interface CfnTransformJobMixinProps

Language	Type name
.NET	Amazon.CDK.CfnPropertyMixins.AWS.SageMaker.CfnTransformJobMixinProps
Go	github.com/aws/aws-cdk-go/awscdkcfnpropertymixins/v2/awssagemaker#CfnTransformJobMixinProps
Java	software.amazon.awscdk.cfnpropertymixins.services.sagemaker.CfnTransformJobMixinProps
Python	aws_cdk.cfn_property_mixins.aws_sagemaker.CfnTransformJobMixinProps
TypeScript	@aws-cdk/cfn-property-mixins » aws_sagemaker » CfnTransformJobMixinProps

Properties for CfnTransformJobPropsMixin.

See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-transformjob.html

Example

// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import { aws_sagemaker as sagemaker } from '@aws-cdk/cfn-property-mixins';
const cfnTransformJobMixinProps: sagemaker.CfnTransformJobMixinProps = {
  batchStrategy: 'batchStrategy',
  dataCaptureConfig: {
    destinationS3Uri: 'destinationS3Uri',
    generateInferenceId: false,
    kmsKeyId: 'kmsKeyId',
  },
  dataProcessing: {
    inputFilter: 'inputFilter',
    joinSource: 'joinSource',
    outputFilter: 'outputFilter',
  },
  environment: {
    environmentKey: 'environment',
  },
  experimentConfig: {
    experimentName: 'experimentName',
    trialComponentDisplayName: 'trialComponentDisplayName',
    trialName: 'trialName',
  },
  maxConcurrentTransforms: 123,
  maxPayloadInMb: 123,
  modelClientConfig: {
    invocationsMaxRetries: 123,
    invocationsTimeoutInSeconds: 123,
  },
  modelName: 'modelName',
  tags: [{
    key: 'key',
    value: 'value',
  }],
  transformInput: {
    compressionType: 'compressionType',
    contentType: 'contentType',
    dataSource: {
      s3DataSource: {
        s3DataType: 's3DataType',
        s3Uri: 's3Uri',
      },
    },
    splitType: 'splitType',
  },
  transformOutput: {
    accept: 'accept',
    assembleWith: 'assembleWith',
    kmsKeyId: 'kmsKeyId',
    s3OutputPath: 's3OutputPath',
  },
  transformResources: {
    instanceCount: 123,
    instanceType: 'instanceType',
    volumeKmsKeyId: 'volumeKmsKeyId',
  },
};

Properties

Name	Type	Description
batchStrategy?	string	Specifies the number of records to include in a mini-batch for an HTTP inference request.
dataCaptureConfig?	IResolvable | DataCaptureConfigProperty	Configuration to control how SageMaker captures inference data.
dataProcessing?	IResolvable | DataProcessingProperty	The data structure used to specify the data to be used for inference in a batch transform job.
environment?	IResolvable | { [string]: string }	The environment variables to set in the Docker container.
experimentConfig?	IResolvable | ExperimentConfigProperty	Associates a SageMaker job as a trial component with an experiment and trial.
maxConcurrentTransforms?	number	The maximum number of parallel requests that can be sent to each instance in a transform job.
maxPayloadInMb?	number	The maximum allowed size of the payload, in MB.
modelClientConfig?	IResolvable | ModelClientConfigProperty	Configures the timeout and maximum number of retries for processing a transform job invocation.
modelName?	string	The name of the model that you want to use for the transform job.
tags?	TagsItemsProperty[]	An array of key-value pairs.
transformInput?	IResolvable | TransformInputProperty	Describes the input source and the way the transform job consumes it.
transformOutput?	IResolvable | TransformOutputProperty	Describes the results of the transform job.
transformResources?	IResolvable | TransformResourcesProperty	Describes the resources, including ML instance types and ML instance count, to use for the transform job.

---

batchStrategy?

Type: string (optional)

Specifies the number of records to include in a mini-batch for an HTTP inference request.

See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-transformjob.html#cfn-sagemaker-transformjob-batchstrategy

---

dataCaptureConfig?

Type: IResolvable | DataCaptureConfigProperty (optional)

Configuration to control how SageMaker captures inference data.

See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-transformjob.html#cfn-sagemaker-transformjob-datacaptureconfig

---

dataProcessing?

Type: IResolvable | DataProcessingProperty (optional)

The data structure used to specify the data to be used for inference in a batch transform job.

See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-transformjob.html#cfn-sagemaker-transformjob-dataprocessing

---

environment?

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

The environment variables to set in the Docker container.

See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-transformjob.html#cfn-sagemaker-transformjob-environment

---

experimentConfig?

Type: IResolvable | ExperimentConfigProperty (optional)

Associates a SageMaker job as a trial component with an experiment and trial.

See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-transformjob.html#cfn-sagemaker-transformjob-experimentconfig

---

maxConcurrentTransforms?

Type: number (optional)

The maximum number of parallel requests that can be sent to each instance in a transform job.

See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-transformjob.html#cfn-sagemaker-transformjob-maxconcurrenttransforms

---

maxPayloadInMb?

Type: number (optional)

The maximum allowed size of the payload, in MB.

See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-transformjob.html#cfn-sagemaker-transformjob-maxpayloadinmb

---

modelClientConfig?

Type: IResolvable | ModelClientConfigProperty (optional)

Configures the timeout and maximum number of retries for processing a transform job invocation.

See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-transformjob.html#cfn-sagemaker-transformjob-modelclientconfig

---

modelName?

Type: string (optional)

The name of the model that you want to use for the transform job.

See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-transformjob.html#cfn-sagemaker-transformjob-modelname

---

tags?

Type: TagsItemsProperty[] (optional)

An array of key-value pairs.

See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-transformjob.html#cfn-sagemaker-transformjob-tags

---

transformInput?

Type: IResolvable | TransformInputProperty (optional)

Describes the input source and the way the transform job consumes it.

See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-transformjob.html#cfn-sagemaker-transformjob-transforminput

---

transformOutput?

Type: IResolvable | TransformOutputProperty (optional)

Describes the results of the transform job.

See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-transformjob.html#cfn-sagemaker-transformjob-transformoutput

---

transformResources?

Type: IResolvable | TransformResourcesProperty (optional)

Describes the resources, including ML instance types and ML instance count, to use for the transform job.

See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-transformjob.html#cfn-sagemaker-transformjob-transformresources