DescribeInferenceExperimentResult (AWS SDK for Java

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

All Implemented Interfaces:: Serializable, Cloneable

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

See Also:: AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

DescribeInferenceExperimentResult()

Constructors
Constructor and Description
`DescribeInferenceExperimentResult()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`DescribeInferenceExperimentResult`	`clone()`
`boolean`	`equals(Object obj)`
`String`	`getArn()` The ARN of the inference experiment being described.
`Date`	`getCompletionTime()` The timestamp at which the inference experiment was completed.
`Date`	`getCreationTime()` The timestamp at which you created the inference experiment.
`InferenceExperimentDataStorageConfig`	`getDataStorageConfig()` The Amazon S3 location and configuration for storing inference request and response data.
`String`	`getDescription()` The description of the inference experiment.
`EndpointMetadata`	`getEndpointMetadata()` The metadata of the endpoint on which the inference experiment ran.
`String`	`getKmsKey()` The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
`Date`	`getLastModifiedTime()` The timestamp at which you last modified the inference experiment.
`List<ModelVariantConfigSummary>`	`getModelVariants()` An array of `ModelVariantConfigSummary` objects.
`String`	`getName()` The name of the inference experiment.
`String`	`getRoleArn()` The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.
`InferenceExperimentSchedule`	`getSchedule()` The duration for which the inference experiment ran or will run.
`ShadowModeConfig`	`getShadowModeConfig()` The configuration of `ShadowMode` inference experiment type, which shows the production variant that takes all the inference requests, and the shadow variant to which Amazon SageMaker replicates a percentage of the inference requests.
`String`	`getStatus()` The status of the inference experiment.
`String`	`getStatusReason()` The error message or client-specified `Reason` from the StopInferenceExperiment API, that explains the status of the inference experiment.
`String`	`getType()` The type of the inference experiment.
`int`	`hashCode()`
`void`	`setArn(String arn)` The ARN of the inference experiment being described.
`void`	`setCompletionTime(Date completionTime)` The timestamp at which the inference experiment was completed.
`void`	`setCreationTime(Date creationTime)` The timestamp at which you created the inference experiment.
`void`	`setDataStorageConfig(InferenceExperimentDataStorageConfig dataStorageConfig)` The Amazon S3 location and configuration for storing inference request and response data.
`void`	`setDescription(String description)` The description of the inference experiment.
`void`	`setEndpointMetadata(EndpointMetadata endpointMetadata)` The metadata of the endpoint on which the inference experiment ran.
`void`	`setKmsKey(String kmsKey)` The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
`void`	`setLastModifiedTime(Date lastModifiedTime)` The timestamp at which you last modified the inference experiment.
`void`	`setModelVariants(Collection<ModelVariantConfigSummary> modelVariants)` An array of `ModelVariantConfigSummary` objects.
`void`	`setName(String name)` The name of the inference experiment.
`void`	`setRoleArn(String roleArn)` The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.
`void`	`setSchedule(InferenceExperimentSchedule schedule)` The duration for which the inference experiment ran or will run.
`void`	`setShadowModeConfig(ShadowModeConfig shadowModeConfig)` The configuration of `ShadowMode` inference experiment type, which shows the production variant that takes all the inference requests, and the shadow variant to which Amazon SageMaker replicates a percentage of the inference requests.
`void`	`setStatus(String status)` The status of the inference experiment.
`void`	`setStatusReason(String statusReason)` The error message or client-specified `Reason` from the StopInferenceExperiment API, that explains the status of the inference experiment.
`void`	`setType(String type)` The type of the inference experiment.
`String`	`toString()` Returns a string representation of this object.
`DescribeInferenceExperimentResult`	`withArn(String arn)` The ARN of the inference experiment being described.
`DescribeInferenceExperimentResult`	`withCompletionTime(Date completionTime)` The timestamp at which the inference experiment was completed.
`DescribeInferenceExperimentResult`	`withCreationTime(Date creationTime)` The timestamp at which you created the inference experiment.
`DescribeInferenceExperimentResult`	`withDataStorageConfig(InferenceExperimentDataStorageConfig dataStorageConfig)` The Amazon S3 location and configuration for storing inference request and response data.
`DescribeInferenceExperimentResult`	`withDescription(String description)` The description of the inference experiment.
`DescribeInferenceExperimentResult`	`withEndpointMetadata(EndpointMetadata endpointMetadata)` The metadata of the endpoint on which the inference experiment ran.
`DescribeInferenceExperimentResult`	`withKmsKey(String kmsKey)` The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
`DescribeInferenceExperimentResult`	`withLastModifiedTime(Date lastModifiedTime)` The timestamp at which you last modified the inference experiment.
`DescribeInferenceExperimentResult`	`withModelVariants(Collection<ModelVariantConfigSummary> modelVariants)` An array of `ModelVariantConfigSummary` objects.
`DescribeInferenceExperimentResult`	`withModelVariants(ModelVariantConfigSummary... modelVariants)` An array of `ModelVariantConfigSummary` objects.
`DescribeInferenceExperimentResult`	`withName(String name)` The name of the inference experiment.
`DescribeInferenceExperimentResult`	`withRoleArn(String roleArn)` The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.
`DescribeInferenceExperimentResult`	`withSchedule(InferenceExperimentSchedule schedule)` The duration for which the inference experiment ran or will run.
`DescribeInferenceExperimentResult`	`withShadowModeConfig(ShadowModeConfig shadowModeConfig)` The configuration of `ShadowMode` inference experiment type, which shows the production variant that takes all the inference requests, and the shadow variant to which Amazon SageMaker replicates a percentage of the inference requests.
`DescribeInferenceExperimentResult`	`withStatus(InferenceExperimentStatus status)` The status of the inference experiment.
`DescribeInferenceExperimentResult`	`withStatus(String status)` The status of the inference experiment.
`DescribeInferenceExperimentResult`	`withStatusReason(String statusReason)` The error message or client-specified `Reason` from the StopInferenceExperiment API, that explains the status of the inference experiment.
`DescribeInferenceExperimentResult`	`withType(InferenceExperimentType type)` The type of the inference experiment.
`DescribeInferenceExperimentResult`	`withType(String type)` The type of the inference experiment.

