ProductionVariant (AWS SDK for Java

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 to deploy for hosting it. If you are deploying multiple models, tell Amazon SageMaker how to distribute traffic among the models by specifying variant weights.

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`	`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.
`String`	`getModelName()` The name of the model that you want to host.
`String`	`getVariantName()` The name of the production variant.
`int`	`hashCode()`
`void`	`marshall(ProtocolMarshaller protocolMarshaller)` Marshalls this structured data using the given `ProtocolMarshaller`.
`void`	`setAcceleratorType(String acceleratorType)` The size of the Elastic Inference (EI) instance to use for the production variant.
`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`	`setModelName(String modelName)` The name of the model that you want to host.
`void`	`setVariantName(String variantName)` The name of 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`	`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`	`withModelName(String modelName)` The name of the model that you want to host.
`ProductionVariant`	`withVariantName(String variantName)` The name of the production variant.

Methods inherited from class java.lang.Object
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
  - 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)
```
    Description copied from interface: StructuredPojo
    
    Marshalls this structured data using the given ProtocolMarshaller.
    
    Specified by:
    
    marshall in interface StructuredPojo
    
    Parameters:
    
    protocolMarshaller - Implementation of ProtocolMarshaller used to marshall this object's data.

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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

toString

equals

hashCode

clone

marshall