com.amazonaws.services.sagemaker.model

Class ProductionVariant

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.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors

Constructor and Description
ProductionVariant()

Method Summary

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.
ProductionVariantCoreDumpConfig	getCoreDumpConfig() Specifies configuration for a core dump from the model container when the process crashes.
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.
ProductionVariantServerlessConfig	getServerlessConfig() The serverless configuration for an endpoint.
String	getVariantName() The name of the production variant.
int	hashCode()
void	marshall(ProtocolMarshaller protocolMarshaller)
void	setAcceleratorType(String acceleratorType) The size of the Elastic Inference (EI) instance to use for the production variant.
void	setCoreDumpConfig(ProductionVariantCoreDumpConfig coreDumpConfig) Specifies configuration for a core dump from the model container when the process crashes.
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	setServerlessConfig(ProductionVariantServerlessConfig serverlessConfig) The serverless configuration for an endpoint.
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	withCoreDumpConfig(ProductionVariantCoreDumpConfig coreDumpConfig) Specifies configuration for a core dump from the model container when the process crashes.
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	withServerlessConfig(ProductionVariantServerlessConfig serverlessConfig) The serverless configuration for an endpoint.
ProductionVariant	withVariantName(String variantName) The name of 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.

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