DescribeModelPackageResult (AWS SDK for Java

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AWS SDK for Java 1.x API Reference - 1.12.795

We announced the upcoming end-of-support for AWS SDK for Java (v1). We recommend that you migrate to AWS SDK for Java v2. For dates, additional details, and information on how to migrate, please refer to the linked announcement.

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com.amazonaws.services.sagemaker.model

Class DescribeModelPackageResult

java.lang.Object
- com.amazonaws.AmazonWebServiceResult<ResponseMetadata>
- - com.amazonaws.services.sagemaker.model.DescribeModelPackageResult

All Implemented Interfaces:: Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class DescribeModelPackageResult
extends AmazonWebServiceResult<ResponseMetadata>
implements Serializable, Cloneable

See Also:: AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

DescribeModelPackageResult ()

Constructors
Constructor and Description
`DescribeModelPackageResult ()`

Method Summary

All Methods
Modifier and Type	Method and Description
`DescribeModelPackageResult`	`addCustomerMetadataPropertiesEntry (String key, String value)` Add a single CustomerMetadataProperties entry
`DescribeModelPackageResult`	`clearCustomerMetadataPropertiesEntries ()` Removes all the entries added into CustomerMetadataProperties.
`DescribeModelPackageResult`	`clone ()`
`boolean`	`equals (Object obj)`
`List<AdditionalInferenceSpecificationDefinition>`	`getAdditionalInferenceSpecifications ()` An array of additional Inference Specification objects.
`String`	`getApprovalDescription ()` A description provided for the model approval.
`Boolean`	`getCertifyForMarketplace ()` Whether the model package is certified for listing on Amazon Web Services Marketplace.
`UserContext`	`getCreatedBy ()`
`Date`	`getCreationTime ()` A timestamp specifying when the model package was created.
`Map<String,String>`	`getCustomerMetadataProperties ()` The metadata properties associated with the model package versions.
`String`	`getDomain ()` The machine learning domain of the model package you specified.
`DriftCheckBaselines`	`getDriftCheckBaselines ()` Represents the drift check baselines that can be used when the model monitor is set using the model package.
`InferenceSpecification`	`getInferenceSpecification ()` Details about inference jobs that you can run with models based on this model package.
`UserContext`	`getLastModifiedBy ()`
`Date`	`getLastModifiedTime ()` The last time that the model package was modified.
`MetadataProperties`	`getMetadataProperties ()`
`String`	`getModelApprovalStatus ()` The approval status of the model package.
`ModelPackageModelCard`	`getModelCard ()` The model card associated with the model package.
`ModelMetrics`	`getModelMetrics ()` Metrics for the model.
`String`	`getModelPackageArn ()` The Amazon Resource Name (ARN) of the model package.
`String`	`getModelPackageDescription ()` A brief summary of the model package.
`String`	`getModelPackageGroupName ()` If the model is a versioned model, the name of the model group that the versioned model belongs to.
`String`	`getModelPackageName ()` The name of the model package being described.
`String`	`getModelPackageStatus ()` The current status of the model package.
`ModelPackageStatusDetails`	`getModelPackageStatusDetails ()` Details about the current status of the model package.
`Integer`	`getModelPackageVersion ()` The version of the model package.
`String`	`getSamplePayloadUrl ()` The Amazon Simple Storage Service (Amazon S3) path where the sample payload are stored.
`ModelPackageSecurityConfig`	`getSecurityConfig ()` The KMS Key ID (`KMSKeyId`) used for encryption of model package information.
`String`	`getSkipModelValidation ()` Indicates if you want to skip model validation.
`SourceAlgorithmSpecification`	`getSourceAlgorithmSpecification ()` Details about the algorithm that was used to create the model package.
`String`	`getSourceUri ()` The URI of the source for the model package.
`String`	`getTask ()` The machine learning task you specified that your model package accomplishes.
`ModelPackageValidationSpecification`	`getValidationSpecification ()` Configurations for one or more transform jobs that SageMaker runs to test the model package.
`int`	`hashCode ()`
`Boolean`	`isCertifyForMarketplace ()` Whether the model package is certified for listing on Amazon Web Services Marketplace.
`void`	`setAdditionalInferenceSpecifications (Collection<AdditionalInferenceSpecificationDefinition> additionalInferenceSpecifications)` An array of additional Inference Specification objects.
`void`	`setApprovalDescription (String approvalDescription)` A description provided for the model approval.
`void`	`setCertifyForMarketplace (Boolean certifyForMarketplace)` Whether the model package is certified for listing on Amazon Web Services Marketplace.
`void`	`setCreatedBy (UserContext createdBy)`
`void`	`setCreationTime (Date creationTime)` A timestamp specifying when the model package was created.
`void`	`setCustomerMetadataProperties (Map<String,String> customerMetadataProperties)` The metadata properties associated with the model package versions.
`void`	`setDomain (String domain)` The machine learning domain of the model package you specified.
`void`	`setDriftCheckBaselines (DriftCheckBaselines driftCheckBaselines)` Represents the drift check baselines that can be used when the model monitor is set using the model package.
`void`	`setInferenceSpecification (InferenceSpecification inferenceSpecification)` Details about inference jobs that you can run with models based on this model package.
`void`	`setLastModifiedBy (UserContext lastModifiedBy)`
`void`	`setLastModifiedTime (Date lastModifiedTime)` The last time that the model package was modified.
`void`	`setMetadataProperties (MetadataProperties metadataProperties)`
`void`	`setModelApprovalStatus (String modelApprovalStatus)` The approval status of the model package.
`void`	`setModelCard (ModelPackageModelCard modelCard)` The model card associated with the model package.
`void`	`setModelMetrics (ModelMetrics modelMetrics)` Metrics for the model.
`void`	`setModelPackageArn (String modelPackageArn)` The Amazon Resource Name (ARN) of the model package.
`void`	`setModelPackageDescription (String modelPackageDescription)` A brief summary of the model package.
