InferenceComponentSpecification (AWS SDK for Java

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

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable
```
@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class InferenceComponentSpecification
extends Object
implements Serializable, Cloneable, StructuredPojo
```
Details about the resources to deploy with this inference component, including the model, container, and compute resources.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

InferenceComponentSpecification()

Constructors
Constructor and Description
`InferenceComponentSpecification()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`InferenceComponentSpecification`	`clone()`
`boolean`	`equals(Object obj)`
`InferenceComponentComputeResourceRequirements`	`getComputeResourceRequirements()` The compute resources allocated to run the model assigned to the inference component.
`InferenceComponentContainerSpecification`	`getContainer()` Defines a container that provides the runtime environment for a model that you deploy with an inference component.
`String`	`getModelName()` The name of an existing SageMaker model object in your account that you want to deploy with the inference component.
`InferenceComponentStartupParameters`	`getStartupParameters()` Settings that take effect while the model container starts up.
`int`	`hashCode()`
`void`	`marshall(ProtocolMarshaller protocolMarshaller)` Marshalls this structured data using the given `ProtocolMarshaller`.
`void`	`setComputeResourceRequirements(InferenceComponentComputeResourceRequirements computeResourceRequirements)` The compute resources allocated to run the model assigned to the inference component.
`void`	`setContainer(InferenceComponentContainerSpecification container)` Defines a container that provides the runtime environment for a model that you deploy with an inference component.
`void`	`setModelName(String modelName)` The name of an existing SageMaker model object in your account that you want to deploy with the inference component.
`void`	`setStartupParameters(InferenceComponentStartupParameters startupParameters)` Settings that take effect while the model container starts up.
`String`	`toString()` Returns a string representation of this object.
`InferenceComponentSpecification`	`withComputeResourceRequirements(InferenceComponentComputeResourceRequirements computeResourceRequirements)` The compute resources allocated to run the model assigned to the inference component.
`InferenceComponentSpecification`	`withContainer(InferenceComponentContainerSpecification container)` Defines a container that provides the runtime environment for a model that you deploy with an inference component.
`InferenceComponentSpecification`	`withModelName(String modelName)` The name of an existing SageMaker model object in your account that you want to deploy with the inference component.
`InferenceComponentSpecification`	`withStartupParameters(InferenceComponentStartupParameters startupParameters)` Settings that take effect while the model container starts up.

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

- Constructor Detail
  - InferenceComponentSpecification
```
public InferenceComponentSpecification()
```
- Method Detail
  - setModelName
```
public void setModelName(String modelName)
```
    The name of an existing SageMaker model object in your account that you want to deploy with the inference component.
    
    Parameters:
    
    modelName - The name of an existing SageMaker model object in your account that you want to deploy with the inference component.
  - getModelName
```
public String getModelName()
```
    The name of an existing SageMaker model object in your account that you want to deploy with the inference component.
    
    Returns:
    
    The name of an existing SageMaker model object in your account that you want to deploy with the inference component.
  - withModelName
```
public InferenceComponentSpecification withModelName(String modelName)
```
    The name of an existing SageMaker model object in your account that you want to deploy with the inference component.
    
    Parameters:
    
    modelName - The name of an existing SageMaker model object in your account that you want to deploy with the inference component.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setContainer
```
public void setContainer(InferenceComponentContainerSpecification container)
```
    Defines a container that provides the runtime environment for a model that you deploy with an inference component.
    
    Parameters:
    
    container - Defines a container that provides the runtime environment for a model that you deploy with an inference component.
  - getContainer
```
public InferenceComponentContainerSpecification getContainer()
```
    Defines a container that provides the runtime environment for a model that you deploy with an inference component.
    
    Returns:
    
    Defines a container that provides the runtime environment for a model that you deploy with an inference component.
  - withContainer
```
public InferenceComponentSpecification withContainer(InferenceComponentContainerSpecification container)
```
    Defines a container that provides the runtime environment for a model that you deploy with an inference component.
    
    Parameters:
    
    container - Defines a container that provides the runtime environment for a model that you deploy with an inference component.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setStartupParameters
```
public void setStartupParameters(InferenceComponentStartupParameters startupParameters)
```
    Settings that take effect while the model container starts up.
    
    Parameters:
    
    startupParameters - Settings that take effect while the model container starts up.
  - getStartupParameters
```
public InferenceComponentStartupParameters getStartupParameters()
```
    Settings that take effect while the model container starts up.
    
    Returns:
    
    Settings that take effect while the model container starts up.
  - withStartupParameters
```
public InferenceComponentSpecification withStartupParameters(InferenceComponentStartupParameters startupParameters)
```
    Settings that take effect while the model container starts up.
    
    Parameters:
    
    startupParameters - Settings that take effect while the model container starts up.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setComputeResourceRequirements
```
public void setComputeResourceRequirements(InferenceComponentComputeResourceRequirements computeResourceRequirements)
```
    The compute resources allocated to run the model assigned to the inference component.
    
    Parameters:
    
    computeResourceRequirements - The compute resources allocated to run the model assigned to the inference component.
  - getComputeResourceRequirements
```
public InferenceComponentComputeResourceRequirements getComputeResourceRequirements()
```
    The compute resources allocated to run the model assigned to the inference component.
    
    Returns:
    
    The compute resources allocated to run the model assigned to the inference component.
  - withComputeResourceRequirements
```
public InferenceComponentSpecification withComputeResourceRequirements(InferenceComponentComputeResourceRequirements computeResourceRequirements)
```
    The compute resources allocated to run the model assigned to the inference component.
    
    Parameters:
    
    computeResourceRequirements - The compute resources allocated to run the model assigned to the inference component.
    
    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 InferenceComponentSpecification 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.

AWS SDK for Java 1.x API Reference - 1.12.771

Class InferenceComponentSpecification

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

InferenceComponentSpecification

Method Detail

setModelName

getModelName

withModelName

setContainer

getContainer

withContainer

setStartupParameters

getStartupParameters

withStartupParameters

setComputeResourceRequirements

getComputeResourceRequirements

withComputeResourceRequirements

toString

equals

hashCode

clone

marshall