com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationRequest Maven / Gradle / Ivy
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/*
* Copyright 2019-2024 Amazon.com, Inc. or its affiliates. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with
* the License. A copy of the License is located at
*
* http://aws.amazon.com/apache2.0
*
* or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
* CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions
* and limitations under the License.
*/
package com.amazonaws.services.sagemaker.model;
import java.io.Serializable;
import javax.annotation.Generated;
import com.amazonaws.AmazonWebServiceRequest;
/**
*
* @see AWS API Documentation
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class GetScalingConfigurationRecommendationRequest extends com.amazonaws.AmazonWebServiceRequest implements Serializable, Cloneable {
/**
*
* The name of a previously completed Inference Recommender job.
*
*/
private String inferenceRecommendationsJobName;
/**
*
* 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.
*
*/
private String recommendationId;
/**
*
* 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.
*
*/
private String endpointName;
/**
*
* The percentage of how much utilization you want an instance to use before autoscaling. The default value is 50%.
*
*/
private Integer targetCpuUtilizationPerCore;
/**
*
* An object where you specify the anticipated traffic pattern for an endpoint.
*
*/
private ScalingPolicyObjective scalingPolicyObjective;
/**
*
* The name of a previously completed Inference Recommender job.
*
*
* @param inferenceRecommendationsJobName
* The name of a previously completed Inference Recommender job.
*/
public void setInferenceRecommendationsJobName(String inferenceRecommendationsJobName) {
this.inferenceRecommendationsJobName = inferenceRecommendationsJobName;
}
/**
*
* The name of a previously completed Inference Recommender job.
*
*
* @return The name of a previously completed Inference Recommender job.
*/
public String getInferenceRecommendationsJobName() {
return this.inferenceRecommendationsJobName;
}
/**
*
* The name of a previously completed Inference Recommender job.
*
*
* @param inferenceRecommendationsJobName
* The name of a previously completed Inference Recommender job.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public GetScalingConfigurationRecommendationRequest withInferenceRecommendationsJobName(String inferenceRecommendationsJobName) {
setInferenceRecommendationsJobName(inferenceRecommendationsJobName);
return this;
}
/**
*
* 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.
*
*
* @param 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.
*/
public void setRecommendationId(String recommendationId) {
this.recommendationId = 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.
*
*
* @return 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.
*/
public String getRecommendationId() {
return this.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.
*
*
* @param 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.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public GetScalingConfigurationRecommendationRequest withRecommendationId(String recommendationId) {
setRecommendationId(recommendationId);
return this;
}
/**
*
* 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.
*
*
* @param 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.
*/
public void setEndpointName(String endpointName) {
this.endpointName = 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.
*
*
* @return 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.
*/
public String getEndpointName() {
return this.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.
*
*
* @param 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.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public GetScalingConfigurationRecommendationRequest withEndpointName(String endpointName) {
setEndpointName(endpointName);
return this;
}
/**
*
* The percentage of how much utilization you want an instance to use before autoscaling. The default value is 50%.
*
*
* @param targetCpuUtilizationPerCore
* The percentage of how much utilization you want an instance to use before autoscaling. The default value
* is 50%.
*/
public void setTargetCpuUtilizationPerCore(Integer targetCpuUtilizationPerCore) {
this.targetCpuUtilizationPerCore = targetCpuUtilizationPerCore;
}
/**
*
* The percentage of how much utilization you want an instance to use before autoscaling. The default value is 50%.
*
*
* @return The percentage of how much utilization you want an instance to use before autoscaling. The default value
* is 50%.
*/
public Integer getTargetCpuUtilizationPerCore() {
return this.targetCpuUtilizationPerCore;
}
/**
*
* The percentage of how much utilization you want an instance to use before autoscaling. The default value is 50%.
*
*
* @param targetCpuUtilizationPerCore
* The percentage of how much utilization you want an instance to use before autoscaling. The default value
* is 50%.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public GetScalingConfigurationRecommendationRequest withTargetCpuUtilizationPerCore(Integer targetCpuUtilizationPerCore) {
setTargetCpuUtilizationPerCore(targetCpuUtilizationPerCore);
return this;
}
/**
*
* An object where you specify the anticipated traffic pattern for an endpoint.