`void`	`setModelPackageGroupName (String modelPackageGroupName)` If the model is a versioned model, the name of the model group that the versioned model belongs to.
`void`	`setModelPackageName (String modelPackageName)` The name of the model package being described.
`void`	`setModelPackageStatus (String modelPackageStatus)` The current status of the model package.
`void`	`setModelPackageStatusDetails (ModelPackageStatusDetails modelPackageStatusDetails)` Details about the current status of the model package.
`void`	`setModelPackageVersion (Integer modelPackageVersion)` The version of the model package.
`void`	`setSamplePayloadUrl (String samplePayloadUrl)` The Amazon Simple Storage Service (Amazon S3) path where the sample payload are stored.
`void`	`setSecurityConfig (ModelPackageSecurityConfig securityConfig)` The KMS Key ID (`KMSKeyId`) used for encryption of model package information.
`void`	`setSkipModelValidation (String skipModelValidation)` Indicates if you want to skip model validation.
`void`	`setSourceAlgorithmSpecification (SourceAlgorithmSpecification sourceAlgorithmSpecification)` Details about the algorithm that was used to create the model package.
`void`	`setSourceUri (String sourceUri)` The URI of the source for the model package.
`void`	`setTask (String task)` The machine learning task you specified that your model package accomplishes.
`void`	`setValidationSpecification (ModelPackageValidationSpecification validationSpecification)` Configurations for one or more transform jobs that SageMaker runs to test the model package.
`String`	`toString ()` Returns a string representation of this object.
`DescribeModelPackageResult`	`withAdditionalInferenceSpecifications (AdditionalInferenceSpecificationDefinition... additionalInferenceSpecifications)` An array of additional Inference Specification objects.
`DescribeModelPackageResult`	`withAdditionalInferenceSpecifications (Collection<AdditionalInferenceSpecificationDefinition> additionalInferenceSpecifications)` An array of additional Inference Specification objects.
`DescribeModelPackageResult`	`withApprovalDescription (String approvalDescription)` A description provided for the model approval.
`DescribeModelPackageResult`	`withCertifyForMarketplace (Boolean certifyForMarketplace)` Whether the model package is certified for listing on Amazon Web Services Marketplace.
`DescribeModelPackageResult`	`withCreatedBy (UserContext createdBy)`
`DescribeModelPackageResult`	`withCreationTime (Date creationTime)` A timestamp specifying when the model package was created.
`DescribeModelPackageResult`	`withCustomerMetadataProperties (Map<String,String> customerMetadataProperties)` The metadata properties associated with the model package versions.
`DescribeModelPackageResult`	`withDomain (String domain)` The machine learning domain of the model package you specified.
`DescribeModelPackageResult`	`withDriftCheckBaselines (DriftCheckBaselines driftCheckBaselines)` Represents the drift check baselines that can be used when the model monitor is set using the model package.
`DescribeModelPackageResult`	`withInferenceSpecification (InferenceSpecification inferenceSpecification)` Details about inference jobs that you can run with models based on this model package.
`DescribeModelPackageResult`	`withLastModifiedBy (UserContext lastModifiedBy)`
`DescribeModelPackageResult`	`withLastModifiedTime (Date lastModifiedTime)` The last time that the model package was modified.
`DescribeModelPackageResult`	`withMetadataProperties (MetadataProperties metadataProperties)`
`DescribeModelPackageResult`	`withModelApprovalStatus (ModelApprovalStatus modelApprovalStatus)` The approval status of the model package.
`DescribeModelPackageResult`	`withModelApprovalStatus (String modelApprovalStatus)` The approval status of the model package.
`DescribeModelPackageResult`	`withModelCard (ModelPackageModelCard modelCard)` The model card associated with the model package.
`DescribeModelPackageResult`	`withModelMetrics (ModelMetrics modelMetrics)` Metrics for the model.
`DescribeModelPackageResult`	`withModelPackageArn (String modelPackageArn)` The Amazon Resource Name (ARN) of the model package.
`DescribeModelPackageResult`	`withModelPackageDescription (String modelPackageDescription)` A brief summary of the model package.
`DescribeModelPackageResult`	`withModelPackageGroupName (String modelPackageGroupName)` If the model is a versioned model, the name of the model group that the versioned model belongs to.
`DescribeModelPackageResult`	`withModelPackageName (String modelPackageName)` The name of the model package being described.
`DescribeModelPackageResult`	`withModelPackageStatus (ModelPackageStatus modelPackageStatus)` The current status of the model package.
`DescribeModelPackageResult`	`withModelPackageStatus (String modelPackageStatus)` The current status of the model package.
`DescribeModelPackageResult`	`withModelPackageStatusDetails (ModelPackageStatusDetails modelPackageStatusDetails)` Details about the current status of the model package.
`DescribeModelPackageResult`	`withModelPackageVersion (Integer modelPackageVersion)` The version of the model package.
`DescribeModelPackageResult`	`withSamplePayloadUrl (String samplePayloadUrl)` The Amazon Simple Storage Service (Amazon S3) path where the sample payload are stored.
`DescribeModelPackageResult`	`withSecurityConfig (ModelPackageSecurityConfig securityConfig)` The KMS Key ID (`KMSKeyId`) used for encryption of model package information.
`DescribeModelPackageResult`	`withSkipModelValidation (SkipModelValidation skipModelValidation)` Indicates if you want to skip model validation.
`DescribeModelPackageResult`	`withSkipModelValidation (String skipModelValidation)` Indicates if you want to skip model validation.
`DescribeModelPackageResult`	`withSourceAlgorithmSpecification (SourceAlgorithmSpecification sourceAlgorithmSpecification)` Details about the algorithm that was used to create the model package.
`DescribeModelPackageResult`	`withSourceUri (String sourceUri)` The URI of the source for the model package.
`DescribeModelPackageResult`	`withTask (String task)` The machine learning task you specified that your model package accomplishes.
`DescribeModelPackageResult`	`withValidationSpecification (ModelPackageValidationSpecification validationSpecification)` Configurations for one or more transform jobs that SageMaker runs to test the model package.

