2.233.0

interface ModelQualityAppSpecificationProperty

LanguageType name
.NETAmazon.CDK.Mixins.Preview.AWS.SageMaker.Mixins.CfnModelQualityJobDefinitionPropsMixin.ModelQualityAppSpecificationProperty
Gogithub.com/aws/aws-cdk-go/awscdkmixinspreview/v2/awssagemaker/mixins#CfnModelQualityJobDefinitionPropsMixin_ModelQualityAppSpecificationProperty
Javasoftware.amazon.awscdk.mixins.preview.services.sagemaker.mixins.CfnModelQualityJobDefinitionPropsMixin.ModelQualityAppSpecificationProperty
Pythonaws_cdk.mixins_preview.aws_sagemaker.mixins.CfnModelQualityJobDefinitionPropsMixin.ModelQualityAppSpecificationProperty
TypeScript @aws-cdk/mixins-preview » aws_sagemaker » mixins » CfnModelQualityJobDefinitionPropsMixin » ModelQualityAppSpecificationProperty

Container image configuration object for the monitoring job.

See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-modelqualityjobdefinition-modelqualityappspecification.html

Example

// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import { mixins as sagemaker_mixins } from '@aws-cdk/mixins-preview/aws-sagemaker';
const modelQualityAppSpecificationProperty: sagemaker_mixins.CfnModelQualityJobDefinitionPropsMixin.ModelQualityAppSpecificationProperty = {
  containerArguments: ['containerArguments'],
  containerEntrypoint: ['containerEntrypoint'],
  environment: {
    environmentKey: 'environment',
  },
  imageUri: 'imageUri',
  postAnalyticsProcessorSourceUri: 'postAnalyticsProcessorSourceUri',
  problemType: 'problemType',
  recordPreprocessorSourceUri: 'recordPreprocessorSourceUri',
};

Properties

NameTypeDescription
containerArguments?string[]An array of arguments for the container used to run the monitoring job.
containerEntrypoint?string[]Specifies the entrypoint for a container that the monitoring job runs.
environment?{ [string]: string } | IResolvableSets the environment variables in the container that the monitoring job runs.
imageUri?stringThe address of the container image that the monitoring job runs.
postAnalyticsProcessorSourceUri?stringAn Amazon S3 URI to a script that is called after analysis has been performed.
problemType?stringThe machine learning problem type of the model that the monitoring job monitors.
recordPreprocessorSourceUri?stringAn Amazon S3 URI to a script that is called per row prior to running analysis.

containerArguments?

Type: string[] (optional)

An array of arguments for the container used to run the monitoring job.

See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-modelqualityjobdefinition-modelqualityappspecification.html#cfn-sagemaker-modelqualityjobdefinition-modelqualityappspecification-containerarguments

containerEntrypoint?

Type: string[] (optional)

Specifies the entrypoint for a container that the monitoring job runs.

See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-modelqualityjobdefinition-modelqualityappspecification.html#cfn-sagemaker-modelqualityjobdefinition-modelqualityappspecification-containerentrypoint

environment?

Type: { [string]: string } | IResolvable (optional)

Sets the environment variables in the container that the monitoring job runs.

See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-modelqualityjobdefinition-modelqualityappspecification.html#cfn-sagemaker-modelqualityjobdefinition-modelqualityappspecification-environment

imageUri?

Type: string (optional)

The address of the container image that the monitoring job runs.

See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-modelqualityjobdefinition-modelqualityappspecification.html#cfn-sagemaker-modelqualityjobdefinition-modelqualityappspecification-imageuri

postAnalyticsProcessorSourceUri?

Type: string (optional)

An Amazon S3 URI to a script that is called after analysis has been performed.

Applicable only for the built-in (first party) containers.

See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-modelqualityjobdefinition-modelqualityappspecification.html#cfn-sagemaker-modelqualityjobdefinition-modelqualityappspecification-postanalyticsprocessorsourceuri

problemType?

Type: string (optional)

The machine learning problem type of the model that the monitoring job monitors.

See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-modelqualityjobdefinition-modelqualityappspecification.html#cfn-sagemaker-modelqualityjobdefinition-modelqualityappspecification-problemtype

recordPreprocessorSourceUri?

Type: string (optional)

An Amazon S3 URI to a script that is called per row prior to running analysis.

It can base64 decode the payload and convert it into a flattened JSON so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.

See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-modelqualityjobdefinition-modelqualityappspecification.html#cfn-sagemaker-modelqualityjobdefinition-modelqualityappspecification-recordpreprocessorsourceuri

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