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
  - DescribeInferenceExperimentResult
```
public DescribeInferenceExperimentResult()
```
- Method Detail
  - setArn
```
public void setArn(String arn)
```
    The ARN of the inference experiment being described.
    
    Parameters:
    
    arn - The ARN of the inference experiment being described.
  - getArn
```
public String getArn()
```
    The ARN of the inference experiment being described.
    
    Returns:
    
    The ARN of the inference experiment being described.
  - withArn
```
public DescribeInferenceExperimentResult withArn(String arn)
```
    The ARN of the inference experiment being described.
    
    Parameters:
    
    arn - The ARN of the inference experiment being described.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setName
```
public void setName(String name)
```
    The name of the inference experiment.
    
    Parameters:
    
    name - The name of the inference experiment.
  - getName
```
public String getName()
```
    The name of the inference experiment.
    
    Returns:
    
    The name of the inference experiment.
  - withName
```
public DescribeInferenceExperimentResult withName(String name)
```
    The name of the inference experiment.
    
    Parameters:
    
    name - The name of the inference experiment.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setType
```
public void setType(String type)
```
    The type of the inference experiment.
    
    Parameters:
    
    type - The type of the inference experiment.
    
    See Also:
    
    InferenceExperimentType
  - getType
```
public String getType()
```
    The type of the inference experiment.
    
    Returns:
    
    The type of the inference experiment.
    
    See Also:
    
    InferenceExperimentType
  - withType
```
public DescribeInferenceExperimentResult withType(String type)
```
    The type of the inference experiment.
    
    Parameters:
    
    type - The type of the inference experiment.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    InferenceExperimentType
  - withType
```
public DescribeInferenceExperimentResult withType(InferenceExperimentType type)
```
    The type of the inference experiment.
    
    Parameters:
    
    type - The type of the inference experiment.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    InferenceExperimentType
  - setSchedule
```
public void setSchedule(InferenceExperimentSchedule schedule)
```
    The duration for which the inference experiment ran or will run.
    
    Parameters:
    
    schedule - The duration for which the inference experiment ran or will run.
  - getSchedule
```
public InferenceExperimentSchedule getSchedule()
```
    The duration for which the inference experiment ran or will run.
    
    Returns:
    
    The duration for which the inference experiment ran or will run.
  - withSchedule
```
public DescribeInferenceExperimentResult withSchedule(InferenceExperimentSchedule schedule)
```
    The duration for which the inference experiment ran or will run.
    