Methods inherited from class com.amazonaws.AmazonWebServiceResult
getSdkHttpMetadata, getSdkResponseMetadata, setSdkHttpMetadata, setSdkResponseMetadata

Methods inherited from class java.lang.Object
getClass, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - DescribeModelPackageResult
```
public DescribeModelPackageResult()
```
- Method Detail
  - setModelPackageName
```
public void setModelPackageName(String modelPackageName)
```
    The name of the model package being described.
    
    Parameters:
    
    modelPackageName - The name of the model package being described.
  - getModelPackageName
```
public String getModelPackageName()
```
    The name of the model package being described.
    
    Returns:
    
    The name of the model package being described.
  - withModelPackageName
```
public DescribeModelPackageResult withModelPackageName(String modelPackageName)
```
    The name of the model package being described.
    
    Parameters:
    
    modelPackageName - The name of the model package being described.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setModelPackageGroupName
```
public void setModelPackageGroupName(String modelPackageGroupName)
```
    If the model is a versioned model, the name of the model group that the versioned model belongs to.
    
    Parameters:
    
    modelPackageGroupName - If the model is a versioned model, the name of the model group that the versioned model belongs to.
  - getModelPackageGroupName
```
public String getModelPackageGroupName()
```
    If the model is a versioned model, the name of the model group that the versioned model belongs to.
    
    Returns:
    
    If the model is a versioned model, the name of the model group that the versioned model belongs to.
  - withModelPackageGroupName
```
public DescribeModelPackageResult withModelPackageGroupName(String modelPackageGroupName)
```
    If the model is a versioned model, the name of the model group that the versioned model belongs to.
    
    Parameters:
    
    modelPackageGroupName - If the model is a versioned model, the name of the model group that the versioned model belongs to.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setModelPackageVersion
```
public void setModelPackageVersion(Integer modelPackageVersion)
```
    The version of the model package.
    
    Parameters:
    
    modelPackageVersion - The version of the model package.
  - getModelPackageVersion
```
public Integer getModelPackageVersion()
```
    The version of the model package.
    
    Returns:
    
    The version of the model package.
  - withModelPackageVersion
```
public DescribeModelPackageResult withModelPackageVersion(Integer modelPackageVersion)
```
    The version of the model package.
    
    Parameters:
    
    modelPackageVersion - The version of the model package.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setModelPackageArn
```
public void setModelPackageArn(String modelPackageArn)
```
    The Amazon Resource Name (ARN) of the model package.
    
    Parameters:
    
    modelPackageArn - The Amazon Resource Name (ARN) of the model package.
  - getModelPackageArn
```
public String getModelPackageArn()
```
    The Amazon Resource Name (ARN) of the model package.
    
    Returns:
    
    The Amazon Resource Name (ARN) of the model package.
  - withModelPackageArn
```
public DescribeModelPackageResult withModelPackageArn(String modelPackageArn)
```
    The Amazon Resource Name (ARN) of the model package.
    
    Parameters:
    
    modelPackageArn - The Amazon Resource Name (ARN) of the model package.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setModelPackageDescription
```
public void setModelPackageDescription(String modelPackageDescription)
```
    A brief summary of the model package.
    
    Parameters:
    
    modelPackageDescription - A brief summary of the model package.
  - getModelPackageDescription
```
public String getModelPackageDescription()
```
    A brief summary of the model package.
    
    Returns:
    
    A brief summary of the model package.
  - withModelPackageDescription
```
public DescribeModelPackageResult withModelPackageDescription(String modelPackageDescription)
```
    A brief summary of the model package.
    
    Parameters:
    
    modelPackageDescription - A brief summary of the model package.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setCreationTime
```
public void setCreationTime(Date creationTime)
```
    A timestamp specifying when the model package was created.
    
