class CfnAlgorithmPropsMixin (mixin)
| Language | Type name |
|---|---|
.NET | Amazon.CDK.CfnPropertyMixins.AWS.SageMaker.CfnAlgorithmPropsMixin |
Go | github.com/aws/aws-cdk-go/awscdkcfnpropertymixins/v2/awssagemaker#CfnAlgorithmPropsMixin |
Java | software.amazon.awscdk.cfnpropertymixins.services.sagemaker.CfnAlgorithmPropsMixin |
Python | aws_cdk.cfn_property_mixins.aws_sagemaker.CfnAlgorithmPropsMixin |
TypeScript | @aws-cdk/cfn-property-mixins » aws_sagemaker » CfnAlgorithmPropsMixin |
Implements
IMixin
Extends
Mixin
Resource Type definition for AWS::SageMaker::Algorithm.
See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-algorithm.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';
import * as cdk from 'aws-cdk-lib';
declare const mergeStrategy: cdk.IMergeStrategy;
const cfnAlgorithmPropsMixin = new sagemaker.CfnAlgorithmPropsMixin({
algorithmDescription: 'algorithmDescription',
algorithmName: 'algorithmName',
certifyForMarketplace: false,
inferenceSpecification: {
containers: [{
containerHostname: 'containerHostname',
environment: {
environmentKey: 'environment',
},
framework: 'framework',
frameworkVersion: 'frameworkVersion',
image: 'image',
imageDigest: 'imageDigest',
isCheckpoint: false,
modelInput: {
dataInputConfig: 'dataInputConfig',
},
nearestModelName: 'nearestModelName',
}],
supportedContentTypes: ['supportedContentTypes'],
supportedRealtimeInferenceInstanceTypes: ['supportedRealtimeInferenceInstanceTypes'],
supportedResponseMimeTypes: ['supportedResponseMimeTypes'],
supportedTransformInstanceTypes: ['supportedTransformInstanceTypes'],
},
tags: [{
key: 'key',
value: 'value',
}],
trainingSpecification: {
metricDefinitions: [{
name: 'name',
regex: 'regex',
}],
supportedHyperParameters: [{
defaultValue: 'defaultValue',
description: 'description',
isRequired: false,
isTunable: false,
name: 'name',
range: {
categoricalParameterRangeSpecification: {
values: ['values'],
},
continuousParameterRangeSpecification: {
maxValue: 'maxValue',
minValue: 'minValue',
},
integerParameterRangeSpecification: {
maxValue: 'maxValue',
minValue: 'minValue',
},
},
type: 'type',
}],
supportedTrainingInstanceTypes: ['supportedTrainingInstanceTypes'],
supportedTuningJobObjectiveMetrics: [{
metricName: 'metricName',
type: 'type',
}],
supportsDistributedTraining: false,
trainingChannels: [{
description: 'description',
isRequired: false,
name: 'name',
supportedCompressionTypes: ['supportedCompressionTypes'],
supportedContentTypes: ['supportedContentTypes'],
supportedInputModes: ['supportedInputModes'],
}],
trainingImage: 'trainingImage',
trainingImageDigest: 'trainingImageDigest',
},
}, /* all optional props */ {
strategy: mergeStrategy,
});
Initializer
new CfnAlgorithmPropsMixin(props: CfnAlgorithmMixinProps, options?: CfnPropertyMixinOptions)
Parameters
- props
Cfn— L1 properties to apply.Algorithm Mixin Props - options
Cfn— Mixin options.Property Mixin Options
Create a mixin to apply properties to AWS::SageMaker::Algorithm.
Properties
| Name | Type | Description |
|---|---|---|
| props | Cfn | |
| strategy | IMerge | |
| static CFN_PROPERTY_KEYS | string[] |
props
Type:
Cfn
strategy
Type:
IMerge
static CFN_PROPERTY_KEYS
Type:
string[]
Methods
| Name | Description |
|---|---|
| apply | Apply the mixin properties to the construct. |
| supports(construct) | Check if this mixin supports the given construct. |
applyTo(construct)
public applyTo(construct: IConstruct): void
Parameters
- construct
IConstruct
Apply the mixin properties to the construct.
supports(construct)
public supports(construct: IConstruct): boolean
Parameters
- construct
IConstruct
Returns
boolean
Check if this mixin supports the given construct.

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