Uses of Class
com.amazonaws.services.sagemaker.model.ModelPackage

Packages that use ModelPackage

Package	Description
com.amazonaws.services.sagemaker.model

Uses of ModelPackage in com.amazonaws.services.sagemaker.model

Methods in com.amazonaws.services.sagemaker.model that return ModelPackage

Modifier and Type	Method and Description
ModelPackage	ModelPackage.addCustomerMetadataPropertiesEntry(String key, String value) Add a single CustomerMetadataProperties entry
ModelPackage	ModelPackage.clearCustomerMetadataPropertiesEntries() Removes all the entries added into CustomerMetadataProperties.
ModelPackage	ModelPackage.clone()
ModelPackage	SearchRecord.getModelPackage()
ModelPackage	ModelPackage.withAdditionalInferenceSpecifications(AdditionalInferenceSpecificationDefinition... additionalInferenceSpecifications) An array of additional Inference Specification objects.
ModelPackage	ModelPackage.withAdditionalInferenceSpecifications(Collection<AdditionalInferenceSpecificationDefinition> additionalInferenceSpecifications) An array of additional Inference Specification objects.
ModelPackage	ModelPackage.withApprovalDescription(String approvalDescription) A description provided when the model approval is set.
ModelPackage	ModelPackage.withCertifyForMarketplace(Boolean certifyForMarketplace) Whether the model package is to be certified to be listed on Amazon Web Services Marketplace.
ModelPackage	ModelPackage.withCreatedBy(UserContext createdBy) Information about the user who created or modified an experiment, trial, trial component, lineage group, or project.
ModelPackage	ModelPackage.withCreationTime(Date creationTime) The time that the model package was created.
ModelPackage	ModelPackage.withCustomerMetadataProperties(Map<String,String> customerMetadataProperties) The metadata properties for the model package.
ModelPackage	ModelPackage.withDomain(String domain) The machine learning domain of your model package and its components.
ModelPackage	ModelPackage.withDriftCheckBaselines(DriftCheckBaselines driftCheckBaselines) Represents the drift check baselines that can be used when the model monitor is set using the model package.
ModelPackage	ModelPackage.withInferenceSpecification(InferenceSpecification inferenceSpecification) Defines how to perform inference generation after a training job is run.
ModelPackage	ModelPackage.withLastModifiedBy(UserContext lastModifiedBy) Information about the user who created or modified an experiment, trial, trial component, lineage group, or project.
ModelPackage	ModelPackage.withLastModifiedTime(Date lastModifiedTime) The last time the model package was modified.
ModelPackage	ModelPackage.withMetadataProperties(MetadataProperties metadataProperties) Metadata properties of the tracking entity, trial, or trial component.
ModelPackage	ModelPackage.withModelApprovalStatus(ModelApprovalStatus modelApprovalStatus) The approval status of the model.
ModelPackage	ModelPackage.withModelApprovalStatus(String modelApprovalStatus) The approval status of the model.
ModelPackage	ModelPackage.withModelMetrics(ModelMetrics modelMetrics) Metrics for the model.
ModelPackage	ModelPackage.withModelPackageArn(String modelPackageArn) The Amazon Resource Name (ARN) of the model package.
ModelPackage	ModelPackage.withModelPackageDescription(String modelPackageDescription) The description of the model package.
ModelPackage	ModelPackage.withModelPackageGroupName(String modelPackageGroupName) The model group to which the model belongs.
ModelPackage	ModelPackage.withModelPackageName(String modelPackageName) The name of the model.
ModelPackage	ModelPackage.withModelPackageStatus(ModelPackageStatus modelPackageStatus) The status of the model package.
ModelPackage	ModelPackage.withModelPackageStatus(String modelPackageStatus) The status of the model package.
ModelPackage	ModelPackage.withModelPackageStatusDetails(ModelPackageStatusDetails modelPackageStatusDetails) Specifies the validation and image scan statuses of the model package.
ModelPackage	ModelPackage.withModelPackageVersion(Integer modelPackageVersion) The version number of a versioned model.
ModelPackage	ModelPackage.withSamplePayloadUrl(String samplePayloadUrl) The Amazon Simple Storage Service path where the sample payload are stored.
ModelPackage	ModelPackage.withSkipModelValidation(SkipModelValidation skipModelValidation) Indicates if you want to skip model validation.
ModelPackage	ModelPackage.withSkipModelValidation(String skipModelValidation) Indicates if you want to skip model validation.
ModelPackage	ModelPackage.withSourceAlgorithmSpecification(SourceAlgorithmSpecification sourceAlgorithmSpecification) A list of algorithms that were used to create a model package.
ModelPackage	ModelPackage.withSourceUri(String sourceUri) The URI of the source for the model package.
ModelPackage	ModelPackage.withTags(Collection<Tag> tags) A list of the tags associated with the model package.
ModelPackage	ModelPackage.withTags(Tag... tags) A list of the tags associated with the model package.
ModelPackage	ModelPackage.withTask(String task) The machine learning task your model package accomplishes.
ModelPackage	ModelPackage.withValidationSpecification(ModelPackageValidationSpecification validationSpecification) Specifies batch transform jobs that SageMaker runs to validate your model package.

Methods in com.amazonaws.services.sagemaker.model with parameters of type ModelPackage

Modifier and Type	Method and Description
void	SearchRecord.setModelPackage(ModelPackage modelPackage)
SearchRecord	SearchRecord.withModelPackage(ModelPackage modelPackage)