    Parameters:
    
    creationTime - A timestamp specifying when the model package was created.
  - getCreationTime
```
public Date getCreationTime()
```
    A timestamp specifying when the model package was created.
    
    Returns:
    
    A timestamp specifying when the model package was created.
  - withCreationTime
```
public DescribeModelPackageResult withCreationTime(Date creationTime)
```
    A timestamp specifying when the model package was created.
    
    Parameters:
    
    creationTime - A timestamp specifying when the model package was created.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setInferenceSpecification
```
public void setInferenceSpecification(InferenceSpecification inferenceSpecification)
```
    Details about inference jobs that you can run with models based on this model package.
    
    Parameters:
    
    inferenceSpecification - Details about inference jobs that you can run with models based on this model package.
  - getInferenceSpecification
```
public InferenceSpecification getInferenceSpecification()
```
    Details about inference jobs that you can run with models based on this model package.
    
    Returns:
    
    Details about inference jobs that you can run with models based on this model package.
  - withInferenceSpecification
```
public DescribeModelPackageResult withInferenceSpecification(InferenceSpecification inferenceSpecification)
```
    Details about inference jobs that you can run with models based on this model package.
    
    Parameters:
    
    inferenceSpecification - Details about inference jobs that you can run with models based on this model package.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setSourceAlgorithmSpecification
```
public void setSourceAlgorithmSpecification(SourceAlgorithmSpecification sourceAlgorithmSpecification)
```
    Details about the algorithm that was used to create the model package.
    
    Parameters:
    
    sourceAlgorithmSpecification - Details about the algorithm that was used to create the model package.
  - getSourceAlgorithmSpecification
```
public SourceAlgorithmSpecification getSourceAlgorithmSpecification()
```
    Details about the algorithm that was used to create the model package.
    
    Returns:
    
    Details about the algorithm that was used to create the model package.
  - withSourceAlgorithmSpecification
```
public DescribeModelPackageResult withSourceAlgorithmSpecification(SourceAlgorithmSpecification sourceAlgorithmSpecification)
```
    Details about the algorithm that was used to create the model package.
    
    Parameters:
    
    sourceAlgorithmSpecification - Details about the algorithm that was used to create the model package.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setValidationSpecification
```
public void setValidationSpecification(ModelPackageValidationSpecification validationSpecification)
```
    Configurations for one or more transform jobs that SageMaker runs to test the model package.
    
    Parameters:
    
    validationSpecification - Configurations for one or more transform jobs that SageMaker runs to test the model package.
  - getValidationSpecification
```
public ModelPackageValidationSpecification getValidationSpecification()
```
    Configurations for one or more transform jobs that SageMaker runs to test the model package.
    
    Returns:
    
    Configurations for one or more transform jobs that SageMaker runs to test the model package.
  - withValidationSpecification
```
public DescribeModelPackageResult withValidationSpecification(ModelPackageValidationSpecification validationSpecification)
```
    Configurations for one or more transform jobs that SageMaker runs to test the model package.
    
    Parameters:
    
    validationSpecification - Configurations for one or more transform jobs that SageMaker runs to test the model package.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setModelPackageStatus
```
public void setModelPackageStatus(String modelPackageStatus)
```
    The current status of the model package.
    
    Parameters:
    
    modelPackageStatus - The current status of the model package.
    
    See Also:
    
    ModelPackageStatus
  - getModelPackageStatus
```
public String getModelPackageStatus()
```
    The current status of the model package.
    
    Returns:
    
    The current status of the model package.
    
    See Also:
    
    ModelPackageStatus
  - withModelPackageStatus
```
public DescribeModelPackageResult withModelPackageStatus(String modelPackageStatus)
```
    The current status of the model package.
    
    Parameters:
    
    modelPackageStatus - The current status of the model package.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ModelPackageStatus
  - withModelPackageStatus
```
public DescribeModelPackageResult withModelPackageStatus(ModelPackageStatus modelPackageStatus)
```
    The current status of the model package.
    
    Parameters:
    
    modelPackageStatus - The current status of the model package.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ModelPackageStatus
  - setModelPackageStatusDetails
```
public void setModelPackageStatusDetails(ModelPackageStatusDetails modelPackageStatusDetails)
```
    Details about the current status of the model package.
    
    Parameters:
    
    modelPackageStatusDetails - Details about the current status of the model package.
  - getModelPackageStatusDetails
```
public ModelPackageStatusDetails getModelPackageStatusDetails()
```
    Details about the current status of the model package.
    
    Returns:
    
    Details about the current status of the model package.
  - withModelPackageStatusDetails
```
public DescribeModelPackageResult withModelPackageStatusDetails(ModelPackageStatusDetails modelPackageStatusDetails)
```
    Details about the current status of the model package.
    
    Parameters:
    
    modelPackageStatusDetails - Details about the current status of the model package.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setCertifyForMarketplace
```
public void setCertifyForMarketplace(Boolean certifyForMarketplace)
```
    Whether the model package is certified for listing on Amazon Web Services Marketplace.
    
    Parameters:
    
    certifyForMarketplace - Whether the model package is certified for listing on Amazon Web Services Marketplace.
  - getCertifyForMarketplace
```
public Boolean getCertifyForMarketplace()
```
    Whether the model package is certified for listing on Amazon Web Services Marketplace.
    
