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 ObjectA structure of additional Inference Specification.final 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 ObjectInformation about the user who created or modified an experiment, trial, trial component, lineage group, or project.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 ObjectThe environment variables to set in the Docker container.final ObjectDefines how to perform inference generation after a training job is run.final ObjectInformation about the user who created or modified an experiment, trial, trial component, lineage group, or project.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 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.final ObjectSpecifies the validation and image scan statuses of the model package.final ObjectRepresents the overall status of a model package.final NumberThe version number of a versioned model.final StringThe Amazon Simple Storage Service path where the sample payload are stored.final ObjectA list of algorithms that were used to create a 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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getAdditionalInferenceSpecificationDefinition
Description copied from interface:CfnModelPackagePropsA structure of additional Inference Specification.Additional Inference Specification specifies details about inference jobs that can be run with models based on this model package
- Specified by:
getAdditionalInferenceSpecificationDefinitionin interfaceCfnModelPackageProps
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getAdditionalInferenceSpecifications
Description copied from interface:CfnModelPackagePropsAn array of additional Inference Specification objects.- Specified by:
getAdditionalInferenceSpecificationsin interfaceCfnModelPackageProps
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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.
- Specified by:
getAdditionalInferenceSpecificationsToAddin interfaceCfnModelPackageProps
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getApprovalDescription
Description copied from interface:CfnModelPackagePropsA description provided when the model approval is set.- Specified by:
getApprovalDescriptionin interfaceCfnModelPackageProps
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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 .
- Specified by:
getCertifyForMarketplacein interfaceCfnModelPackageProps
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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
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getCreatedBy
Description copied from interface:CfnModelPackagePropsInformation about the user who created or modified an experiment, trial, trial component, lineage group, or project.- Specified by:
getCreatedByin interfaceCfnModelPackageProps
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getCustomerMetadataProperties
Description copied from interface:CfnModelPackagePropsThe metadata properties for the model package.- Specified by:
getCustomerMetadataPropertiesin interfaceCfnModelPackageProps
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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
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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.- Specified by:
getDriftCheckBaselinesin interfaceCfnModelPackageProps
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getEnvironment
Description copied from interface:CfnModelPackagePropsThe environment variables to set in the Docker container.Each key and value in the
Environmentstring to string map can have length of up to 1024. We support up to 16 entries in the map.- Specified by:
getEnvironmentin interfaceCfnModelPackageProps
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getInferenceSpecification
Description copied from interface:CfnModelPackagePropsDefines how to perform inference generation after a training job is run.- Specified by:
getInferenceSpecificationin interfaceCfnModelPackageProps
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getLastModifiedBy
Description copied from interface:CfnModelPackagePropsInformation about the user who created or modified an experiment, trial, trial component, lineage group, or project.- Specified by:
getLastModifiedByin interfaceCfnModelPackageProps
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getLastModifiedTime
Description copied from interface:CfnModelPackagePropsThe last time the model package was modified.- Specified by:
getLastModifiedTimein interfaceCfnModelPackageProps
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getMetadataProperties
Description copied from interface:CfnModelPackagePropsMetadata properties of the tracking entity, trial, or trial component.- Specified by:
getMetadataPropertiesin interfaceCfnModelPackageProps
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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
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getModelMetrics
Description copied from interface:CfnModelPackagePropsMetrics for the model.- Specified by:
getModelMetricsin interfaceCfnModelPackageProps
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getModelPackageDescription
Description copied from interface:CfnModelPackagePropsThe description of the model package.- Specified by:
getModelPackageDescriptionin interfaceCfnModelPackageProps
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getModelPackageGroupName
Description copied from interface:CfnModelPackagePropsThe model group to which the model belongs.- Specified by:
getModelPackageGroupNamein interfaceCfnModelPackageProps
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getModelPackageName
Description copied from interface:CfnModelPackagePropsThe name of the model.- Specified by:
getModelPackageNamein interfaceCfnModelPackageProps
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getModelPackageStatusDetails
Description copied from interface:CfnModelPackagePropsSpecifies the validation and image scan statuses of the model package.- Specified by:
getModelPackageStatusDetailsin interfaceCfnModelPackageProps
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getModelPackageStatusItem
Description copied from interface:CfnModelPackagePropsRepresents the overall status of a model package.- Specified by:
getModelPackageStatusItemin interfaceCfnModelPackageProps
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getModelPackageVersion
Description copied from interface:CfnModelPackagePropsThe version number of a versioned model.- Specified by:
getModelPackageVersionin interfaceCfnModelPackageProps
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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
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getSourceAlgorithmSpecification
Description copied from interface:CfnModelPackagePropsA list of algorithms that were used to create a model package.- Specified by:
getSourceAlgorithmSpecificationin interfaceCfnModelPackageProps
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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
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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
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getValidationSpecification
Description copied from interface:CfnModelPackagePropsSpecifies batch transform jobs that SageMaker runs to validate your model package.- Specified by:
getValidationSpecificationin interfaceCfnModelPackageProps
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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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