com.amazonaws.services.sagemaker.model

Class GetScalingConfigurationRecommendationRequest

java.lang.Object

com.amazonaws.AmazonWebServiceRequest

com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationRequest

All Implemented Interfaces:

HandlerContextAware, ReadLimitInfo, Serializable, Cloneable

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

See Also:

AWS API Documentation, Serialized Form

Field Summary

Fields inherited from class com.amazonaws.AmazonWebServiceRequest

NOOP

Constructor Summary

Constructors

Constructor and Description
GetScalingConfigurationRecommendationRequest()

Method Summary

Modifier and Type	Method and Description
GetScalingConfigurationRecommendationRequest	clone() Creates a shallow clone of this object for all fields except the handler context.
boolean	equals(Object obj)
String	getEndpointName() The name of an endpoint benchmarked during a previously completed inference recommendation job.
String	getInferenceRecommendationsJobName() The name of a previously completed Inference Recommender job.
String	getRecommendationId() The recommendation ID of a previously completed inference recommendation.
ScalingPolicyObjective	getScalingPolicyObjective() An object where you specify the anticipated traffic pattern for an endpoint.
Integer	getTargetCpuUtilizationPerCore() The percentage of how much utilization you want an instance to use before autoscaling.
int	hashCode()
void	setEndpointName(String endpointName) The name of an endpoint benchmarked during a previously completed inference recommendation job.
void	setInferenceRecommendationsJobName(String inferenceRecommendationsJobName) The name of a previously completed Inference Recommender job.
void	setRecommendationId(String recommendationId) The recommendation ID of a previously completed inference recommendation.
void	setScalingPolicyObjective(ScalingPolicyObjective scalingPolicyObjective) An object where you specify the anticipated traffic pattern for an endpoint.
void	setTargetCpuUtilizationPerCore(Integer targetCpuUtilizationPerCore) The percentage of how much utilization you want an instance to use before autoscaling.
String	toString() Returns a string representation of this object.
GetScalingConfigurationRecommendationRequest	withEndpointName(String endpointName) The name of an endpoint benchmarked during a previously completed inference recommendation job.
GetScalingConfigurationRecommendationRequest	withInferenceRecommendationsJobName(String inferenceRecommendationsJobName) The name of a previously completed Inference Recommender job.
GetScalingConfigurationRecommendationRequest	withRecommendationId(String recommendationId) The recommendation ID of a previously completed inference recommendation.
GetScalingConfigurationRecommendationRequest	withScalingPolicyObjective(ScalingPolicyObjective scalingPolicyObjective) An object where you specify the anticipated traffic pattern for an endpoint.
GetScalingConfigurationRecommendationRequest	withTargetCpuUtilizationPerCore(Integer targetCpuUtilizationPerCore) The percentage of how much utilization you want an instance to use before autoscaling.

Methods inherited from class com.amazonaws.AmazonWebServiceRequest

addHandlerContext, getCloneRoot, getCloneSource, getCustomQueryParameters, getCustomRequestHeaders, getGeneralProgressListener, getHandlerContext, getReadLimit, getRequestClientOptions, getRequestCredentials, getRequestCredentialsProvider, getRequestMetricCollector, getSdkClientExecutionTimeout, getSdkRequestTimeout, putCustomQueryParameter, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestCredentialsProvider, setRequestMetricCollector, setSdkClientExecutionTimeout, setSdkRequestTimeout, withGeneralProgressListener, withRequestCredentialsProvider, withRequestMetricCollector, withSdkClientExecutionTimeout, withSdkRequestTimeout

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

GetScalingConfigurationRecommendationRequest

public GetScalingConfigurationRecommendationRequest()

Method Detail

setInferenceRecommendationsJobName

public void setInferenceRecommendationsJobName(String inferenceRecommendationsJobName)

The name of a previously completed Inference Recommender job.

Parameters:

inferenceRecommendationsJobName - The name of a previously completed Inference Recommender job.

getInferenceRecommendationsJobName

public String getInferenceRecommendationsJobName()

The name of a previously completed Inference Recommender job.

Returns:

The name of a previously completed Inference Recommender job.

withInferenceRecommendationsJobName

public GetScalingConfigurationRecommendationRequest withInferenceRecommendationsJobName(String inferenceRecommendationsJobName)

The name of a previously completed Inference Recommender job.

Parameters:

inferenceRecommendationsJobName - The name of a previously completed Inference Recommender job.

Returns:

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

setRecommendationId

public void setRecommendationId(String recommendationId)

The recommendation ID of a previously completed inference recommendation. This ID should come from one of the recommendations returned by the job specified in the InferenceRecommendationsJobName field.

Specify either this field or the EndpointName field.

Parameters:

recommendationId - The recommendation ID of a previously completed inference recommendation. This ID should come from one of the recommendations returned by the job specified in the InferenceRecommendationsJobName field.