    Returns:
    
    Whether the model package is certified for listing on Amazon Web Services Marketplace.
  - withCertifyForMarketplace
```
public DescribeModelPackageResult withCertifyForMarketplace(Boolean certifyForMarketplace)
```
    Whether the model package is certified for listing on Amazon Web Services Marketplace.
    
    Parameters:
    
    certifyForMarketplace - Whether the model package is certified for listing on Amazon Web Services Marketplace.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - isCertifyForMarketplace
```
public Boolean isCertifyForMarketplace()
```
    Whether the model package is certified for listing on Amazon Web Services Marketplace.
    
    Returns:
    
    Whether the model package is certified for listing on Amazon Web Services Marketplace.
  - setModelApprovalStatus
```
public void setModelApprovalStatus(String modelApprovalStatus)
```
    The approval status of the model package.
    
    Parameters:
    
    modelApprovalStatus - The approval status of the model package.
    
    See Also:
    
    ModelApprovalStatus
  - getModelApprovalStatus
```
public String getModelApprovalStatus()
```
    The approval status of the model package.
    
    Returns:
    
    The approval status of the model package.
    
    See Also:
    
    ModelApprovalStatus
  - withModelApprovalStatus
```
public DescribeModelPackageResult withModelApprovalStatus(String modelApprovalStatus)
```
    The approval status of the model package.
    
    Parameters:
    
    modelApprovalStatus - The approval status of the model package.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ModelApprovalStatus
  - withModelApprovalStatus
```
public DescribeModelPackageResult withModelApprovalStatus(ModelApprovalStatus modelApprovalStatus)
```
    The approval status of the model package.
    
    Parameters:
    
    modelApprovalStatus - The approval status of the model package.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ModelApprovalStatus
  - setCreatedBy
```
public void setCreatedBy(UserContext createdBy)
```
    Parameters:
    
    createdBy -
  - getCreatedBy
```
public UserContext getCreatedBy()
```
    Returns:
  - withCreatedBy
```
public DescribeModelPackageResult withCreatedBy(UserContext createdBy)
```
    Parameters:
    
    createdBy -
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setMetadataProperties
```
public void setMetadataProperties(MetadataProperties metadataProperties)
```
    Parameters:
    
    metadataProperties -
  - getMetadataProperties
```
public MetadataProperties getMetadataProperties()
```
    Returns:
  - withMetadataProperties
```
public DescribeModelPackageResult withMetadataProperties(MetadataProperties metadataProperties)
```
    Parameters:
    
    metadataProperties -
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setModelMetrics
```
public void setModelMetrics(ModelMetrics modelMetrics)
```
    Metrics for the model.
    
    Parameters:
    
    modelMetrics - Metrics for the model.
  - getModelMetrics
```
public ModelMetrics getModelMetrics()
```
    Metrics for the model.
    
    Returns:
    
    Metrics for the model.
  - withModelMetrics
```
public DescribeModelPackageResult withModelMetrics(ModelMetrics modelMetrics)
```
    Metrics for the model.
    
    Parameters:
    
    modelMetrics - Metrics for the model.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setLastModifiedTime
```
public void setLastModifiedTime(Date lastModifiedTime)
```
    The last time that the model package was modified.
    
    Parameters:
    
    lastModifiedTime - The last time that the model package was modified.
  - getLastModifiedTime
```
public Date getLastModifiedTime()
```
    The last time that the model package was modified.
    
    Returns:
    
    The last time that the model package was modified.
  - withLastModifiedTime
```
public DescribeModelPackageResult withLastModifiedTime(Date lastModifiedTime)
```
    The last time that the model package was modified.
    
    Parameters:
    
    lastModifiedTime - The last time that the model package was modified.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setLastModifiedBy
```
public void setLastModifiedBy(UserContext lastModifiedBy)
```
    Parameters:
    
    lastModifiedBy -
  - getLastModifiedBy
```
public UserContext getLastModifiedBy()
```
    Returns:
  - withLastModifiedBy
```
public DescribeModelPackageResult withLastModifiedBy(UserContext lastModifiedBy)
```
    Parameters:
    
    lastModifiedBy -
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setApprovalDescription
```
public void setApprovalDescription(String approvalDescription)
```
    A description provided for the model approval.
    
    Parameters:
    
    approvalDescription - A description provided for the model approval.
  - getApprovalDescription
```
public String getApprovalDescription()
```
    A description provided for the model approval.
    
    Returns:
    
    A description provided for the model approval.
  - withApprovalDescription
```
public DescribeModelPackageResult withApprovalDescription(String approvalDescription)
```
    A description provided for the model approval.
    
    Parameters:
    
    approvalDescription - A description provided for the model approval.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setDomain
```
public void setDomain(String domain)
```
    The machine learning domain of the model package you specified. Common machine learning domains include computer vision and natural language processing.
    
    Parameters:
    
    domain - The machine learning domain of the model package you specified. Common machine learning domains include computer vision and natural language processing.
  - getDomain
```
public String getDomain()
```
    The machine learning domain of the model package you specified. Common machine learning domains include computer vision and natural language processing.
    
