ProductionVariant (AWS Java SDK for Amazon SageMaker 1.12.782 API)

java.lang.Object
- com.amazonaws.services.sagemaker.model.ProductionVariant

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable
```
@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class ProductionVariant
extends Object
implements Serializable, Cloneable, StructuredPojo
```
Identifies a model that you want to host and the resources chosen to deploy for hosting it. If you are deploying multiple models, tell SageMaker how to distribute traffic among the models by specifying variant weights. For more information on production variants, check Production variants.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

ProductionVariant()

Constructors
Constructor and Description
`ProductionVariant()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`ProductionVariant`	`clone()`
`boolean`	`equals(Object obj)`
`String`	`getAcceleratorType()` The size of the Elastic Inference (EI) instance to use for the production variant.
`Integer`	`getContainerStartupHealthCheckTimeoutInSeconds()` The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting.
`ProductionVariantCoreDumpConfig`	`getCoreDumpConfig()` Specifies configuration for a core dump from the model container when the process crashes.
`Boolean`	`getEnableSSMAccess()` You can use this parameter to turn on native Amazon Web Services Systems Manager (SSM) access for a production variant behind an endpoint.
`String`	`getInferenceAmiVersion()` Specifies an option from a collection of preconfigured Amazon Machine Image (AMI) images.
`Integer`	`getInitialInstanceCount()` Number of instances to launch initially.
`Float`	`getInitialVariantWeight()` Determines initial traffic distribution among all of the models that you specify in the endpoint configuration.
`String`	`getInstanceType()` The ML compute instance type.
`ProductionVariantManagedInstanceScaling`	`getManagedInstanceScaling()` Settings that control the range in the number of instances that the endpoint provisions as it scales up or down to accommodate traffic.
`Integer`	`getModelDataDownloadTimeoutInSeconds()` The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the individual inference instance associated with this production variant.
`String`	`getModelName()` The name of the model that you want to host.
`ProductionVariantRoutingConfig`	`getRoutingConfig()` Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.
`ProductionVariantServerlessConfig`	`getServerlessConfig()` The serverless configuration for an endpoint.
`String`	`getVariantName()` The name of the production variant.
`Integer`	`getVolumeSizeInGB()` The size, in GB, of the ML storage volume attached to individual inference instance associated with the production variant.
`int`	`hashCode()`
`Boolean`	`isEnableSSMAccess()` You can use this parameter to turn on native Amazon Web Services Systems Manager (SSM) access for a production variant behind an endpoint.
`void`	`marshall(ProtocolMarshaller protocolMarshaller)`
`void`	`setAcceleratorType(String acceleratorType)` The size of the Elastic Inference (EI) instance to use for the production variant.
`void`	`setContainerStartupHealthCheckTimeoutInSeconds(Integer containerStartupHealthCheckTimeoutInSeconds)` The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting.
`void`	`setCoreDumpConfig(ProductionVariantCoreDumpConfig coreDumpConfig)` Specifies configuration for a core dump from the model container when the process crashes.
`void`	`setEnableSSMAccess(Boolean enableSSMAccess)` You can use this parameter to turn on native Amazon Web Services Systems Manager (SSM) access for a production variant behind an endpoint.
`void`	`setInferenceAmiVersion(String inferenceAmiVersion)` Specifies an option from a collection of preconfigured Amazon Machine Image (AMI) images.
`void`	`setInitialInstanceCount(Integer initialInstanceCount)` Number of instances to launch initially.
`void`	`setInitialVariantWeight(Float initialVariantWeight)` Determines initial traffic distribution among all of the models that you specify in the endpoint configuration.