Specify either this field or the EndpointName field.

getRecommendationId

public String getRecommendationId()

The recommendation ID of a previously completed inference recommendation. This ID should come from one of the recommendations returned by the job specified in the InferenceRecommendationsJobName field.

Specify either this field or the EndpointName field.

Returns:

The recommendation ID of a previously completed inference recommendation. This ID should come from one of the recommendations returned by the job specified in the InferenceRecommendationsJobName field.

Specify either this field or the EndpointName field.

withRecommendationId

public GetScalingConfigurationRecommendationRequest withRecommendationId(String recommendationId)

The recommendation ID of a previously completed inference recommendation. This ID should come from one of the recommendations returned by the job specified in the InferenceRecommendationsJobName field.

Specify either this field or the EndpointName field.

Parameters:

recommendationId - The recommendation ID of a previously completed inference recommendation. This ID should come from one of the recommendations returned by the job specified in the InferenceRecommendationsJobName field.

Specify either this field or the EndpointName field.

Returns:

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

setEndpointName

public void setEndpointName(String endpointName)

The name of an endpoint benchmarked during a previously completed inference recommendation job. This name should come from one of the recommendations returned by the job specified in the InferenceRecommendationsJobName field.

Specify either this field or the RecommendationId field.

Parameters:

endpointName - The name of an endpoint benchmarked during a previously completed inference recommendation job. This name should come from one of the recommendations returned by the job specified in the InferenceRecommendationsJobName field.

Specify either this field or the RecommendationId field.

getEndpointName

public String getEndpointName()

The name of an endpoint benchmarked during a previously completed inference recommendation job. This name should come from one of the recommendations returned by the job specified in the InferenceRecommendationsJobName field.

Specify either this field or the RecommendationId field.

Returns:

The name of an endpoint benchmarked during a previously completed inference recommendation job. This name should come from one of the recommendations returned by the job specified in the InferenceRecommendationsJobName field.

Specify either this field or the RecommendationId field.

withEndpointName

public GetScalingConfigurationRecommendationRequest withEndpointName(String endpointName)

The name of an endpoint benchmarked during a previously completed inference recommendation job. This name should come from one of the recommendations returned by the job specified in the InferenceRecommendationsJobName field.

Specify either this field or the RecommendationId field.

Parameters:

endpointName - The name of an endpoint benchmarked during a previously completed inference recommendation job. This name should come from one of the recommendations returned by the job specified in the InferenceRecommendationsJobName field.

Specify either this field or the RecommendationId field.

Returns:

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

setTargetCpuUtilizationPerCore

public void setTargetCpuUtilizationPerCore(Integer targetCpuUtilizationPerCore)

The percentage of how much utilization you want an instance to use before autoscaling. The default value is 50%.

Parameters:

targetCpuUtilizationPerCore - The percentage of how much utilization you want an instance to use before autoscaling. The default value is 50%.

getTargetCpuUtilizationPerCore

public Integer getTargetCpuUtilizationPerCore()

The percentage of how much utilization you want an instance to use before autoscaling. The default value is 50%.

Returns:

The percentage of how much utilization you want an instance to use before autoscaling. The default value is 50%.

withTargetCpuUtilizationPerCore

public GetScalingConfigurationRecommendationRequest withTargetCpuUtilizationPerCore(Integer targetCpuUtilizationPerCore)

The percentage of how much utilization you want an instance to use before autoscaling. The default value is 50%.

Parameters:

targetCpuUtilizationPerCore - The percentage of how much utilization you want an instance to use before autoscaling. The default value is 50%.

Returns:

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

setScalingPolicyObjective

public void setScalingPolicyObjective(ScalingPolicyObjective scalingPolicyObjective)

An object where you specify the anticipated traffic pattern for an endpoint.

Parameters:

scalingPolicyObjective - An object where you specify the anticipated traffic pattern for an endpoint.

getScalingPolicyObjective

public ScalingPolicyObjective getScalingPolicyObjective()

An object where you specify the anticipated traffic pattern for an endpoint.

Returns:

An object where you specify the anticipated traffic pattern for an endpoint.

withScalingPolicyObjective

public GetScalingConfigurationRecommendationRequest withScalingPolicyObjective(ScalingPolicyObjective scalingPolicyObjective)

An object where you specify the anticipated traffic pattern for an endpoint.

Parameters:

scalingPolicyObjective - An object where you specify the anticipated traffic pattern for an endpoint.

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 GetScalingConfigurationRecommendationRequest clone()

Description copied from class: AmazonWebServiceRequest

Creates a shallow clone of this object for all fields except the handler context. Explicitly does not clone the deep structure of the other fields in the message.

Overrides:

clone in class AmazonWebServiceRequest

See Also:

Object.clone()