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Mettre à jour les détails d'une version de modèle
Vous pouvez consulter et mettre à jour les détails d'une version de modèle spécifique à l'aide de la console Amazon Studio AWS SDK for Python (Boto3) ou de la console Amazon SageMaker Studio.
Important
Amazon SageMaker intègre les Model Cards dans le Model Registry. Un modèle de package enregistré dans le registre des modèles inclut une carte modèle simplifiée en tant que composant du package modèle. Pour de plus amples informations, veuillez consulter Modèle de package, schéma de carte modèle (Studio).
Afficher et mettre à jour les détails d'une version de modèle (Boto3)
Pour afficher les détails d'une version de modèle à l'aide de Boto3, procédez comme suit.
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Appelez l'
list_model_packagesAPIopération pour afficher les versions des modèles dans un groupe de modèles.sm_client.list_model_packages(ModelPackageGroupName="ModelGroup1")La réponse est une liste de résumés de packages de modèles. Vous pouvez obtenir le nom de ressource Amazon (ARN) des versions du modèle dans cette liste.
{'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}} -
Appelez
describe_model_packagepour voir les détails de la version de modèle. Vous transmettez la version ARN d'un modèle que vous avez obtenu dans la sortie de l'appellist_model_packages.sm_client.describe_model_package(ModelPackageName="arn:aws:sagemaker:us-east-2:123456789012:model-package/ModelGroup1/1")Le résultat de cet appel est un JSON objet avec les détails de la version du modèle.
{'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}}
Modèle de package, schéma de carte modèle (Studio)
Tous les détails relatifs à la version du modèle sont encapsulés dans la carte modèle du package du modèle. La carte modèle d'un package modèle est une utilisation spéciale de l'Amazon SageMaker Model Card et son schéma est simplifié. Le schéma de la carte modèle du package est affiché dans la liste déroulante extensible suivante.
{ "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 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 } } }
Afficher et mettre à jour les détails d'une version de modèle (Studio ou Studio Classic)
Pour afficher et mettre à jour les détails d'une version de modèle, effectuez les étapes suivantes selon que vous utilisez Studio ou Studio Classic. Dans Studio Classic, vous pouvez mettre à jour le statut d'approbation d'une version du modèle. Pour plus de détails, consultez Mise à jour du statut d'approbation d'un modèle. Dans Studio, en revanche, SageMaker crée une carte modèle pour un package modèle, et l'interface utilisateur de la version du modèle fournit des options pour mettre à jour les détails de la carte modèle.