*
*
* @param scalingPolicyObjective
* An object where you specify the anticipated traffic pattern for an endpoint.
*/
public void setScalingPolicyObjective(ScalingPolicyObjective scalingPolicyObjective) {
this.scalingPolicyObjective = scalingPolicyObjective;
}
/**
*
* An object where you specify the anticipated traffic pattern for an endpoint.
*
*
* @return An object where you specify the anticipated traffic pattern for an endpoint.
*/
public ScalingPolicyObjective getScalingPolicyObjective() {
return this.scalingPolicyObjective;
}
/**
*
* An object where you specify the anticipated traffic pattern for an endpoint.
*
*
* @param scalingPolicyObjective
* An object where you specify the anticipated traffic pattern for an endpoint.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public GetScalingConfigurationRecommendationRequest withScalingPolicyObjective(ScalingPolicyObjective scalingPolicyObjective) {
setScalingPolicyObjective(scalingPolicyObjective);
return this;
}
/**
* 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.
*
* @return A string representation of this object.
*
* @see java.lang.Object#toString()
*/
@Override
public String toString() {
StringBuilder sb = new StringBuilder();
sb.append("{");
if (getInferenceRecommendationsJobName() != null)
sb.append("InferenceRecommendationsJobName: ").append(getInferenceRecommendationsJobName()).append(",");
if (getRecommendationId() != null)
sb.append("RecommendationId: ").append(getRecommendationId()).append(",");
if (getEndpointName() != null)
sb.append("EndpointName: ").append(getEndpointName()).append(",");
if (getTargetCpuUtilizationPerCore() != null)
sb.append("TargetCpuUtilizationPerCore: ").append(getTargetCpuUtilizationPerCore()).append(",");
if (getScalingPolicyObjective() != null)
sb.append("ScalingPolicyObjective: ").append(getScalingPolicyObjective());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof GetScalingConfigurationRecommendationRequest == false)
return false;
GetScalingConfigurationRecommendationRequest other = (GetScalingConfigurationRecommendationRequest) obj;
if (other.getInferenceRecommendationsJobName() == null ^ this.getInferenceRecommendationsJobName() == null)
return false;
if (other.getInferenceRecommendationsJobName() != null
&& other.getInferenceRecommendationsJobName().equals(this.getInferenceRecommendationsJobName()) == false)
return false;
if (other.getRecommendationId() == null ^ this.getRecommendationId() == null)
return false;
if (other.getRecommendationId() != null && other.getRecommendationId().equals(this.getRecommendationId()) == false)
return false;
if (other.getEndpointName() == null ^ this.getEndpointName() == null)
return false;
if (other.getEndpointName() != null && other.getEndpointName().equals(this.getEndpointName()) == false)
return false;
if (other.getTargetCpuUtilizationPerCore() == null ^ this.getTargetCpuUtilizationPerCore() == null)
return false;
if (other.getTargetCpuUtilizationPerCore() != null && other.getTargetCpuUtilizationPerCore().equals(this.getTargetCpuUtilizationPerCore()) == false)
return false;
if (other.getScalingPolicyObjective() == null ^ this.getScalingPolicyObjective() == null)
return false;
if (other.getScalingPolicyObjective() != null && other.getScalingPolicyObjective().equals(this.getScalingPolicyObjective()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getInferenceRecommendationsJobName() == null) ? 0 : getInferenceRecommendationsJobName().hashCode());
hashCode = prime * hashCode + ((getRecommendationId() == null) ? 0 : getRecommendationId().hashCode());
hashCode = prime * hashCode + ((getEndpointName() == null) ? 0 : getEndpointName().hashCode());
hashCode = prime * hashCode + ((getTargetCpuUtilizationPerCore() == null) ? 0 : getTargetCpuUtilizationPerCore().hashCode());
hashCode = prime * hashCode + ((getScalingPolicyObjective() == null) ? 0 : getScalingPolicyObjective().hashCode());
return hashCode;
}
@Override
public GetScalingConfigurationRecommendationRequest clone() {
return (GetScalingConfigurationRecommendationRequest) super.clone();
}
}