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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;

/**
 * 
 * @see AWS API Documentation
 */
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class ListInferenceRecommendationsJobsResult extends com.amazonaws.AmazonWebServiceResult implements Serializable,
        Cloneable {

    /**
     * 

* The recommendations created from the Amazon SageMaker Inference Recommender job. *

*/ private java.util.List inferenceRecommendationsJobs; /** *

* A token for getting the next set of recommendations, if there are any. *

*/ private String nextToken; /** *

* The recommendations created from the Amazon SageMaker Inference Recommender job. *

* * @return The recommendations created from the Amazon SageMaker Inference Recommender job. */ public java.util.List getInferenceRecommendationsJobs() { return inferenceRecommendationsJobs; } /** *

* The recommendations created from the Amazon SageMaker Inference Recommender job. *

* * @param inferenceRecommendationsJobs * The recommendations created from the Amazon SageMaker Inference Recommender job. */ public void setInferenceRecommendationsJobs(java.util.Collection inferenceRecommendationsJobs) { if (inferenceRecommendationsJobs == null) { this.inferenceRecommendationsJobs = null; return; } this.inferenceRecommendationsJobs = new java.util.ArrayList(inferenceRecommendationsJobs); } /** *

* The recommendations created from the Amazon SageMaker Inference Recommender job. *

*

* NOTE: This method appends the values to the existing list (if any). Use * {@link #setInferenceRecommendationsJobs(java.util.Collection)} or * {@link #withInferenceRecommendationsJobs(java.util.Collection)} if you want to override the existing values. *

* * @param inferenceRecommendationsJobs * The recommendations created from the Amazon SageMaker Inference Recommender job. * @return Returns a reference to this object so that method calls can be chained together. */ public ListInferenceRecommendationsJobsResult withInferenceRecommendationsJobs(InferenceRecommendationsJob... inferenceRecommendationsJobs) { if (this.inferenceRecommendationsJobs == null) { setInferenceRecommendationsJobs(new java.util.ArrayList(inferenceRecommendationsJobs.length)); } for (InferenceRecommendationsJob ele : inferenceRecommendationsJobs) { this.inferenceRecommendationsJobs.add(ele); } return this; } /** *

* The recommendations created from the Amazon SageMaker Inference Recommender job. *

* * @param inferenceRecommendationsJobs * The recommendations created from the Amazon SageMaker Inference Recommender job. * @return Returns a reference to this object so that method calls can be chained together. */ public ListInferenceRecommendationsJobsResult withInferenceRecommendationsJobs( java.util.Collection inferenceRecommendationsJobs) { setInferenceRecommendationsJobs(inferenceRecommendationsJobs); return this; } /** *

* A token for getting the next set of recommendations, if there are any. *

* * @param nextToken * A token for getting the next set of recommendations, if there are any. */ public void setNextToken(String nextToken) { this.nextToken = nextToken; } /** *

* A token for getting the next set of recommendations, if there are any. *

* * @return A token for getting the next set of recommendations, if there are any. */ public String getNextToken() { return this.nextToken; } /** *

* A token for getting the next set of recommendations, if there are any. *

* * @param nextToken * A token for getting the next set of recommendations, if there are any. * @return Returns a reference to this object so that method calls can be chained together. */ public ListInferenceRecommendationsJobsResult withNextToken(String nextToken) { setNextToken(nextToken); 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 (getInferenceRecommendationsJobs() != null) sb.append("InferenceRecommendationsJobs: ").append(getInferenceRecommendationsJobs()).append(","); if (getNextToken() != null) sb.append("NextToken: ").append(getNextToken()); sb.append("}"); return sb.toString(); } @Override public boolean equals(Object obj) { if (this == obj) return true; if (obj == null) return false; if (obj instanceof ListInferenceRecommendationsJobsResult == false) return false; ListInferenceRecommendationsJobsResult other = (ListInferenceRecommendationsJobsResult) obj; if (other.getInferenceRecommendationsJobs() == null ^ this.getInferenceRecommendationsJobs() == null) return false; if (other.getInferenceRecommendationsJobs() != null && other.getInferenceRecommendationsJobs().equals(this.getInferenceRecommendationsJobs()) == false) return false; if (other.getNextToken() == null ^ this.getNextToken() == null) return false; if (other.getNextToken() != null && other.getNextToken().equals(this.getNextToken()) == false) return false; return true; } @Override public int hashCode() { final int prime = 31; int hashCode = 1; hashCode = prime * hashCode + ((getInferenceRecommendationsJobs() == null) ? 0 : getInferenceRecommendationsJobs().hashCode()); hashCode = prime * hashCode + ((getNextToken() == null) ? 0 : getNextToken().hashCode()); return hashCode; } @Override public ListInferenceRecommendationsJobsResult clone() { try { return (ListInferenceRecommendationsJobsResult) super.clone(); } catch (CloneNotSupportedException e) { throw new IllegalStateException("Got a CloneNotSupportedException from Object.clone() " + "even though we're Cloneable!", e); } } }




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