`void`	`setInstanceType(String instanceType)` The ML compute instance type.
`void`	`setManagedInstanceScaling(ProductionVariantManagedInstanceScaling managedInstanceScaling)` Settings that control the range in the number of instances that the endpoint provisions as it scales up or down to accommodate traffic.
`void`	`setModelDataDownloadTimeoutInSeconds(Integer modelDataDownloadTimeoutInSeconds)` The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the individual inference instance associated with this production variant.
`void`	`setModelName(String modelName)` The name of the model that you want to host.
`void`	`setRoutingConfig(ProductionVariantRoutingConfig routingConfig)` Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.
`void`	`setServerlessConfig(ProductionVariantServerlessConfig serverlessConfig)` The serverless configuration for an endpoint.
`void`	`setVariantName(String variantName)` The name of the production variant.
`void`	`setVolumeSizeInGB(Integer volumeSizeInGB)` The size, in GB, of the ML storage volume attached to individual inference instance associated with the production variant.
`String`	`toString()` Returns a string representation of this object.
`ProductionVariant`	`withAcceleratorType(ProductionVariantAcceleratorType acceleratorType)` The size of the Elastic Inference (EI) instance to use for the production variant.
`ProductionVariant`	`withAcceleratorType(String acceleratorType)` The size of the Elastic Inference (EI) instance to use for the production variant.
`ProductionVariant`	`withContainerStartupHealthCheckTimeoutInSeconds(Integer containerStartupHealthCheckTimeoutInSeconds)` The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting.
`ProductionVariant`	`withCoreDumpConfig(ProductionVariantCoreDumpConfig coreDumpConfig)` Specifies configuration for a core dump from the model container when the process crashes.
`ProductionVariant`	`withEnableSSMAccess(Boolean enableSSMAccess)` You can use this parameter to turn on native Amazon Web Services Systems Manager (SSM) access for a production variant behind an endpoint.
`ProductionVariant`	`withInferenceAmiVersion(ProductionVariantInferenceAmiVersion inferenceAmiVersion)` Specifies an option from a collection of preconfigured Amazon Machine Image (AMI) images.
`ProductionVariant`	`withInferenceAmiVersion(String inferenceAmiVersion)` Specifies an option from a collection of preconfigured Amazon Machine Image (AMI) images.
`ProductionVariant`	`withInitialInstanceCount(Integer initialInstanceCount)` Number of instances to launch initially.
`ProductionVariant`	`withInitialVariantWeight(Float initialVariantWeight)` Determines initial traffic distribution among all of the models that you specify in the endpoint configuration.
`ProductionVariant`	`withInstanceType(ProductionVariantInstanceType instanceType)` The ML compute instance type.
`ProductionVariant`	`withInstanceType(String instanceType)` The ML compute instance type.
`ProductionVariant`	`withManagedInstanceScaling(ProductionVariantManagedInstanceScaling managedInstanceScaling)` Settings that control the range in the number of instances that the endpoint provisions as it scales up or down to accommodate traffic.
`ProductionVariant`	`withModelDataDownloadTimeoutInSeconds(Integer modelDataDownloadTimeoutInSeconds)` The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the individual inference instance associated with this production variant.
`ProductionVariant`	`withModelName(String modelName)` The name of the model that you want to host.
`ProductionVariant`	`withRoutingConfig(ProductionVariantRoutingConfig routingConfig)` Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.
`ProductionVariant`	`withServerlessConfig(ProductionVariantServerlessConfig serverlessConfig)` The serverless configuration for an endpoint.
`ProductionVariant`	`withVariantName(String variantName)` The name of the production variant.
`ProductionVariant`	`withVolumeSizeInGB(Integer volumeSizeInGB)` The size, in GB, of the ML storage volume attached to individual inference instance associated with the production variant.

