Class CfnModelPackageProps.Jsii$Proxy
- All Implemented Interfaces:
CfnModelPackageProps,software.amazon.jsii.JsiiSerializable
- Enclosing interface:
CfnModelPackageProps
CfnModelPackageProps-
Nested Class Summary
Nested classes/interfaces inherited from class software.amazon.jsii.JsiiObject
software.amazon.jsii.JsiiObject.InitializationModeNested classes/interfaces inherited from interface software.amazon.awscdk.services.sagemaker.CfnModelPackageProps
CfnModelPackageProps.Builder, CfnModelPackageProps.Jsii$Proxy -
Constructor Summary
ConstructorsModifierConstructorDescriptionprotectedJsii$Proxy(CfnModelPackageProps.Builder builder) Constructor that initializes the object based on literal property values passed by theCfnModelPackageProps.Builder.protectedJsii$Proxy(software.amazon.jsii.JsiiObjectRef objRef) Constructor that initializes the object based on values retrieved from the JsiiObject. -
Method Summary
Modifier and TypeMethodDescriptioncom.fasterxml.jackson.databind.JsonNodefinal booleanfinal ObjectAn array of additional Inference Specification objects.final ObjectAn array of additional Inference Specification objects to be added to the existing array.final StringA description provided when the model approval is set.final ObjectWhether the model package is to be certified to be listed on AWS Marketplace.final StringA unique token that guarantees that the call to this API is idempotent.final ObjectThe metadata properties for the model package.final StringThe machine learning domain of your model package and its components.final ObjectRepresents the drift check baselines that can be used when the model monitor is set using the model package.final ObjectDefines how to perform inference generation after a training job is run.final StringThe last time the model package was modified.final ObjectMetadata properties of the tracking entity, trial, or trial component.final StringThe approval status of the model.final ObjectAn Amazon SageMaker Model Card.final ObjectMetrics for the model.final StringThe description of the model package.final StringThe model group to which the model belongs.final StringThe name of the model package.final ObjectSpecifies the validation and image scan statuses of the model package.final NumberThe version number of a versioned model.final StringThe Amazon Simple Storage Service path where the sample payload are stored.final ObjectAn optional AWS Key Management Service key to encrypt, decrypt, and re-encrypt model package information for regulated workloads with highly sensitive data.final StringIndicates if you want to skip model validation.final ObjectA list of algorithms that were used to create a model package.final StringThe URI of the source for the model package.getTags()A list of the tags associated with the model package.final StringgetTask()The machine learning task your model package accomplishes.final ObjectSpecifies batch transform jobs that SageMaker runs to validate your model package.final inthashCode()Methods inherited from class software.amazon.jsii.JsiiObject
jsiiAsyncCall, jsiiAsyncCall, jsiiCall, jsiiCall, jsiiGet, jsiiGet, jsiiSet, jsiiStaticCall, jsiiStaticCall, jsiiStaticGet, jsiiStaticGet, jsiiStaticSet, jsiiStaticSet
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Constructor Details
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Jsii$Proxy
protected Jsii$Proxy(software.amazon.jsii.JsiiObjectRef objRef) Constructor that initializes the object based on values retrieved from the JsiiObject.- Parameters:
objRef- Reference to the JSII managed object.
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Jsii$Proxy
Constructor that initializes the object based on literal property values passed by theCfnModelPackageProps.Builder.
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Method Details
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getAdditionalInferenceSpecifications
Description copied from interface:CfnModelPackagePropsAn array of additional Inference Specification objects.Returns union: either
IResolvableor Listinvalid input: '<'eitherIResolvableorCfnModelPackage.AdditionalInferenceSpecificationDefinitionProperty>- Specified by:
getAdditionalInferenceSpecificationsin interfaceCfnModelPackageProps- See Also:
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getAdditionalInferenceSpecificationsToAdd
Description copied from interface:CfnModelPackagePropsAn array of additional Inference Specification objects to be added to the existing array.The total number of additional Inference Specification objects cannot exceed 15. Each additional Inference Specification object specifies artifacts based on this model package that can be used on inference endpoints. Generally used with SageMaker Neo to store the compiled artifacts.