    Parameters:
    
    schedule - The duration for which the inference experiment ran or will run.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setStatus
```
public void setStatus(String status)
```
    The status of the inference experiment. The following are the possible statuses for an inference experiment:
    - Creating - Amazon SageMaker is creating your experiment.
    - Created - Amazon SageMaker has finished the creation of your experiment and will begin the experiment at the scheduled time.
    - Updating - When you make changes to your experiment, your experiment shows as updating.
    - Starting - Amazon SageMaker is beginning your experiment.
    - Running - Your experiment is in progress.
    - Stopping - Amazon SageMaker is stopping your experiment.
    - Completed - Your experiment has completed.
    - Cancelled - When you conclude your experiment early using the StopInferenceExperiment API, or if any operation fails with an unexpected error, it shows as cancelled.
    Parameters:
    status - The status of the inference experiment. The following are the possible statuses for an inference experiment:
    
    Creating - Amazon SageMaker is creating your experiment.
    
    Created - Amazon SageMaker has finished the creation of your experiment and will begin the experiment at the scheduled time.
    
    Updating - When you make changes to your experiment, your experiment shows as updating.
    
    Starting - Amazon SageMaker is beginning your experiment.
    
    Running - Your experiment is in progress.
    
    Stopping - Amazon SageMaker is stopping your experiment.
    
    Completed - Your experiment has completed.
    
    Cancelled - When you conclude your experiment early using the StopInferenceExperiment API, or if any operation fails with an unexpected error, it shows as cancelled.
    See Also:
    
    InferenceExperimentStatus
  - getStatus
```
public String getStatus()
```
    The status of the inference experiment. The following are the possible statuses for an inference experiment:
    - Creating - Amazon SageMaker is creating your experiment.
    - Created - Amazon SageMaker has finished the creation of your experiment and will begin the experiment at the scheduled time.
    - Updating - When you make changes to your experiment, your experiment shows as updating.
    - Starting - Amazon SageMaker is beginning your experiment.
    - Running - Your experiment is in progress.
    - Stopping - Amazon SageMaker is stopping your experiment.
    - Completed - Your experiment has completed.
    - Cancelled - When you conclude your experiment early using the StopInferenceExperiment API, or if any operation fails with an unexpected error, it shows as cancelled.
    Returns:
    The status of the inference experiment. The following are the possible statuses for an inference experiment:
    
    Creating - Amazon SageMaker is creating your experiment.
    
    Created - Amazon SageMaker has finished the creation of your experiment and will begin the experiment at the scheduled time.
    
    Updating - When you make changes to your experiment, your experiment shows as updating.
    
    Starting - Amazon SageMaker is beginning your experiment.
    
    Running - Your experiment is in progress.
    
    Stopping - Amazon SageMaker is stopping your experiment.
    
    Completed - Your experiment has completed.
    
    Cancelled - When you conclude your experiment early using the StopInferenceExperiment API, or if any operation fails with an unexpected error, it shows as cancelled.
    See Also:
    
    InferenceExperimentStatus
  - withStatus
```
public DescribeInferenceExperimentResult withStatus(String status)
```
    The status of the inference experiment. The following are the possible statuses for an inference experiment:
    - Creating - Amazon SageMaker is creating your experiment.
    - Created - Amazon SageMaker has finished the creation of your experiment and will begin the experiment at the scheduled time.
    - Updating - When you make changes to your experiment, your experiment shows as updating.
    - Starting - Amazon SageMaker is beginning your experiment.
    - Running - Your experiment is in progress.
    - Stopping - Amazon SageMaker is stopping your experiment.
    - Completed - Your experiment has completed.
    - Cancelled - When you conclude your experiment early using the StopInferenceExperiment API, or if any operation fails with an unexpected error, it shows as cancelled.
    Parameters:
    status - The status of the inference experiment. The following are the possible statuses for an inference experiment:
    
    Creating - Amazon SageMaker is creating your experiment.
    
    Created - Amazon SageMaker has finished the creation of your experiment and will begin the experiment at the scheduled time.
    
    Updating - When you make changes to your experiment, your experiment shows as updating.
    
    Starting - Amazon SageMaker is beginning your experiment.
    
    Running - Your experiment is in progress.
    
    Stopping - Amazon SageMaker is stopping your experiment.
    
    Completed - Your experiment has completed.
    
