interface ModelOverviewProperty
Language | Type name |
---|---|
.NET | Amazon.CDK.AWS.Sagemaker.CfnModelCard.ModelOverviewProperty |
Java | software.amazon.awscdk.services.sagemaker.CfnModelCard.ModelOverviewProperty |
Python | aws_cdk.aws_sagemaker.CfnModelCard.ModelOverviewProperty |
TypeScript | @aws-cdk/aws-sagemaker » CfnModelCard » ModelOverviewProperty |
An overview about the model.
Example
// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import * as sagemaker from '@aws-cdk/aws-sagemaker';
const modelOverviewProperty: sagemaker.CfnModelCard.ModelOverviewProperty = {
algorithmType: 'algorithmType',
inferenceEnvironment: {
containerImage: ['containerImage'],
},
modelArtifact: ['modelArtifact'],
modelCreator: 'modelCreator',
modelDescription: 'modelDescription',
modelId: 'modelId',
modelName: 'modelName',
modelOwner: 'modelOwner',
modelVersion: 123,
problemType: 'problemType',
};
Properties
Name | Type | Description |
---|---|---|
algorithm | string | The algorithm used to solve the problem. |
inference | IResolvable | Inference | An overview about model inference. |
model | string[] | The location of the model artifact. |
model | string | The creator of the model. |
model | string | A description of the model. |
model | string | The SageMaker Model ARN or non- SageMaker Model ID. |
model | string | The name of the model. |
model | string | The owner of the model. |
model | number | The version of the model. |
problem | string | The problem being solved with the model. |
algorithmType?
Type:
string
(optional)
The algorithm used to solve the problem.
inferenceEnvironment?
Type:
IResolvable
|
Inference
(optional)
An overview about model inference.
modelArtifact?
Type:
string[]
(optional)
The location of the model artifact.
modelCreator?
Type:
string
(optional)
The creator of the model.
modelDescription?
Type:
string
(optional)
A description of the model.
modelId?
Type:
string
(optional)
The SageMaker Model ARN or non- SageMaker Model ID.
modelName?
Type:
string
(optional)
The name of the model.
modelOwner?
Type:
string
(optional)
The owner of the model.
modelVersion?
Type:
number
(optional)
The version of the model.
problemType?
Type:
string
(optional)
The problem being solved with the model.