    Returns:
    
    The machine learning domain of the model package you specified. Common machine learning domains include computer vision and natural language processing.
  - withDomain
```
public DescribeModelPackageResult withDomain(String domain)
```
    The machine learning domain of the model package you specified. Common machine learning domains include computer vision and natural language processing.
    
    Parameters:
    
    domain - The machine learning domain of the model package you specified. Common machine learning domains include computer vision and natural language processing.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setTask
```
public void setTask(String task)
```
    The machine learning task you specified that your model package accomplishes. Common machine learning tasks include object detection and image classification.
    
    Parameters:
    
    task - The machine learning task you specified that your model package accomplishes. Common machine learning tasks include object detection and image classification.
  - getTask
```
public String getTask()
```
    The machine learning task you specified that your model package accomplishes. Common machine learning tasks include object detection and image classification.
    
    Returns:
    
    The machine learning task you specified that your model package accomplishes. Common machine learning tasks include object detection and image classification.
  - withTask
```
public DescribeModelPackageResult withTask(String task)
```
    The machine learning task you specified that your model package accomplishes. Common machine learning tasks include object detection and image classification.
    
    Parameters:
    
    task - The machine learning task you specified that your model package accomplishes. Common machine learning tasks include object detection and image classification.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setSamplePayloadUrl
```
public void setSamplePayloadUrl(String samplePayloadUrl)
```
    The Amazon Simple Storage Service (Amazon S3) path where the sample payload are stored. This path points to a single gzip compressed tar archive (.tar.gz suffix).
    
    Parameters:
    
    samplePayloadUrl - The Amazon Simple Storage Service (Amazon S3) path where the sample payload are stored. This path points to a single gzip compressed tar archive (.tar.gz suffix).
  - getSamplePayloadUrl
```
public String getSamplePayloadUrl()
```
    The Amazon Simple Storage Service (Amazon S3) path where the sample payload are stored. This path points to a single gzip compressed tar archive (.tar.gz suffix).
    
    Returns:
    
    The Amazon Simple Storage Service (Amazon S3) path where the sample payload are stored. This path points to a single gzip compressed tar archive (.tar.gz suffix).
  - withSamplePayloadUrl
```
public DescribeModelPackageResult withSamplePayloadUrl(String samplePayloadUrl)
```
    The Amazon Simple Storage Service (Amazon S3) path where the sample payload are stored. This path points to a single gzip compressed tar archive (.tar.gz suffix).
    
    Parameters:
    
    samplePayloadUrl - The Amazon Simple Storage Service (Amazon S3) path where the sample payload are stored. This path points to a single gzip compressed tar archive (.tar.gz suffix).
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getCustomerMetadataProperties
```
public Map<String,String> getCustomerMetadataProperties()
```
    The metadata properties associated with the model package versions.
    
    Returns:
    
    The metadata properties associated with the model package versions.
  - setCustomerMetadataProperties
```
public void setCustomerMetadataProperties(Map<String,String> customerMetadataProperties)
```
    The metadata properties associated with the model package versions.
    
    Parameters:
    
    customerMetadataProperties - The metadata properties associated with the model package versions.
  - withCustomerMetadataProperties
```
public DescribeModelPackageResult withCustomerMetadataProperties(Map<String,String> customerMetadataProperties)
```
    The metadata properties associated with the model package versions.
    
    Parameters:
    
    customerMetadataProperties - The metadata properties associated with the model package versions.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - addCustomerMetadataPropertiesEntry
```
public DescribeModelPackageResult addCustomerMetadataPropertiesEntry(String key,
 String value)
```
    Add a single CustomerMetadataProperties entry
    
    See Also:
    
    withCustomerMetadataProperties(java.util.Map<java.lang.String, java.lang.String>)
  - clearCustomerMetadataPropertiesEntries
```
public DescribeModelPackageResult clearCustomerMetadataPropertiesEntries()
```
    Removes all the entries added into CustomerMetadataProperties.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setDriftCheckBaselines
```
public void setDriftCheckBaselines(DriftCheckBaselines driftCheckBaselines)
```
    Represents the drift check baselines that can be used when the model monitor is set using the model package. For more information, see the topic on Drift Detection against Previous Baselines in SageMaker Pipelines in the Amazon SageMaker Developer Guide.
    
    Parameters:
    
    driftCheckBaselines - Represents the drift check baselines that can be used when the model monitor is set using the model package. For more information, see the topic on Drift Detection against Previous Baselines in SageMaker Pipelines in the Amazon SageMaker Developer Guide.
  - getDriftCheckBaselines
```
public DriftCheckBaselines getDriftCheckBaselines()
```
    Represents the drift check baselines that can be used when the model monitor is set using the model package. For more information, see the topic on Drift Detection against Previous Baselines in SageMaker Pipelines in the Amazon SageMaker Developer Guide.
    
    Returns:
    
    Represents the drift check baselines that can be used when the model monitor is set using the model package. For more information, see the topic on Drift Detection against Previous Baselines in SageMaker Pipelines in the Amazon SageMaker Developer Guide.
  - withDriftCheckBaselines
```
public DescribeModelPackageResult withDriftCheckBaselines(DriftCheckBaselines driftCheckBaselines)
```
    Represents the drift check baselines that can be used when the model monitor is set using the model package. For more information, see the topic on Drift Detection against Previous Baselines in SageMaker Pipelines in the Amazon SageMaker Developer Guide.
    