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

- Constructor Detail
  - ProductionVariant
```
public ProductionVariant()
```
- Method Detail
  - setVariantName
```
public void setVariantName(String variantName)
```
    The name of the production variant.
    
    Parameters:
    
    variantName - The name of the production variant.
  - getVariantName
```
public String getVariantName()
```
    The name of the production variant.
    
    Returns:
    
    The name of the production variant.
  - withVariantName
```
public ProductionVariant withVariantName(String variantName)
```
    The name of the production variant.
    
    Parameters:
    
    variantName - The name of the production variant.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setModelName
```
public void setModelName(String modelName)
```
    The name of the model that you want to host. This is the name that you specified when creating the model.
    
    Parameters:
    
    modelName - The name of the model that you want to host. This is the name that you specified when creating the model.
  - getModelName
```
public String getModelName()
```
    The name of the model that you want to host. This is the name that you specified when creating the model.
    
    Returns:
    
    The name of the model that you want to host. This is the name that you specified when creating the model.
  - withModelName
```
public ProductionVariant withModelName(String modelName)
```
    The name of the model that you want to host. This is the name that you specified when creating the model.
    
    Parameters:
    
    modelName - The name of the model that you want to host. This is the name that you specified when creating the model.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setInitialInstanceCount
```
public void setInitialInstanceCount(Integer initialInstanceCount)
```
    Number of instances to launch initially.
    
    Parameters:
    
    initialInstanceCount - Number of instances to launch initially.
  - getInitialInstanceCount
```
public Integer getInitialInstanceCount()
```
    Number of instances to launch initially.
    
    Returns:
    
    Number of instances to launch initially.
  - withInitialInstanceCount
```
public ProductionVariant withInitialInstanceCount(Integer initialInstanceCount)
```
    Number of instances to launch initially.
    
    Parameters:
    
    initialInstanceCount - Number of instances to launch initially.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setInstanceType
```
public void setInstanceType(String instanceType)
```
    The ML compute instance type.
    
    Parameters:
    
    instanceType - The ML compute instance type.
    
    See Also:
    
    ProductionVariantInstanceType
  - getInstanceType
```
public String getInstanceType()
```
    The ML compute instance type.
    
    Returns:
    
    The ML compute instance type.
    
    See Also:
    
    ProductionVariantInstanceType
  - withInstanceType
```
public ProductionVariant withInstanceType(String instanceType)
```
    The ML compute instance type.
    
    Parameters:
    
    instanceType - The ML compute instance type.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ProductionVariantInstanceType
  - withInstanceType
```
public ProductionVariant withInstanceType(ProductionVariantInstanceType instanceType)
```
    The ML compute instance type.
    
    Parameters:
    
    instanceType - The ML compute instance type.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ProductionVariantInstanceType
  - setInitialVariantWeight
```
public void setInitialVariantWeight(Float initialVariantWeight)
```
    Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. The traffic to a production variant is determined by the ratio of the VariantWeight to the sum of all VariantWeight values across all ProductionVariants. If unspecified, it defaults to 1.0.
    
    Parameters:
    
    initialVariantWeight - Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. The traffic to a production variant is determined by the ratio of the VariantWeight to the sum of all VariantWeight values across all ProductionVariants. If unspecified, it defaults to 1.0.
  - getInitialVariantWeight
```
public Float getInitialVariantWeight()
```
    Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. The traffic to a production variant is determined by the ratio of the VariantWeight to the sum of all VariantWeight values across all ProductionVariants. If unspecified, it defaults to 1.0.
    
    Returns:
    
    Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. The traffic to a production variant is determined by the ratio of the VariantWeight to the sum of all VariantWeight values across all ProductionVariants. If unspecified, it defaults to 1.0.
  - withInitialVariantWeight
```
public ProductionVariant withInitialVariantWeight(Float initialVariantWeight)
```
    Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. The traffic to a production variant is determined by the ratio of the VariantWeight to the sum of all VariantWeight values across all ProductionVariants. If unspecified, it defaults to 1.0.
    
    Parameters:
    
    initialVariantWeight - Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. The traffic to a production variant is determined by the ratio of the VariantWeight to the sum of all VariantWeight values across all ProductionVariants. If unspecified, it defaults to 1.0.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setAcceleratorType
```
public void setAcceleratorType(String acceleratorType)
```
    The size of the Elastic Inference (EI) instance to use for the production variant. EI instances provide on-demand GPU computing for inference. For more information, see Using Elastic Inference in Amazon SageMaker.
    
    Parameters:
    
    acceleratorType - The size of the Elastic Inference (EI) instance to use for the production variant. EI instances provide on-demand GPU computing for inference. For more information, see Using Elastic Inference in Amazon SageMaker.
    
    See Also:
    
    ProductionVariantAcceleratorType
  - getAcceleratorType
```
public String getAcceleratorType()
```
    The size of the Elastic Inference (EI) instance to use for the production variant. EI instances provide on-demand GPU computing for inference. For more information, see Using Elastic Inference in Amazon SageMaker.
    
    Returns:
    
    The size of the Elastic Inference (EI) instance to use for the production variant. EI instances provide on-demand GPU computing for inference. For more information, see Using Elastic Inference in Amazon SageMaker.
    
    See Also:
    
    ProductionVariantAcceleratorType
  - withAcceleratorType
```
public ProductionVariant withAcceleratorType(String acceleratorType)
```
    The size of the Elastic Inference (EI) instance to use for the production variant. EI instances provide on-demand GPU computing for inference. For more information, see Using Elastic Inference in Amazon SageMaker.
    
