Class CfnModelPackageProps.Jsii$Proxy
- All Implemented Interfaces:
CfnModelPackageProps
,software.amazon.jsii.JsiiSerializable
- Enclosing interface:
CfnModelPackageProps
CfnModelPackageProps
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Nested Class Summary
Nested classes/interfaces inherited from class software.amazon.jsii.JsiiObject
software.amazon.jsii.JsiiObject.InitializationMode
Nested classes/interfaces inherited from interface software.amazon.awscdk.services.sagemaker.CfnModelPackageProps
CfnModelPackageProps.Builder, CfnModelPackageProps.Jsii$Proxy
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Constructor Summary
ModifierConstructorDescriptionprotected
Jsii$Proxy
(CfnModelPackageProps.Builder builder) Constructor that initializes the object based on literal property values passed by theCfnModelPackageProps.Builder
.protected
Jsii$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.JsonNode
final boolean
final Object
An array of additional Inference Specification objects.final Object
An array of additional Inference Specification objects to be added to the existing array.final String
A description provided when the model approval is set.final Object
Whether the model package is to be certified to be listed on AWS Marketplace.final String
A unique token that guarantees that the call to this API is idempotent.final Object
The metadata properties for the model package.final String
The machine learning domain of your model package and its components.final Object
Represents the drift check baselines that can be used when the model monitor is set using the model package.final Object
Defines how to perform inference generation after a training job is run.final String
The last time the model package was modified.final Object
Metadata properties of the tracking entity, trial, or trial component.final String
The approval status of the model.final Object
An Amazon SageMaker Model Card.final Object
Metrics for the model.final String
The description of the model package.final String
The model group to which the model belongs.final String
The name of the model.final Object
Specifies the validation and image scan statuses of the model package.final Number
The version number of a versioned model.final String
The Amazon Simple Storage Service path where the sample payload are stored.final Object
An optional AWS Key Management Service key to encrypt, decrypt, and re-encrypt model package information for regulated workloads with highly sensitive data.final String
Indicates if you want to skip model validation.final Object
A list of algorithms that were used to create a model package.final String
The URI of the source for the model package.getTags()
A list of the tags associated with the model package.final String
getTask()
The machine learning task your model package accomplishes.final Object
Specifies batch transform jobs that SageMaker runs to validate your model package.final int
hashCode()
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:CfnModelPackageProps
An array of additional Inference Specification objects.- Specified by:
getAdditionalInferenceSpecifications
in interfaceCfnModelPackageProps
- See Also:
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getAdditionalInferenceSpecificationsToAdd
Description copied from interface:CfnModelPackageProps
An 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.
- Specified by:
getAdditionalInferenceSpecificationsToAdd
in interfaceCfnModelPackageProps
- See Also:
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getApprovalDescription
Description copied from interface:CfnModelPackageProps
A description provided when the model approval is set.- Specified by:
getApprovalDescription
in interfaceCfnModelPackageProps
- See Also:
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getCertifyForMarketplace
Description copied from interface:CfnModelPackageProps
Whether 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 .
- Specified by:
getCertifyForMarketplace
in interfaceCfnModelPackageProps
- See Also:
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getClientToken
Description copied from interface:CfnModelPackageProps
A unique token that guarantees that the call to this API is idempotent.- Specified by:
getClientToken
in interfaceCfnModelPackageProps
- See Also:
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getCustomerMetadataProperties
Description copied from interface:CfnModelPackageProps
The metadata properties for the model package.- Specified by:
getCustomerMetadataProperties
in interfaceCfnModelPackageProps
- See Also:
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getDomain
Description copied from interface:CfnModelPackageProps
The machine learning domain of your model package and its components.Common machine learning domains include computer vision and natural language processing.