    Cancelled - When you conclude your experiment early using the StopInferenceExperiment API, or if any operation fails with an unexpected error, it shows as cancelled.
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    InferenceExperimentStatus
  - withStatus
```
public DescribeInferenceExperimentResult withStatus(InferenceExperimentStatus status)
```
    The status of the inference experiment. The following are the possible statuses for an inference experiment:
    - Creating - Amazon SageMaker is creating your experiment.
    - Created - Amazon SageMaker has finished the creation of your experiment and will begin the experiment at the scheduled time.
    - Updating - When you make changes to your experiment, your experiment shows as updating.
    - Starting - Amazon SageMaker is beginning your experiment.
    - Running - Your experiment is in progress.
    - Stopping - Amazon SageMaker is stopping your experiment.
    - Completed - Your experiment has completed.
    - Cancelled - When you conclude your experiment early using the StopInferenceExperiment API, or if any operation fails with an unexpected error, it shows as cancelled.
    Parameters:
    status - The status of the inference experiment. The following are the possible statuses for an inference experiment:
    
    Creating - Amazon SageMaker is creating your experiment.
    
    Created - Amazon SageMaker has finished the creation of your experiment and will begin the experiment at the scheduled time.
    
    Updating - When you make changes to your experiment, your experiment shows as updating.
    
    Starting - Amazon SageMaker is beginning your experiment.
    
    Running - Your experiment is in progress.
    
    Stopping - Amazon SageMaker is stopping your experiment.
    
    Completed - Your experiment has completed.
    
    Cancelled - When you conclude your experiment early using the StopInferenceExperiment API, or if any operation fails with an unexpected error, it shows as cancelled.
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    InferenceExperimentStatus
  - setStatusReason
```
public void setStatusReason(String statusReason)
```
    The error message or client-specified Reason from the StopInferenceExperiment API, that explains the status of the inference experiment.
    
    Parameters:
    
    statusReason - The error message or client-specified Reason from the StopInferenceExperiment API, that explains the status of the inference experiment.
  - getStatusReason
```
public String getStatusReason()
```
    The error message or client-specified Reason from the StopInferenceExperiment API, that explains the status of the inference experiment.
    
    Returns:
    
    The error message or client-specified Reason from the StopInferenceExperiment API, that explains the status of the inference experiment.
  - withStatusReason
```
public DescribeInferenceExperimentResult withStatusReason(String statusReason)
```
    The error message or client-specified Reason from the StopInferenceExperiment API, that explains the status of the inference experiment.
    
    Parameters:
    
    statusReason - The error message or client-specified Reason from the StopInferenceExperiment API, that explains the status of the inference experiment.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setDescription
```
public void setDescription(String description)
```
    The description of the inference experiment.
    
    Parameters:
    
    description - The description of the inference experiment.
  - getDescription
```
public String getDescription()
```
    The description of the inference experiment.
    
    Returns:
    
    The description of the inference experiment.
  - withDescription
```
public DescribeInferenceExperimentResult withDescription(String description)
```
    The description of the inference experiment.
    
    Parameters:
    
    description - The description of the inference experiment.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setCreationTime
```
public void setCreationTime(Date creationTime)
```
    The timestamp at which you created the inference experiment.
    
    Parameters:
    
    creationTime - The timestamp at which you created the inference experiment.
  - getCreationTime
```
public Date getCreationTime()
```
    The timestamp at which you created the inference experiment.
    
    Returns:
    
    The timestamp at which you created the inference experiment.
  - withCreationTime
```
public DescribeInferenceExperimentResult withCreationTime(Date creationTime)
```
    The timestamp at which you created the inference experiment.
    
    Parameters:
    
    creationTime - The timestamp at which you created the inference experiment.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setCompletionTime
```
public void setCompletionTime(Date completionTime)
```
    The timestamp at which the inference experiment was completed.
    
    Parameters:
    
    completionTime - The timestamp at which the inference experiment was completed.
  - getCompletionTime
```
public Date getCompletionTime()
```
    The timestamp at which the inference experiment was completed.
    
    Returns:
    
    The timestamp at which the inference experiment was completed.
  - withCompletionTime
```
public DescribeInferenceExperimentResult withCompletionTime(Date completionTime)
```
    The timestamp at which the inference experiment was completed.
    