    Parameters:
    
    acceleratorType - The size of the Elastic Inference (EI) instance to use for the production variant. EI instances provide on-demand GPU computing for inference. For more information, see Using Elastic Inference in Amazon SageMaker.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ProductionVariantAcceleratorType
  - withAcceleratorType
```
public ProductionVariant withAcceleratorType(ProductionVariantAcceleratorType acceleratorType)
```
    The size of the Elastic Inference (EI) instance to use for the production variant. EI instances provide on-demand GPU computing for inference. For more information, see Using Elastic Inference in Amazon SageMaker.
    
    Parameters:
    
    acceleratorType - The size of the Elastic Inference (EI) instance to use for the production variant. EI instances provide on-demand GPU computing for inference. For more information, see Using Elastic Inference in Amazon SageMaker.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ProductionVariantAcceleratorType
  - setCoreDumpConfig
```
public void setCoreDumpConfig(ProductionVariantCoreDumpConfig coreDumpConfig)
```
    Specifies configuration for a core dump from the model container when the process crashes.
    
    Parameters:
    
    coreDumpConfig - Specifies configuration for a core dump from the model container when the process crashes.
  - getCoreDumpConfig
```
public ProductionVariantCoreDumpConfig getCoreDumpConfig()
```
    Specifies configuration for a core dump from the model container when the process crashes.
    
    Returns:
    
    Specifies configuration for a core dump from the model container when the process crashes.
  - withCoreDumpConfig
```
public ProductionVariant withCoreDumpConfig(ProductionVariantCoreDumpConfig coreDumpConfig)
```
    Specifies configuration for a core dump from the model container when the process crashes.
    
    Parameters:
    
    coreDumpConfig - Specifies configuration for a core dump from the model container when the process crashes.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setServerlessConfig
```
public void setServerlessConfig(ProductionVariantServerlessConfig serverlessConfig)
```
    The serverless configuration for an endpoint. Specifies a serverless endpoint configuration instead of an instance-based endpoint configuration.
    
    Parameters:
    
    serverlessConfig - The serverless configuration for an endpoint. Specifies a serverless endpoint configuration instead of an instance-based endpoint configuration.
  - getServerlessConfig
```
public ProductionVariantServerlessConfig getServerlessConfig()
```
    The serverless configuration for an endpoint. Specifies a serverless endpoint configuration instead of an instance-based endpoint configuration.
    
    Returns:
    
    The serverless configuration for an endpoint. Specifies a serverless endpoint configuration instead of an instance-based endpoint configuration.
  - withServerlessConfig
```
public ProductionVariant withServerlessConfig(ProductionVariantServerlessConfig serverlessConfig)
```
    The serverless configuration for an endpoint. Specifies a serverless endpoint configuration instead of an instance-based endpoint configuration.
    
    Parameters:
    
    serverlessConfig - The serverless configuration for an endpoint. Specifies a serverless endpoint configuration instead of an instance-based endpoint configuration.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setVolumeSizeInGB
```
public void setVolumeSizeInGB(Integer volumeSizeInGB)
```
    The size, in GB, of the ML storage volume attached to individual inference instance associated with the production variant. Currently only Amazon EBS gp2 storage volumes are supported.
    
    Parameters:
    
    volumeSizeInGB - The size, in GB, of the ML storage volume attached to individual inference instance associated with the production variant. Currently only Amazon EBS gp2 storage volumes are supported.
  - getVolumeSizeInGB
```
public Integer getVolumeSizeInGB()
```
    The size, in GB, of the ML storage volume attached to individual inference instance associated with the production variant. Currently only Amazon EBS gp2 storage volumes are supported.
    
    Returns:
    
    The size, in GB, of the ML storage volume attached to individual inference instance associated with the production variant. Currently only Amazon EBS gp2 storage volumes are supported.
  - withVolumeSizeInGB
```
public ProductionVariant withVolumeSizeInGB(Integer volumeSizeInGB)
```
    The size, in GB, of the ML storage volume attached to individual inference instance associated with the production variant. Currently only Amazon EBS gp2 storage volumes are supported.
    