    Parameters:
    
    driftCheckBaselines - Represents the drift check baselines that can be used when the model monitor is set using the model package. For more information, see the topic on Drift Detection against Previous Baselines in SageMaker Pipelines in the Amazon SageMaker Developer Guide.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getAdditionalInferenceSpecifications
```
public List<AdditionalInferenceSpecificationDefinition> getAdditionalInferenceSpecifications()
```
    An array of additional Inference Specification objects. Each additional Inference Specification 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:
    
    An array of additional Inference Specification objects. Each additional Inference Specification specifies artifacts based on this model package that can be used on inference endpoints. Generally used with SageMaker Neo to store the compiled artifacts.
  - setAdditionalInferenceSpecifications
```
public void setAdditionalInferenceSpecifications(Collection<AdditionalInferenceSpecificationDefinition> additionalInferenceSpecifications)
```
    An array of additional Inference Specification objects. Each additional Inference Specification specifies artifacts based on this model package that can be used on inference endpoints. Generally used with SageMaker Neo to store the compiled artifacts.
    
    Parameters:
    
    additionalInferenceSpecifications - An array of additional Inference Specification objects. Each additional Inference Specification specifies artifacts based on this model package that can be used on inference endpoints. Generally used with SageMaker Neo to store the compiled artifacts.
  - withAdditionalInferenceSpecifications
```
public DescribeModelPackageResult withAdditionalInferenceSpecifications(AdditionalInferenceSpecificationDefinition... additionalInferenceSpecifications)
```
    An array of additional Inference Specification objects. Each additional Inference Specification specifies artifacts based on this model package that can be used on inference endpoints. Generally used with SageMaker Neo to store the compiled artifacts.
    
    NOTE: This method appends the values to the existing list (if any). Use setAdditionalInferenceSpecifications(java.util.Collection) or withAdditionalInferenceSpecifications(java.util.Collection) if you want to override the existing values.
    
    Parameters:
    
    additionalInferenceSpecifications - An array of additional Inference Specification objects. Each additional Inference Specification 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:
    
    Returns a reference to this object so that method calls can be chained together.
  - withAdditionalInferenceSpecifications
```
public DescribeModelPackageResult withAdditionalInferenceSpecifications(Collection<AdditionalInferenceSpecificationDefinition> additionalInferenceSpecifications)
```
    An array of additional Inference Specification objects. Each additional Inference Specification specifies artifacts based on this model package that can be used on inference endpoints. Generally used with SageMaker Neo to store the compiled artifacts.
    
    Parameters:
    
    additionalInferenceSpecifications - An array of additional Inference Specification objects. Each additional Inference Specification 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:
    
    Returns a reference to this object so that method calls can be chained together.
  - setSkipModelValidation
```
public void setSkipModelValidation(String skipModelValidation)
```
    Indicates if you want to skip model validation.
    
    Parameters:
    
    skipModelValidation - Indicates if you want to skip model validation.
    
    See Also:
    
    SkipModelValidation
  - getSkipModelValidation
```
public String getSkipModelValidation()
```
    Indicates if you want to skip model validation.
    
    Returns:
    
    Indicates if you want to skip model validation.
    
    See Also:
    
    SkipModelValidation
  - withSkipModelValidation
```
public DescribeModelPackageResult withSkipModelValidation(String skipModelValidation)
```
    Indicates if you want to skip model validation.
    
    Parameters:
    
    skipModelValidation - Indicates if you want to skip model validation.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    SkipModelValidation
  - withSkipModelValidation
```
public DescribeModelPackageResult withSkipModelValidation(SkipModelValidation skipModelValidation)
```
    Indicates if you want to skip model validation.
    
    Parameters:
    
    skipModelValidation - Indicates if you want to skip model validation.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    SkipModelValidation
  - setSourceUri
```
public void setSourceUri(String sourceUri)
```
    The URI of the source for the model package.
    
    Parameters:
    
    sourceUri - The URI of the source for the model package.
  - getSourceUri
```
public String getSourceUri()
```
    The URI of the source for the model package.
    
    Returns:
    
    The URI of the source for the model package.
  - withSourceUri
```
public DescribeModelPackageResult withSourceUri(String sourceUri)
```
    The URI of the source for the model package.
    
    Parameters:
    
    sourceUri - The URI of the source for the model package.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setSecurityConfig
```
public void setSecurityConfig(ModelPackageSecurityConfig securityConfig)
```
    The KMS Key ID (KMSKeyId) used for encryption of model package information.
    
    Parameters:
    
    securityConfig - The KMS Key ID (KMSKeyId) used for encryption of model package information.
  - getSecurityConfig
```
public ModelPackageSecurityConfig getSecurityConfig()
```
    The KMS Key ID (KMSKeyId) used for encryption of model package information.
    
    Returns:
    
    The KMS Key ID (KMSKeyId) used for encryption of model package information.
  - withSecurityConfig
```
public DescribeModelPackageResult withSecurityConfig(ModelPackageSecurityConfig securityConfig)
```
    The KMS Key ID (KMSKeyId) used for encryption of model package information.
    