    Parameters:
    
    completionTime - The timestamp at which the inference experiment was completed.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setLastModifiedTime
```
public void setLastModifiedTime(Date lastModifiedTime)
```
    The timestamp at which you last modified the inference experiment.
    
    Parameters:
    
    lastModifiedTime - The timestamp at which you last modified the inference experiment.
  - getLastModifiedTime
```
public Date getLastModifiedTime()
```
    The timestamp at which you last modified the inference experiment.
    
    Returns:
    
    The timestamp at which you last modified the inference experiment.
  - withLastModifiedTime
```
public DescribeInferenceExperimentResult withLastModifiedTime(Date lastModifiedTime)
```
    The timestamp at which you last modified the inference experiment.
    
    Parameters:
    
    lastModifiedTime - The timestamp at which you last modified the inference experiment.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setRoleArn
```
public void setRoleArn(String roleArn)
```
    The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.
    
    Parameters:
    
    roleArn - The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.
  - getRoleArn
```
public String getRoleArn()
```
    The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.
    
    Returns:
    
    The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.
  - withRoleArn
```
public DescribeInferenceExperimentResult withRoleArn(String roleArn)
```
    The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.
    
    Parameters:
    
    roleArn - The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setEndpointMetadata
```
public void setEndpointMetadata(EndpointMetadata endpointMetadata)
```
    The metadata of the endpoint on which the inference experiment ran.
    
    Parameters:
    
    endpointMetadata - The metadata of the endpoint on which the inference experiment ran.
  - getEndpointMetadata
```
public EndpointMetadata getEndpointMetadata()
```
    The metadata of the endpoint on which the inference experiment ran.
    
    Returns:
    
    The metadata of the endpoint on which the inference experiment ran.
  - withEndpointMetadata
```
public DescribeInferenceExperimentResult withEndpointMetadata(EndpointMetadata endpointMetadata)
```
    The metadata of the endpoint on which the inference experiment ran.
    
    Parameters:
    
    endpointMetadata - The metadata of the endpoint on which the inference experiment ran.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getModelVariants
```
public List<ModelVariantConfigSummary> getModelVariants()
```
    An array of ModelVariantConfigSummary objects. There is one for each variant in the inference experiment. Each ModelVariantConfigSummary object in the array describes the infrastructure configuration for deploying the corresponding variant.
    
    Returns:
    
    An array of ModelVariantConfigSummary objects. There is one for each variant in the inference experiment. Each ModelVariantConfigSummary object in the array describes the infrastructure configuration for deploying the corresponding variant.
  - setModelVariants
```
public void setModelVariants(Collection<ModelVariantConfigSummary> modelVariants)
```
    An array of ModelVariantConfigSummary objects. There is one for each variant in the inference experiment. Each ModelVariantConfigSummary object in the array describes the infrastructure configuration for deploying the corresponding variant.
    
    Parameters:
    
    modelVariants - An array of ModelVariantConfigSummary objects. There is one for each variant in the inference experiment. Each ModelVariantConfigSummary object in the array describes the infrastructure configuration for deploying the corresponding variant.
  - withModelVariants
```
public DescribeInferenceExperimentResult withModelVariants(ModelVariantConfigSummary... modelVariants)
```
    An array of ModelVariantConfigSummary objects. There is one for each variant in the inference experiment. Each ModelVariantConfigSummary object in the array describes the infrastructure configuration for deploying the corresponding variant.
    
    NOTE: This method appends the values to the existing list (if any). Use setModelVariants(java.util.Collection) or withModelVariants(java.util.Collection) if you want to override the existing values.
    
    Parameters:
    
    modelVariants - An array of ModelVariantConfigSummary objects. There is one for each variant in the inference experiment. Each ModelVariantConfigSummary object in the array describes the infrastructure configuration for deploying the corresponding variant.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - withModelVariants
```
public DescribeInferenceExperimentResult withModelVariants(Collection<ModelVariantConfigSummary> modelVariants)
```
    An array of ModelVariantConfigSummary objects. There is one for each variant in the inference experiment. Each ModelVariantConfigSummary object in the array describes the infrastructure configuration for deploying the corresponding variant.
    
    Parameters:
    
    modelVariants - An array of ModelVariantConfigSummary objects. There is one for each variant in the inference experiment. Each ModelVariantConfigSummary object in the array describes the infrastructure configuration for deploying the corresponding variant.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setDataStorageConfig
```
public void setDataStorageConfig(InferenceExperimentDataStorageConfig dataStorageConfig)
```
    The Amazon S3 location and configuration for storing inference request and response data.
    