    Parameters:
    
    volumeSizeInGB - The size, in GB, of the ML storage volume attached to individual inference instance associated with the production variant. Currently only Amazon EBS gp2 storage volumes are supported.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setModelDataDownloadTimeoutInSeconds
```
public void setModelDataDownloadTimeoutInSeconds(Integer modelDataDownloadTimeoutInSeconds)
```
    The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the individual inference instance associated with this production variant.
    
    Parameters:
    
    modelDataDownloadTimeoutInSeconds - The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the individual inference instance associated with this production variant.
  - getModelDataDownloadTimeoutInSeconds
```
public Integer getModelDataDownloadTimeoutInSeconds()
```
    The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the individual inference instance associated with this production variant.
    
    Returns:
    
    The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the individual inference instance associated with this production variant.
  - withModelDataDownloadTimeoutInSeconds
```
public ProductionVariant withModelDataDownloadTimeoutInSeconds(Integer modelDataDownloadTimeoutInSeconds)
```
    The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the individual inference instance associated with this production variant.
    
    Parameters:
    
    modelDataDownloadTimeoutInSeconds - The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the individual inference instance associated with this production variant.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setContainerStartupHealthCheckTimeoutInSeconds
```
public void setContainerStartupHealthCheckTimeoutInSeconds(Integer containerStartupHealthCheckTimeoutInSeconds)
```
    The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting. For more information about health check, see How Your Container Should Respond to Health Check (Ping) Requests.
    
    Parameters:
    
    containerStartupHealthCheckTimeoutInSeconds - The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting. For more information about health check, see How Your Container Should Respond to Health Check (Ping) Requests.
  - getContainerStartupHealthCheckTimeoutInSeconds
```
public Integer getContainerStartupHealthCheckTimeoutInSeconds()
```
    The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting. For more information about health check, see How Your Container Should Respond to Health Check (Ping) Requests.
    
    Returns:
    
    The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting. For more information about health check, see How Your Container Should Respond to Health Check (Ping) Requests.
  - withContainerStartupHealthCheckTimeoutInSeconds
```
public ProductionVariant withContainerStartupHealthCheckTimeoutInSeconds(Integer containerStartupHealthCheckTimeoutInSeconds)
```
    The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting. For more information about health check, see How Your Container Should Respond to Health Check (Ping) Requests.
    
    Parameters:
    
    containerStartupHealthCheckTimeoutInSeconds - The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting. For more information about health check, see How Your Container Should Respond to Health Check (Ping) Requests.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setEnableSSMAccess
```
public void setEnableSSMAccess(Boolean enableSSMAccess)
```
    You can use this parameter to turn on native Amazon Web Services Systems Manager (SSM) access for a production variant behind an endpoint. By default, SSM access is disabled for all production variants behind an endpoint. You can turn on or turn off SSM access for a production variant behind an existing endpoint by creating a new endpoint configuration and calling UpdateEndpoint.
    
    Parameters:
    
    enableSSMAccess - You can use this parameter to turn on native Amazon Web Services Systems Manager (SSM) access for a production variant behind an endpoint. By default, SSM access is disabled for all production variants behind an endpoint. You can turn on or turn off SSM access for a production variant behind an existing endpoint by creating a new endpoint configuration and calling UpdateEndpoint.
  - getEnableSSMAccess
```
public Boolean getEnableSSMAccess()
```
    You can use this parameter to turn on native Amazon Web Services Systems Manager (SSM) access for a production variant behind an endpoint. By default, SSM access is disabled for all production variants behind an endpoint. You can turn on or turn off SSM access for a production variant behind an existing endpoint by creating a new endpoint configuration and calling UpdateEndpoint.
    
    Returns:
    
    You can use this parameter to turn on native Amazon Web Services Systems Manager (SSM) access for a production variant behind an endpoint. By default, SSM access is disabled for all production variants behind an endpoint. You can turn on or turn off SSM access for a production variant behind an existing endpoint by creating a new endpoint configuration and calling UpdateEndpoint.
  - withEnableSSMAccess
```
public ProductionVariant withEnableSSMAccess(Boolean enableSSMAccess)
```
    You can use this parameter to turn on native Amazon Web Services Systems Manager (SSM) access for a production variant behind an endpoint. By default, SSM access is disabled for all production variants behind an endpoint. You can turn on or turn off SSM access for a production variant behind an existing endpoint by creating a new endpoint configuration and calling UpdateEndpoint.
    