Returns union: either
IResolvableor Listinvalid input: '<'eitherIResolvableorCfnModelPackage.AdditionalInferenceSpecificationDefinitionProperty>- Specified by:
getAdditionalInferenceSpecificationsToAddin interfaceCfnModelPackageProps- See Also:
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getApprovalDescription
Description copied from interface:CfnModelPackagePropsA description provided when the model approval is set.- Specified by:
getApprovalDescriptionin interfaceCfnModelPackageProps- See Also:
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getCertifyForMarketplace
Description copied from interface:CfnModelPackagePropsWhether the model package is to be certified to be listed on AWS Marketplace.For information about listing model packages on AWS Marketplace, see List Your Algorithm or Model Package on AWS Marketplace .
Returns union: either
BooleanorIResolvable- Specified by:
getCertifyForMarketplacein interfaceCfnModelPackageProps- See Also:
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getClientToken
Description copied from interface:CfnModelPackagePropsA unique token that guarantees that the call to this API is idempotent.- Specified by:
getClientTokenin interfaceCfnModelPackageProps- See Also:
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getCustomerMetadataProperties
Description copied from interface:CfnModelPackagePropsThe metadata properties for the model package.Returns union: either Mapinvalid input: '<'String,
String> orIResolvable- Specified by:
getCustomerMetadataPropertiesin interfaceCfnModelPackageProps- See Also:
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getDomain
Description copied from interface:CfnModelPackagePropsThe machine learning domain of your model package and its components.Common machine learning domains include computer vision and natural language processing.
- Specified by:
getDomainin interfaceCfnModelPackageProps- See Also:
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getDriftCheckBaselines
Description copied from interface:CfnModelPackagePropsRepresents the drift check baselines that can be used when the model monitor is set using the model package.Returns union: either
IResolvableorCfnModelPackage.DriftCheckBaselinesProperty- Specified by:
getDriftCheckBaselinesin interfaceCfnModelPackageProps- See Also:
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getInferenceSpecification
Description copied from interface:CfnModelPackagePropsDefines how to perform inference generation after a training job is run.Returns union: either
IResolvableorCfnModelPackage.InferenceSpecificationProperty- Specified by:
getInferenceSpecificationin interfaceCfnModelPackageProps- See Also:
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getLastModifiedTime
Description copied from interface:CfnModelPackagePropsThe last time the model package was modified.- Specified by:
getLastModifiedTimein interfaceCfnModelPackageProps- See Also:
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getMetadataProperties
Description copied from interface:CfnModelPackagePropsMetadata properties of the tracking entity, trial, or trial component.Returns union: either
IResolvableorCfnModelPackage.MetadataPropertiesProperty- Specified by:
getMetadataPropertiesin interfaceCfnModelPackageProps- See Also:
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getModelApprovalStatus
Description copied from interface:CfnModelPackagePropsThe approval status of the model. This can be one of the following values.APPROVED- The model is approvedREJECTED- The model is rejected.PENDING_MANUAL_APPROVAL- The model is waiting for manual approval.
