/* * Copyright 2012-2017 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.machinelearning.model; import java.io.Serializable; import javax.annotation.Generated; import com.amazonaws.AmazonWebServiceRequest; @Generated("com.amazonaws:aws-java-sdk-code-generator") public class PredictRequest extends com.amazonaws.AmazonWebServiceRequest implements Serializable, Cloneable { /** * <p> * A unique identifier of the <code>MLModel</code>. * </p> */ private String mLModelId; private com.amazonaws.internal.SdkInternalMap<String, String> record; private String predictEndpoint; /** * <p> * A unique identifier of the <code>MLModel</code>. * </p> * * @param mLModelId * A unique identifier of the <code>MLModel</code>. */ public void setMLModelId(String mLModelId) { this.mLModelId = mLModelId; } /** * <p> * A unique identifier of the <code>MLModel</code>. * </p> * * @return A unique identifier of the <code>MLModel</code>. */ public String getMLModelId() { return this.mLModelId; } /** * <p> * A unique identifier of the <code>MLModel</code>. * </p> * * @param mLModelId * A unique identifier of the <code>MLModel</code>. * @return Returns a reference to this object so that method calls can be chained together. */ public PredictRequest withMLModelId(String mLModelId) { setMLModelId(mLModelId); return this; } /** * @return */ public java.util.Map<String, String> getRecord() { if (record == null) { record = new com.amazonaws.internal.SdkInternalMap<String, String>(); } return record; } /** * @param record */ public void setRecord(java.util.Map<String, String> record) { this.record = record == null ? null : new com.amazonaws.internal.SdkInternalMap<String, String>(record); } /** * @param record * @return Returns a reference to this object so that method calls can be chained together. */ public PredictRequest withRecord(java.util.Map<String, String> record) { setRecord(record); return this; } public PredictRequest addRecordEntry(String key, String value) { if (null == this.record) { this.record = new com.amazonaws.internal.SdkInternalMap<String, String>(); } if (this.record.containsKey(key)) throw new IllegalArgumentException("Duplicated keys (" + key.toString() + ") are provided."); this.record.put(key, value); return this; } /** * Removes all the entries added into Record. * * @return Returns a reference to this object so that method calls can be chained together. */ public PredictRequest clearRecordEntries() { this.record = null; return this; } /** * @param predictEndpoint */ public void setPredictEndpoint(String predictEndpoint) { this.predictEndpoint = predictEndpoint; } /** * @return */ public String getPredictEndpoint() { return this.predictEndpoint; } /** * @param predictEndpoint * @return Returns a reference to this object so that method calls can be chained together. */ public PredictRequest withPredictEndpoint(String predictEndpoint) { setPredictEndpoint(predictEndpoint); return this; } /** * Returns a string representation of this object; useful for testing and debugging. * * @return A string representation of this object. * * @see java.lang.Object#toString() */ @Override public String toString() { StringBuilder sb = new StringBuilder(); sb.append("{"); if (getMLModelId() != null) sb.append("MLModelId: ").append(getMLModelId()).append(","); if (getRecord() != null) sb.append("Record: ").append(getRecord()).append(","); if (getPredictEndpoint() != null) sb.append("PredictEndpoint: ").append(getPredictEndpoint()); sb.append("}"); return sb.toString(); } @Override public boolean equals(Object obj) { if (this == obj) return true; if (obj == null) return false; if (obj instanceof PredictRequest == false) return false; PredictRequest other = (PredictRequest) obj; if (other.getMLModelId() == null ^ this.getMLModelId() == null) return false; if (other.getMLModelId() != null && other.getMLModelId().equals(this.getMLModelId()) == false) return false; if (other.getRecord() == null ^ this.getRecord() == null) return false; if (other.getRecord() != null && other.getRecord().equals(this.getRecord()) == false) return false; if (other.getPredictEndpoint() == null ^ this.getPredictEndpoint() == null) return false; if (other.getPredictEndpoint() != null && other.getPredictEndpoint().equals(this.getPredictEndpoint()) == false) return false; return true; } @Override public int hashCode() { final int prime = 31; int hashCode = 1; hashCode = prime * hashCode + ((getMLModelId() == null) ? 0 : getMLModelId().hashCode()); hashCode = prime * hashCode + ((getRecord() == null) ? 0 : getRecord().hashCode()); hashCode = prime * hashCode + ((getPredictEndpoint() == null) ? 0 : getPredictEndpoint().hashCode()); return hashCode; } @Override public PredictRequest clone() { return (PredictRequest) super.clone(); } }