    Parameters:
    
    enableSSMAccess - You can use this parameter to turn on native Amazon Web Services Systems Manager (SSM) access for a production variant behind an endpoint. By default, SSM access is disabled for all production variants behind an endpoint. You can turn on or turn off SSM access for a production variant behind an existing endpoint by creating a new endpoint configuration and calling UpdateEndpoint.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - isEnableSSMAccess
```
public Boolean isEnableSSMAccess()
```
    You can use this parameter to turn on native Amazon Web Services Systems Manager (SSM) access for a production variant behind an endpoint. By default, SSM access is disabled for all production variants behind an endpoint. You can turn on or turn off SSM access for a production variant behind an existing endpoint by creating a new endpoint configuration and calling UpdateEndpoint.
    
    Returns:
    
    You can use this parameter to turn on native Amazon Web Services Systems Manager (SSM) access for a production variant behind an endpoint. By default, SSM access is disabled for all production variants behind an endpoint. You can turn on or turn off SSM access for a production variant behind an existing endpoint by creating a new endpoint configuration and calling UpdateEndpoint.
  - setManagedInstanceScaling
```
public void setManagedInstanceScaling(ProductionVariantManagedInstanceScaling managedInstanceScaling)
```
    Settings that control the range in the number of instances that the endpoint provisions as it scales up or down to accommodate traffic.
    
    Parameters:
    
    managedInstanceScaling - Settings that control the range in the number of instances that the endpoint provisions as it scales up or down to accommodate traffic.
  - getManagedInstanceScaling
```
public ProductionVariantManagedInstanceScaling getManagedInstanceScaling()
```
    Settings that control the range in the number of instances that the endpoint provisions as it scales up or down to accommodate traffic.
    
    Returns:
    
    Settings that control the range in the number of instances that the endpoint provisions as it scales up or down to accommodate traffic.
  - withManagedInstanceScaling
```
public ProductionVariant withManagedInstanceScaling(ProductionVariantManagedInstanceScaling managedInstanceScaling)
```
    Settings that control the range in the number of instances that the endpoint provisions as it scales up or down to accommodate traffic.
    
    Parameters:
    
    managedInstanceScaling - Settings that control the range in the number of instances that the endpoint provisions as it scales up or down to accommodate traffic.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setRoutingConfig
```
public void setRoutingConfig(ProductionVariantRoutingConfig routingConfig)
```
    Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.
    
    Parameters:
    
    routingConfig - Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.
  - getRoutingConfig
```
public ProductionVariantRoutingConfig getRoutingConfig()
```
    Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.
    
    Returns:
    
    Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.
  - withRoutingConfig
```
public ProductionVariant withRoutingConfig(ProductionVariantRoutingConfig routingConfig)
```
    Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.
    
    Parameters:
    
    routingConfig - Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setInferenceAmiVersion
```
public void setInferenceAmiVersion(String inferenceAmiVersion)
```
    Specifies an option from a collection of preconfigured Amazon Machine Image (AMI) images. Each image is configured by Amazon Web Services with a set of software and driver versions. Amazon Web Services optimizes these configurations for different machine learning workloads.
    
    By selecting an AMI version, you can ensure that your inference environment is compatible with specific software requirements, such as CUDA driver versions, Linux kernel versions, or Amazon Web Services Neuron driver versions.
    
    Parameters:
    
    inferenceAmiVersion - Specifies an option from a collection of preconfigured Amazon Machine Image (AMI) images. Each image is configured by Amazon Web Services with a set of software and driver versions. Amazon Web Services optimizes these configurations for different machine learning workloads.
    
    By selecting an AMI version, you can ensure that your inference environment is compatible with specific software requirements, such as CUDA driver versions, Linux kernel versions, or Amazon Web Services Neuron driver versions.
    
    See Also:
    
    ProductionVariantInferenceAmiVersion
  - getInferenceAmiVersion
```
public String getInferenceAmiVersion()
```
    Specifies an option from a collection of preconfigured Amazon Machine Image (AMI) images. Each image is configured by Amazon Web Services with a set of software and driver versions. Amazon Web Services optimizes these configurations for different machine learning workloads.
    
    By selecting an AMI version, you can ensure that your inference environment is compatible with specific software requirements, such as CUDA driver versions, Linux kernel versions, or Amazon Web Services Neuron driver versions.
    
