com.amazonaws.services.sagemaker.model.InferenceRecommendationsJobStep 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.protocol.StructuredPojo;
import com.amazonaws.protocol.ProtocolMarshaller;
/**
*
* A returned array object for the Steps response field in the ListInferenceRecommendationsJobSteps API command.
*
*
* @see AWS API Documentation
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class InferenceRecommendationsJobStep implements Serializable, Cloneable, StructuredPojo {
/**
*
* The type of the subtask.
*
*
* BENCHMARK: Evaluate the performance of your model on different instance types.
*
*/
private String stepType;
/**
*
* The name of the Inference Recommender job.
*
*/
private String jobName;
/**
*
* The current status of the benchmark.
*
*/
private String status;
/**
*
* The details for a specific benchmark.
*
*/
private RecommendationJobInferenceBenchmark inferenceBenchmark;
/**
*
* The type of the subtask.
*
*
* BENCHMARK: Evaluate the performance of your model on different instance types.
*
*
* @param stepType
* The type of the subtask.
*
* BENCHMARK: Evaluate the performance of your model on different instance types.
* @see RecommendationStepType
*/
public void setStepType(String stepType) {
this.stepType = stepType;
}
/**
*
* The type of the subtask.
*
*
* BENCHMARK: Evaluate the performance of your model on different instance types.
*
*
* @return The type of the subtask.
*
* BENCHMARK: Evaluate the performance of your model on different instance types.
* @see RecommendationStepType
*/
public String getStepType() {
return this.stepType;
}
/**
*
* The type of the subtask.
*
*
* BENCHMARK: Evaluate the performance of your model on different instance types.
*
*
* @param stepType
* The type of the subtask.
*
* BENCHMARK: Evaluate the performance of your model on different instance types.
* @return Returns a reference to this object so that method calls can be chained together.
* @see RecommendationStepType
*/
public InferenceRecommendationsJobStep withStepType(String stepType) {
setStepType(stepType);
return this;
}
/**
*
* The type of the subtask.
*
*
* BENCHMARK: Evaluate the performance of your model on different instance types.
*
*
* @param stepType
* The type of the subtask.
*
* BENCHMARK: Evaluate the performance of your model on different instance types.
* @return Returns a reference to this object so that method calls can be chained together.
* @see RecommendationStepType
*/
public InferenceRecommendationsJobStep withStepType(RecommendationStepType stepType) {
this.stepType = stepType.toString();
return this;
}
/**
*
* The name of the Inference Recommender job.
*
*
* @param jobName
* The name of the Inference Recommender job.
*/
public void setJobName(String jobName) {
this.jobName = jobName;
}
/**
*
* The name of the Inference Recommender job.
*
*
* @return The name of the Inference Recommender job.
*/
public String getJobName() {
return this.jobName;
}
/**
*
* The name of the Inference Recommender job.
*
*
* @param jobName
* The name of the Inference Recommender job.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public InferenceRecommendationsJobStep withJobName(String jobName) {
setJobName(jobName);
return this;
}
/**
*
* The current status of the benchmark.
*
*
* @param status
* The current status of the benchmark.
* @see RecommendationJobStatus
*/
public void setStatus(String status) {
this.status = status;
}
/**
*
* The current status of the benchmark.
*
*
* @return The current status of the benchmark.
* @see RecommendationJobStatus
*/
public String getStatus() {
return this.status;
}
/**
*
* The current status of the benchmark.
*
*
* @param status
* The current status of the benchmark.
* @return Returns a reference to this object so that method calls can be chained together.
* @see RecommendationJobStatus
*/
public InferenceRecommendationsJobStep withStatus(String status) {
setStatus(status);
return this;
}
/**
*
* The current status of the benchmark.
*
*
* @param status
* The current status of the benchmark.
* @return Returns a reference to this object so that method calls can be chained together.
* @see RecommendationJobStatus
*/
public InferenceRecommendationsJobStep withStatus(RecommendationJobStatus status) {
this.status = status.toString();
return this;
}
/**
*
* The details for a specific benchmark.
*
*
* @param inferenceBenchmark
* The details for a specific benchmark.
*/
public void setInferenceBenchmark(RecommendationJobInferenceBenchmark inferenceBenchmark) {
this.inferenceBenchmark = inferenceBenchmark;
}
/**
*
* The details for a specific benchmark.
*
*
* @return The details for a specific benchmark.
*/
public RecommendationJobInferenceBenchmark getInferenceBenchmark() {
return this.inferenceBenchmark;
}
/**
*
* The details for a specific benchmark.
*
*
* @param inferenceBenchmark
* The details for a specific benchmark.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public InferenceRecommendationsJobStep withInferenceBenchmark(RecommendationJobInferenceBenchmark inferenceBenchmark) {
setInferenceBenchmark(inferenceBenchmark);
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 (getStepType() != null)
sb.append("StepType: ").append(getStepType()).append(",");
if (getJobName() != null)
sb.append("JobName: ").append(getJobName()).append(",");
if (getStatus() != null)
sb.append("Status: ").append(getStatus()).append(",");
if (getInferenceBenchmark() != null)
sb.append("InferenceBenchmark: ").append(getInferenceBenchmark());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof InferenceRecommendationsJobStep == false)
return false;
InferenceRecommendationsJobStep other = (InferenceRecommendationsJobStep) obj;
if (other.getStepType() == null ^ this.getStepType() == null)
return false;
if (other.getStepType() != null && other.getStepType().equals(this.getStepType()) == false)
return false;
if (other.getJobName() == null ^ this.getJobName() == null)
return false;
if (other.getJobName() != null && other.getJobName().equals(this.getJobName()) == false)
return false;
if (other.getStatus() == null ^ this.getStatus() == null)
return false;
if (other.getStatus() != null && other.getStatus().equals(this.getStatus()) == false)
return false;
if (other.getInferenceBenchmark() == null ^ this.getInferenceBenchmark() == null)
return false;
if (other.getInferenceBenchmark() != null && other.getInferenceBenchmark().equals(this.getInferenceBenchmark()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getStepType() == null) ? 0 : getStepType().hashCode());
hashCode = prime * hashCode + ((getJobName() == null) ? 0 : getJobName().hashCode());
hashCode = prime * hashCode + ((getStatus() == null) ? 0 : getStatus().hashCode());
hashCode = prime * hashCode + ((getInferenceBenchmark() == null) ? 0 : getInferenceBenchmark().hashCode());
return hashCode;
}
@Override
public InferenceRecommendationsJobStep clone() {
try {
return (InferenceRecommendationsJobStep) super.clone();
} catch (CloneNotSupportedException e) {
throw new IllegalStateException("Got a CloneNotSupportedException from Object.clone() " + "even though we're Cloneable!", e);
}
}
@com.amazonaws.annotation.SdkInternalApi
@Override
public void marshall(ProtocolMarshaller protocolMarshaller) {
com.amazonaws.services.sagemaker.model.transform.InferenceRecommendationsJobStepMarshaller.getInstance().marshall(this, protocolMarshaller);
}
}