com.amazonaws.services.sagemaker.model

Class InferenceRecommendation

java.lang.Object

com.amazonaws.services.sagemaker.model.InferenceRecommendation

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class InferenceRecommendation
extends Object
implements Serializable, Cloneable, StructuredPojo

A list of recommendations made by Amazon SageMaker Inference Recommender.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors

Constructor and Description
InferenceRecommendation()

Method Summary

Modifier and Type	Method and Description
InferenceRecommendation	clone()
boolean	equals(Object obj)
EndpointOutputConfiguration	getEndpointConfiguration() Defines the endpoint configuration parameters.
RecommendationMetrics	getMetrics() The metrics used to decide what recommendation to make.
ModelConfiguration	getModelConfiguration() Defines the model configuration.
int	hashCode()
void	marshall(ProtocolMarshaller protocolMarshaller) Marshalls this structured data using the given ProtocolMarshaller.
void	setEndpointConfiguration(EndpointOutputConfiguration endpointConfiguration) Defines the endpoint configuration parameters.
void	setMetrics(RecommendationMetrics metrics) The metrics used to decide what recommendation to make.
void	setModelConfiguration(ModelConfiguration modelConfiguration) Defines the model configuration.
String	toString() Returns a string representation of this object.
InferenceRecommendation	withEndpointConfiguration(EndpointOutputConfiguration endpointConfiguration) Defines the endpoint configuration parameters.
InferenceRecommendation	withMetrics(RecommendationMetrics metrics) The metrics used to decide what recommendation to make.
InferenceRecommendation	withModelConfiguration(ModelConfiguration modelConfiguration) Defines the model configuration.

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

InferenceRecommendation

public InferenceRecommendation()

Method Detail

setMetrics

public void setMetrics(RecommendationMetrics metrics)

The metrics used to decide what recommendation to make.

Parameters:

metrics - The metrics used to decide what recommendation to make.

getMetrics

public RecommendationMetrics getMetrics()

The metrics used to decide what recommendation to make.

Returns:

The metrics used to decide what recommendation to make.

withMetrics

public InferenceRecommendation withMetrics(RecommendationMetrics metrics)

The metrics used to decide what recommendation to make.

Parameters:

metrics - The metrics used to decide what recommendation to make.

Returns:

Returns a reference to this object so that method calls can be chained together.

setEndpointConfiguration

public void setEndpointConfiguration(EndpointOutputConfiguration endpointConfiguration)

Defines the endpoint configuration parameters.

Parameters:

endpointConfiguration - Defines the endpoint configuration parameters.

getEndpointConfiguration

public EndpointOutputConfiguration getEndpointConfiguration()

Defines the endpoint configuration parameters.

Returns:

Defines the endpoint configuration parameters.

withEndpointConfiguration

public InferenceRecommendation withEndpointConfiguration(EndpointOutputConfiguration endpointConfiguration)

Defines the endpoint configuration parameters.

Parameters:

endpointConfiguration - Defines the endpoint configuration parameters.

Returns:

Returns a reference to this object so that method calls can be chained together.

setModelConfiguration

public void setModelConfiguration(ModelConfiguration modelConfiguration)

Defines the model configuration.

Parameters:

modelConfiguration - Defines the model configuration.

getModelConfiguration

public ModelConfiguration getModelConfiguration()

Defines the model configuration.

Returns:

Defines the model configuration.

withModelConfiguration

public InferenceRecommendation withModelConfiguration(ModelConfiguration modelConfiguration)

Defines the model configuration.

Parameters:

modelConfiguration - Defines the model 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 InferenceRecommendation 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.