_observation": { "type": "string", "maxLength": 2096 }, "evaluation_job_arn": { "type": "string", "maxLength": 256 }, "datasets": { "type": "array", "items": { "type": "string", "maxLength": 1024 }, "maxItems": 10 }, "metadata": { "description": "Additional attributes associated with the evaluation results.", "type": "object", "additionalProperties": { "type": "string", "maxLength": 1024 } }, "metric_groups": { "type": "array", "default": [], "items": { "type": "object", "required": [ "name", "metric_data" ], "properties": { "name": { "type": "string", "pattern": ".{1,63}" }, "metric_data": { "type": "array", "items": { "anyOf": [ { "$ref": "#/definitions/simple_metric" }, { "$ref": "#/definitions/linear_graph_metric" }, { "$ref": "#/definitions/bar_chart_metric" }, { "$ref": "#/definitions/matrix_metric" } ] } } } } } } } }, "additional_information": { "additionalProperties": false, "type": "object", "properties": { "ethical_considerations": { "description": "Ethical considerations for model users.", "type": "string", "maxLength": 2048 }, "caveats_and_recommendations": { "description": "Caveats and recommendations for model users.", "type": "string", "maxLength": 2048 }, "custom_details": { "type": "object", "additionalProperties": { "$ref": "#/definitions/custom_property" } } } } }, "definitions": { "source_algorithms": { "type": "array", "minContains": 1, "maxContains": 1, "items": { "type": "object", "additionalProperties": false, "required": [ "algorithm_name" ], "properties": { "algorithm_name": { "description": "The name of the algorithm used to create the model package. The algorithm must be either an algorithm resource in your SageMaker AI account or an algorithm in AWS Marketplace that you are subscribed to.", "type": "string", "maxLength": 170 }, "model_data_url": { "description": "Amazon S3 path where the model artifacts, which result from model training, are stored.", "type": "string", "maxLength": 1024 } } } }, "inference_specification": { "type": "object", "additionalProperties": false, "required": [ "containers" ], "properties": { "containers": { "description": "Contains inference related information used to create model package.", "type": "array", "minContains": 1, "maxContains": 15, "items": { "type": "object", "additionalProperties": false, "required": [ "image" ], "properties": { "model_data_url": { "description": "Amazon S3 path where the model artifacts, which result from model training, are stored.", "type": "string", "maxLength": 1024 }, "image": { "description": "Inference environment path. The Amazon Elastic Container Registry (Amazon ECR) path where inference code is stored.", "type": "string", "maxLength": 255 }, "nearest_model_name": { "description": "The name of a pre-trained machine learning benchmarked by an Amazon SageMaker Inference Recommender model that matches your model.", "type": "string" } } } } } }, "risk_rating": { "description": "Risk rating of model.", "type": "string", "enum": [ "High", "Medium", "Low", "Unknown" ] }, "custom_property": { "description": "Additional property.", "type": "string", "maxLength": 1024 }, "objective_function": { "description": "Objective function for which the training job is optimized.", "additionalProperties": false, "properties": { "function": { "type": "string", "enum": [ "Maximize", "Minimize" ] }, "facet": { "type": "string", "maxLength": 63 }, "condition": { "type": "string", "maxLength": 63 } } }, "training_metric": { "description": "Training metric data.", "type": "object", "required": [ "name", "value" ], "additionalProperties": false, "properties": { "name": { "type": "string", "pattern": ".{1,255}" }, "notes": { "type": "string", "maxLength": 1024 }, "value": { "type": "number" } } }, "training_hyper_parameter": { "description": "Training hyperparameter.", "type": "object", "required": [ "name", "value" ], "additionalProperties": false, "properties": { "name": { "type": "string", "pattern": ".{1,255}" }, "value": { "type": "string", "pattern": ".{1,255}" } } }, "linear_graph_metric": { "type": "object", "required": [ "name", "type", "value" ], "additionalProperties": false, "properties": { "name": { "type": "string", "pattern": ".{1,255}" }, "notes": { "type": "string", "maxLength": 1024 }, "type": { "type": "string", "enum": [ "linear_graph" ] }, "value": { "anyOf": [ { "type": "array", "items": { "type": "array", "items": { "type": "number" }, "minItems": 2, "maxItems": 2 }, "minItems": 1 } ] }, "x_axis_name": { "$ref": "#/definitions/axis_name_string" }, "y_axis_name": { "$ref": "#/definitions/axis_name_string" } } }, "bar_chart_metric": { "type": "object", "required": [ "name", "type", "value" ], "additionalProperties": false, "properties": { "name": { "type": "string", "pattern": ".{1,255}" }, "notes": { "type": "string", "maxLength": 1024 }, "type": { "type": "string", "enum": [ "bar_chart" ] }, "value": { "anyOf": [ { "type": "array", "items": { "type": "number" }, "minItems": 1 } ] }, "x_axis_name": { "$ref": "#/definitions/axis_name_array" }, "y_axis_name": { "$ref": "#/definitions/axis_name_string" } } }, "matrix_metric": { "type": "object", "required": [ "name", "type", "value" ], "additionalProperties": false, "properties": { "name": { "type": "string", "pattern": ".{1,255}" }, "notes": { "type": "string", "maxLength": 1024 }, "type": { "type": "string", "enum": [ "matrix" ] }, "value": { "anyOf": [ { "type": "array", "items": { "type": "array", "items": { "type": "number" }, "minItems": 1, "maxItems": 20 }, "minItems": 1, "maxItems": 20 } ] }, "x_axis_name": { "$ref": "#/definitions/axis_name_array" }, "y_axis_name": { "$ref": "#/definitions/axis_name_array" } } }, "simple_metric": { "description": "Metric data.", "type": "object", "required": [ "name", "type", "value" ], "additionalProperties": false, "properties": { "name": { "type": "string", "pattern": ".{1,255}" }, "notes": { "type": "string", "maxLength": 1024 }, "type": { "type": "string", "enum": [ "number", "string", "boolean" ] }, "value": { "anyOf": [ { "type": "number" }, { "type": "string", "maxLength": 63 }, { "type": "boolean" } ] }, "x_axis_name": { "$ref": "#/definitions/axis_name_string" }, "y_axis_name": { "$ref": "#/definitions/axis_name_string" } } }, "axis_name_array": { "type": "array", "items": { "type": "string", "maxLength": 63 } }, "axis_name_string": { "type": "string", "maxLength": 63 } } }
Details einer Modellversion anzeigen und aktualisieren (Studio oder Studio Classic)
Führen Sie die folgenden Schritte aus, um die Details einer Modellversion anzuzeigen und zu aktualisieren, je nachdem, ob Sie Studio oder Studio Classic verwenden. In Studio Classic können Sie den Genehmigungsstatus für eine Modellversion aktualisieren. Details hierzu finden Sie unter Aktualisieren des Genehmigungsstatus eines Modells. In Studio hingegen erstellt SageMaker AI eine Modellkarte für ein Modellpaket, und die Benutzeroberfläche der Modellversion bietet Optionen zum Aktualisieren von Details auf der Modellkarte.