    Parameters:
    
    securityConfig - The KMS Key ID (KMSKeyId) used for encryption of model package information.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setModelCard
```
public void setModelCard(ModelPackageModelCard modelCard)
```
    The model card associated with the model package. Since ModelPackageModelCard is tied to a model package, it is a specific usage of a model card and its schema is simplified compared to the schema of ModelCard. The ModelPackageModelCard schema does not include model_package_details, and model_overview is composed of the model_creator and model_artifact properties. For more information about the model package model card schema, see Model package model card schema. For more information about the model card associated with the model package, see View the Details of a Model Version.
    
    Parameters:
    
    modelCard - The model card associated with the model package. Since ModelPackageModelCard is tied to a model package, it is a specific usage of a model card and its schema is simplified compared to the schema of ModelCard. The ModelPackageModelCard schema does not include model_package_details, and model_overview is composed of the model_creator and model_artifact properties. For more information about the model package model card schema, see Model package model card schema. For more information about the model card associated with the model package, see View the Details of a Model Version.
  - getModelCard
```
public ModelPackageModelCard getModelCard()
```
    The model card associated with the model package. Since ModelPackageModelCard is tied to a model package, it is a specific usage of a model card and its schema is simplified compared to the schema of ModelCard. The ModelPackageModelCard schema does not include model_package_details, and model_overview is composed of the model_creator and model_artifact properties. For more information about the model package model card schema, see Model package model card schema. For more information about the model card associated with the model package, see View the Details of a Model Version.
    
    Returns:
    
    The model card associated with the model package. Since ModelPackageModelCard is tied to a model package, it is a specific usage of a model card and its schema is simplified compared to the schema of ModelCard. The ModelPackageModelCard schema does not include model_package_details, and model_overview is composed of the model_creator and model_artifact properties. For more information about the model package model card schema, see Model package model card schema. For more information about the model card associated with the model package, see View the Details of a Model Version.
  - withModelCard
```
public DescribeModelPackageResult withModelCard(ModelPackageModelCard modelCard)
```
    The model card associated with the model package. Since ModelPackageModelCard is tied to a model package, it is a specific usage of a model card and its schema is simplified compared to the schema of ModelCard. The ModelPackageModelCard schema does not include model_package_details, and model_overview is composed of the model_creator and model_artifact properties. For more information about the model package model card schema, see Model package model card schema. For more information about the model card associated with the model package, see View the Details of a Model Version.
    
    Parameters:
    
    modelCard - The model card associated with the model package. Since ModelPackageModelCard is tied to a model package, it is a specific usage of a model card and its schema is simplified compared to the schema of ModelCard. The ModelPackageModelCard schema does not include model_package_details, and model_overview is composed of the model_creator and model_artifact properties. For more information about the model package model card schema, see Model package model card schema. For more information about the model card associated with the model package, see View the Details of a Model Version.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - toString
```
public String toString()
```
    Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
    
    Overrides:
    
    toString in class Object
    
    Returns:
    
    A string representation of this object.
    
    See Also:
    
    Object.toString()
  - equals
```
public boolean equals(Object obj)
```
    Overrides:
    
    equals in class Object
  - hashCode
```
public int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - clone
```
public DescribeModelPackageResult clone()
```
    Overrides:
    
    clone in class Object

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AWS SDK for Java 1.x API Reference - 1.12.795

Class DescribeModelPackageResult

Constructor Summary

Method Summary

Methods inherited from class com.amazonaws.AmazonWebServiceResult

Methods inherited from class java.lang.Object

Constructor Detail

DescribeModelPackageResult

Method Detail

setModelPackageName

getModelPackageName

withModelPackageName

setModelPackageGroupName

getModelPackageGroupName

withModelPackageGroupName

setModelPackageVersion

getModelPackageVersion

withModelPackageVersion

setModelPackageArn

getModelPackageArn

withModelPackageArn

setModelPackageDescription

getModelPackageDescription

withModelPackageDescription

setCreationTime

getCreationTime

withCreationTime

setInferenceSpecification

getInferenceSpecification

withInferenceSpecification

setSourceAlgorithmSpecification

getSourceAlgorithmSpecification

withSourceAlgorithmSpecification

setValidationSpecification

getValidationSpecification

withValidationSpecification

setModelPackageStatus

getModelPackageStatus

withModelPackageStatus

withModelPackageStatus

setModelPackageStatusDetails

getModelPackageStatusDetails

withModelPackageStatusDetails

setCertifyForMarketplace

getCertifyForMarketplace

withCertifyForMarketplace

isCertifyForMarketplace

setModelApprovalStatus

getModelApprovalStatus

withModelApprovalStatus

withModelApprovalStatus

setCreatedBy

getCreatedBy

withCreatedBy

setMetadataProperties

getMetadataProperties

withMetadataProperties

setModelMetrics

getModelMetrics

withModelMetrics

setLastModifiedTime

getLastModifiedTime

withLastModifiedTime

setLastModifiedBy

getLastModifiedBy

withLastModifiedBy

setApprovalDescription

getApprovalDescription

withApprovalDescription

setDomain

getDomain

withDomain

setTask

getTask

withTask

setSamplePayloadUrl

getSamplePayloadUrl

withSamplePayloadUrl

getCustomerMetadataProperties

setCustomerMetadataProperties