- Specified by:
getDomain
in interfaceCfnModelPackageProps
- See Also:
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getDriftCheckBaselines
Description copied from interface:CfnModelPackageProps
Represents the drift check baselines that can be used when the model monitor is set using the model package.- Specified by:
getDriftCheckBaselines
in interfaceCfnModelPackageProps
- See Also:
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getInferenceSpecification
Description copied from interface:CfnModelPackageProps
Defines how to perform inference generation after a training job is run.- Specified by:
getInferenceSpecification
in interfaceCfnModelPackageProps
- See Also:
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getLastModifiedTime
Description copied from interface:CfnModelPackageProps
The last time the model package was modified.- Specified by:
getLastModifiedTime
in interfaceCfnModelPackageProps
- See Also:
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getMetadataProperties
Description copied from interface:CfnModelPackageProps
Metadata properties of the tracking entity, trial, or trial component.- Specified by:
getMetadataProperties
in interfaceCfnModelPackageProps
- See Also:
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getModelApprovalStatus
Description copied from interface:CfnModelPackageProps
The 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:
getModelApprovalStatus
in interfaceCfnModelPackageProps
- See Also:
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getModelCard
Description copied from interface:CfnModelPackageProps
An Amazon SageMaker Model Card.- Specified by:
getModelCard
in interfaceCfnModelPackageProps
- See Also:
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getModelMetrics
Description copied from interface:CfnModelPackageProps
Metrics for the model.- Specified by:
getModelMetrics
in interfaceCfnModelPackageProps
- See Also:
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getModelPackageDescription
Description copied from interface:CfnModelPackageProps
The description of the model package.- Specified by:
getModelPackageDescription
in interfaceCfnModelPackageProps
- See Also:
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getModelPackageGroupName
Description copied from interface:CfnModelPackageProps
The model group to which the model belongs.- Specified by:
getModelPackageGroupName
in interfaceCfnModelPackageProps
- See Also:
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getModelPackageName
Description copied from interface:CfnModelPackageProps
The name of the model.- Specified by:
getModelPackageName
in interfaceCfnModelPackageProps
- See Also:
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getModelPackageStatusDetails
Description copied from interface:CfnModelPackageProps
Specifies the validation and image scan statuses of the model package.- Specified by:
getModelPackageStatusDetails
in interfaceCfnModelPackageProps
- See Also:
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getModelPackageVersion
Description copied from interface:CfnModelPackageProps
The version number of a versioned model.- Specified by:
getModelPackageVersion
in interfaceCfnModelPackageProps
- See Also:
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getSamplePayloadUrl
Description copied from interface:CfnModelPackageProps
The 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:
getSamplePayloadUrl
in interfaceCfnModelPackageProps
- See Also:
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getSecurityConfig
Description copied from interface:CfnModelPackageProps
An optional AWS Key Management Service key to encrypt, decrypt, and re-encrypt model package information for regulated workloads with highly sensitive data.- Specified by:
getSecurityConfig
in interfaceCfnModelPackageProps
- See Also:
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getSkipModelValidation
Description copied from interface:CfnModelPackageProps
Indicates if you want to skip model validation.- Specified by:
getSkipModelValidation
in interfaceCfnModelPackageProps
- See Also:
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getSourceAlgorithmSpecification
Description copied from interface:CfnModelPackageProps
A list of algorithms that were used to create a model package.- Specified by:
getSourceAlgorithmSpecification
in interfaceCfnModelPackageProps
- See Also:
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getSourceUri
Description copied from interface:CfnModelPackageProps
The URI of the source for the model package.- Specified by:
getSourceUri
in interfaceCfnModelPackageProps
- See Also:
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getTags
Description copied from interface:CfnModelPackageProps
A list of the tags associated with the model package.For more information, see Tagging AWS resources in the AWS General Reference Guide .
- Specified by:
getTags
in interfaceCfnModelPackageProps
- See Also:
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getTask
Description copied from interface:CfnModelPackageProps
The machine learning task your model package accomplishes.Common machine learning tasks include object detection and image classification.
- Specified by:
getTask
in interfaceCfnModelPackageProps
- See Also:
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getValidationSpecification
Description copied from interface:CfnModelPackageProps
Specifies batch transform jobs that SageMaker runs to validate your model package.- Specified by:
getValidationSpecification
in interfaceCfnModelPackageProps
- See Also:
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$jsii$toJson
@Internal public com.fasterxml.jackson.databind.JsonNode $jsii$toJson()- Specified by:
$jsii$toJson
in interfacesoftware.amazon.jsii.JsiiSerializable
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equals
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hashCode
public final int hashCode()
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