- Specified by:
getModelApprovalStatusin interfaceCfnModelPackageProps- See Also:
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getModelCard
Description copied from interface:CfnModelPackagePropsAn Amazon SageMaker Model Card.Returns union: either
IResolvableorCfnModelPackage.ModelCardProperty- Specified by:
getModelCardin interfaceCfnModelPackageProps- See Also:
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getModelMetrics
Description copied from interface:CfnModelPackagePropsMetrics for the model.Returns union: either
IResolvableorCfnModelPackage.ModelMetricsProperty- Specified by:
getModelMetricsin interfaceCfnModelPackageProps- See Also:
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getModelPackageDescription
Description copied from interface:CfnModelPackagePropsThe description of the model package.- Specified by:
getModelPackageDescriptionin interfaceCfnModelPackageProps- See Also:
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getModelPackageGroupName
Description copied from interface:CfnModelPackagePropsThe model group to which the model belongs.- Specified by:
getModelPackageGroupNamein interfaceCfnModelPackageProps- See Also:
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getModelPackageName
Description copied from interface:CfnModelPackagePropsThe name of the model package. The name can be as follows:.- For a versioned model, the name is automatically generated by SageMaker Model Registry and follows the format '
ModelPackageGroupName/ModelPackageVersion'. - For an unversioned model, you must provide the name.
- Specified by:
getModelPackageNamein interfaceCfnModelPackageProps- See Also:
- For a versioned model, the name is automatically generated by SageMaker Model Registry and follows the format '
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getModelPackageStatusDetails
Description copied from interface:CfnModelPackagePropsSpecifies the validation and image scan statuses of the model package.Returns union: either
IResolvableorCfnModelPackage.ModelPackageStatusDetailsProperty- Specified by:
getModelPackageStatusDetailsin interfaceCfnModelPackageProps- See Also:
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getModelPackageVersion
Description copied from interface:CfnModelPackagePropsThe version number of a versioned model.- Specified by:
getModelPackageVersionin interfaceCfnModelPackageProps- See Also:
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getSamplePayloadUrl
Description copied from interface:CfnModelPackagePropsThe Amazon Simple Storage Service path where the sample payload are stored.This path must point to a single gzip compressed tar archive (.tar.gz suffix).
- Specified by:
getSamplePayloadUrlin interfaceCfnModelPackageProps- See Also:
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getSecurityConfig
Description copied from interface:CfnModelPackagePropsAn optional AWS Key Management Service key to encrypt, decrypt, and re-encrypt model package information for regulated workloads with highly sensitive data.Returns union: either
IResolvableorCfnModelPackage.SecurityConfigProperty- Specified by:
getSecurityConfigin interfaceCfnModelPackageProps- See Also:
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getSkipModelValidation
Description copied from interface:CfnModelPackagePropsIndicates if you want to skip model validation.- Specified by:
getSkipModelValidationin interfaceCfnModelPackageProps- See Also:
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getSourceAlgorithmSpecification
Description copied from interface:CfnModelPackagePropsA list of algorithms that were used to create a model package.Returns union: either
IResolvableorCfnModelPackage.SourceAlgorithmSpecificationProperty- Specified by:
getSourceAlgorithmSpecificationin interfaceCfnModelPackageProps- See Also:
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getSourceUri
Description copied from interface:CfnModelPackagePropsThe URI of the source for the model package.- Specified by:
getSourceUriin interfaceCfnModelPackageProps- See Also:
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getTags
Description copied from interface:CfnModelPackagePropsA list of the tags associated with the model package.For more information, see Tagging AWS resources in the AWS General Reference Guide .
- Specified by:
getTagsin interfaceCfnModelPackageProps- See Also:
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getTask
Description copied from interface:CfnModelPackagePropsThe machine learning task your model package accomplishes.Common machine learning tasks include object detection and image classification.
- Specified by:
getTaskin interfaceCfnModelPackageProps- See Also:
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getValidationSpecification
Description copied from interface:CfnModelPackagePropsSpecifies batch transform jobs that SageMaker runs to validate your model package.Returns union: either
IResolvableorCfnModelPackage.ValidationSpecificationProperty- Specified by:
getValidationSpecificationin interfaceCfnModelPackageProps- See Also:
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$jsii$toJson
@Internal public com.fasterxml.jackson.databind.JsonNode $jsii$toJson()- Specified by:
$jsii$toJsonin interfacesoftware.amazon.jsii.JsiiSerializable
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equals
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hashCode
public final int hashCode()
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