选择您的 Cookie 首选项

我们使用必要 Cookie 和类似工具提供我们的网站和服务。我们使用性能 Cookie 收集匿名统计数据,以便我们可以了解客户如何使用我们的网站并进行改进。必要 Cookie 无法停用,但您可以单击“自定义”或“拒绝”来拒绝性能 Cookie。

如果您同意,AWS 和经批准的第三方还将使用 Cookie 提供有用的网站功能、记住您的首选项并显示相关内容,包括相关广告。要接受或拒绝所有非必要 Cookie,请单击“接受”或“拒绝”。要做出更详细的选择,请单击“自定义”。

CreateModelExplainabilityJobDefinition - Amazon SageMaker
此页面尚未翻译为您的语言。 请求翻译

CreateModelExplainabilityJobDefinition

Creates the definition for a model explainability job.

Request Syntax

{ "JobDefinitionName": "string", "JobResources": { "ClusterConfig": { "InstanceCount": number, "InstanceType": "string", "VolumeKmsKeyId": "string", "VolumeSizeInGB": number } }, "ModelExplainabilityAppSpecification": { "ConfigUri": "string", "Environment": { "string" : "string" }, "ImageUri": "string" }, "ModelExplainabilityBaselineConfig": { "BaseliningJobName": "string", "ConstraintsResource": { "S3Uri": "string" } }, "ModelExplainabilityJobInput": { "BatchTransformInput": { "DataCapturedDestinationS3Uri": "string", "DatasetFormat": { "Csv": { "Header": boolean }, "Json": { "Line": boolean }, "Parquet": { } }, "EndTimeOffset": "string", "ExcludeFeaturesAttribute": "string", "FeaturesAttribute": "string", "InferenceAttribute": "string", "LocalPath": "string", "ProbabilityAttribute": "string", "ProbabilityThresholdAttribute": number, "S3DataDistributionType": "string", "S3InputMode": "string", "StartTimeOffset": "string" }, "EndpointInput": { "EndpointName": "string", "EndTimeOffset": "string", "ExcludeFeaturesAttribute": "string", "FeaturesAttribute": "string", "InferenceAttribute": "string", "LocalPath": "string", "ProbabilityAttribute": "string", "ProbabilityThresholdAttribute": number, "S3DataDistributionType": "string", "S3InputMode": "string", "StartTimeOffset": "string" } }, "ModelExplainabilityJobOutputConfig": { "KmsKeyId": "string", "MonitoringOutputs": [ { "S3Output": { "LocalPath": "string", "S3UploadMode": "string", "S3Uri": "string" } } ] }, "NetworkConfig": { "EnableInterContainerTrafficEncryption": boolean, "EnableNetworkIsolation": boolean, "VpcConfig": { "SecurityGroupIds": [ "string" ], "Subnets": [ "string" ] } }, "RoleArn": "string", "StoppingCondition": { "MaxRuntimeInSeconds": number }, "Tags": [ { "Key": "string", "Value": "string" } ] }

Request Parameters

For information about the parameters that are common to all actions, see Common Parameters.

The request accepts the following data in JSON format.

JobDefinitionName

The name of the model explainability job definition. The name must be unique within an AWS Region in the AWS account.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 63.

Pattern: ^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}$

Required: Yes

JobResources

Identifies the resources to deploy for a monitoring job.

Type: MonitoringResources object

Required: Yes

ModelExplainabilityAppSpecification

Configures the model explainability job to run a specified Docker container image.

Type: ModelExplainabilityAppSpecification object

Required: Yes

ModelExplainabilityBaselineConfig

The baseline configuration for a model explainability job.

Type: ModelExplainabilityBaselineConfig object

Required: No

ModelExplainabilityJobInput

Inputs for the model explainability job.

Type: ModelExplainabilityJobInput object

Required: Yes

ModelExplainabilityJobOutputConfig

The output configuration for monitoring jobs.

Type: MonitoringOutputConfig object

Required: Yes

NetworkConfig

Networking options for a model explainability job.

Type: MonitoringNetworkConfig object

Required: No

RoleArn

The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.

Type: String

Length Constraints: Minimum length of 20. Maximum length of 2048.

Pattern: ^arn:aws[a-z\-]*:iam::\d{12}:role/?[a-zA-Z_0-9+=,.@\-_/]+$

Required: Yes

StoppingCondition

A time limit for how long the monitoring job is allowed to run before stopping.

Type: MonitoringStoppingCondition object

Required: No

Tags

(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.

Type: Array of Tag objects

Array Members: Minimum number of 0 items. Maximum number of 50 items.

Required: No

Response Syntax

{ "JobDefinitionArn": "string" }

Response Elements

If the action is successful, the service sends back an HTTP 200 response.

The following data is returned in JSON format by the service.

JobDefinitionArn

The Amazon Resource Name (ARN) of the model explainability job.

Type: String

Length Constraints: Maximum length of 256.

Pattern: .*

Errors

For information about the errors that are common to all actions, see Common Errors.

ResourceInUse

Resource being accessed is in use.

HTTP Status Code: 400

ResourceLimitExceeded

You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created.

HTTP Status Code: 400

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following:

隐私网站条款Cookie 首选项
© 2025, Amazon Web Services, Inc. 或其附属公司。保留所有权利。