    Parameters:
    
    dataStorageConfig - The Amazon S3 location and configuration for storing inference request and response data.
  - getDataStorageConfig
```
public InferenceExperimentDataStorageConfig getDataStorageConfig()
```
    The Amazon S3 location and configuration for storing inference request and response data.
    
    Returns:
    
    The Amazon S3 location and configuration for storing inference request and response data.
  - withDataStorageConfig
```
public DescribeInferenceExperimentResult withDataStorageConfig(InferenceExperimentDataStorageConfig dataStorageConfig)
```
    The Amazon S3 location and configuration for storing inference request and response data.
    
    Parameters:
    
    dataStorageConfig - The Amazon S3 location and configuration for storing inference request and response data.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setShadowModeConfig
```
public void setShadowModeConfig(ShadowModeConfig shadowModeConfig)
```
    The configuration of ShadowMode inference experiment type, which shows the production variant that takes all the inference requests, and the shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant it also shows the percentage of requests that Amazon SageMaker replicates.
    
    Parameters:
    
    shadowModeConfig - The configuration of ShadowMode inference experiment type, which shows the production variant that takes all the inference requests, and the shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant it also shows the percentage of requests that Amazon SageMaker replicates.
  - getShadowModeConfig
```
public ShadowModeConfig getShadowModeConfig()
```
    The configuration of ShadowMode inference experiment type, which shows the production variant that takes all the inference requests, and the shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant it also shows the percentage of requests that Amazon SageMaker replicates.
    
    Returns:
    
    The configuration of ShadowMode inference experiment type, which shows the production variant that takes all the inference requests, and the shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant it also shows the percentage of requests that Amazon SageMaker replicates.
  - withShadowModeConfig
```
public DescribeInferenceExperimentResult withShadowModeConfig(ShadowModeConfig shadowModeConfig)
```
    The configuration of ShadowMode inference experiment type, which shows the production variant that takes all the inference requests, and the shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant it also shows the percentage of requests that Amazon SageMaker replicates.
    
    Parameters:
    
    shadowModeConfig - The configuration of ShadowMode inference experiment type, which shows the production variant that takes all the inference requests, and the shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant it also shows the percentage of requests that Amazon SageMaker replicates.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setKmsKey
```
public void setKmsKey(String kmsKey)
```
    The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. For more information, see CreateInferenceExperiment.
    
    Parameters:
    
    kmsKey - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. For more information, see CreateInferenceExperiment.
  - getKmsKey
```
public String getKmsKey()
```
    The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. For more information, see CreateInferenceExperiment.
    
    Returns:
    
    The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. For more information, see CreateInferenceExperiment.
  - withKmsKey
```
public DescribeInferenceExperimentResult withKmsKey(String kmsKey)
```
    The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. For more information, see CreateInferenceExperiment.
    
    Parameters:
    
    kmsKey - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. For more information, see CreateInferenceExperiment.
    
    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 DescribeInferenceExperimentResult clone()
```
    Overrides:
    
    clone in class Object

AWS SDK for Java 1.x API Reference - 1.12.773

Class DescribeInferenceExperimentResult

Constructor Summary

Method Summary

Methods inherited from class com.amazonaws.AmazonWebServiceResult

Methods inherited from class java.lang.Object

Constructor Detail

DescribeInferenceExperimentResult

Method Detail

setArn

getArn

withArn

setName

getName

withName

setType

getType

withType

withType

setSchedule

getSchedule

withSchedule

setStatus

getStatus

withStatus

withStatus

setStatusReason

getStatusReason

withStatusReason

setDescription

getDescription

withDescription

setCreationTime

getCreationTime

withCreationTime

setCompletionTime

getCompletionTime

withCompletionTime

setLastModifiedTime

getLastModifiedTime

withLastModifiedTime

setRoleArn

getRoleArn

withRoleArn

setEndpointMetadata

getEndpointMetadata

withEndpointMetadata

getModelVariants

setModelVariants

withModelVariants

withModelVariants

setDataStorageConfig

getDataStorageConfig

withDataStorageConfig

setShadowModeConfig

getShadowModeConfig

withShadowModeConfig

setKmsKey

getKmsKey

withKmsKey

toString

equals

hashCode

clone