    Returns:
    
    Specifies an option from a collection of preconfigured Amazon Machine Image (AMI) images. Each image is configured by Amazon Web Services with a set of software and driver versions. Amazon Web Services optimizes these configurations for different machine learning workloads.
    
    By selecting an AMI version, you can ensure that your inference environment is compatible with specific software requirements, such as CUDA driver versions, Linux kernel versions, or Amazon Web Services Neuron driver versions.
    
    See Also:
    
    ProductionVariantInferenceAmiVersion
  - withInferenceAmiVersion
```
public ProductionVariant withInferenceAmiVersion(String inferenceAmiVersion)
```
    Specifies an option from a collection of preconfigured Amazon Machine Image (AMI) images. Each image is configured by Amazon Web Services with a set of software and driver versions. Amazon Web Services optimizes these configurations for different machine learning workloads.
    
    By selecting an AMI version, you can ensure that your inference environment is compatible with specific software requirements, such as CUDA driver versions, Linux kernel versions, or Amazon Web Services Neuron driver versions.
    
    Parameters:
    
    inferenceAmiVersion - Specifies an option from a collection of preconfigured Amazon Machine Image (AMI) images. Each image is configured by Amazon Web Services with a set of software and driver versions. Amazon Web Services optimizes these configurations for different machine learning workloads.
    
    By selecting an AMI version, you can ensure that your inference environment is compatible with specific software requirements, such as CUDA driver versions, Linux kernel versions, or Amazon Web Services Neuron driver versions.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ProductionVariantInferenceAmiVersion
  - withInferenceAmiVersion
```
public ProductionVariant withInferenceAmiVersion(ProductionVariantInferenceAmiVersion inferenceAmiVersion)
```
    Specifies an option from a collection of preconfigured Amazon Machine Image (AMI) images. Each image is configured by Amazon Web Services with a set of software and driver versions. Amazon Web Services optimizes these configurations for different machine learning workloads.
    
    By selecting an AMI version, you can ensure that your inference environment is compatible with specific software requirements, such as CUDA driver versions, Linux kernel versions, or Amazon Web Services Neuron driver versions.
    
    Parameters:
    
    inferenceAmiVersion - Specifies an option from a collection of preconfigured Amazon Machine Image (AMI) images. Each image is configured by Amazon Web Services with a set of software and driver versions. Amazon Web Services optimizes these configurations for different machine learning workloads.
    
    By selecting an AMI version, you can ensure that your inference environment is compatible with specific software requirements, such as CUDA driver versions, Linux kernel versions, or Amazon Web Services Neuron driver versions.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ProductionVariantInferenceAmiVersion
  - 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 ProductionVariant clone()
```
    Overrides:
    
    clone in class Object
  - marshall
```
public void marshall(ProtocolMarshaller protocolMarshaller)
```
    Specified by:
    
    marshall in interface StructuredPojo

Class ProductionVariant

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

ProductionVariant

Method Detail

setVariantName

getVariantName

withVariantName

setModelName

getModelName

withModelName

setInitialInstanceCount

getInitialInstanceCount

withInitialInstanceCount

setInstanceType

getInstanceType

withInstanceType

withInstanceType

setInitialVariantWeight

getInitialVariantWeight

withInitialVariantWeight

setAcceleratorType

getAcceleratorType

withAcceleratorType

withAcceleratorType

setCoreDumpConfig

getCoreDumpConfig

withCoreDumpConfig

setServerlessConfig

getServerlessConfig

withServerlessConfig

setVolumeSizeInGB

getVolumeSizeInGB

withVolumeSizeInGB

setModelDataDownloadTimeoutInSeconds

getModelDataDownloadTimeoutInSeconds

withModelDataDownloadTimeoutInSeconds

setContainerStartupHealthCheckTimeoutInSeconds

getContainerStartupHealthCheckTimeoutInSeconds

withContainerStartupHealthCheckTimeoutInSeconds

setEnableSSMAccess

getEnableSSMAccess

withEnableSSMAccess

isEnableSSMAccess

setManagedInstanceScaling

getManagedInstanceScaling

withManagedInstanceScaling

setRoutingConfig

getRoutingConfig

withRoutingConfig

setInferenceAmiVersion

getInferenceAmiVersion

withInferenceAmiVersion

withInferenceAmiVersion

toString

equals

hashCode

clone

marshall