/*
* Copyright 2010-2021 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;
/**
* <p>
* The output from a <code>Predict</code> operation:
* </p>
* <ul>
* <li>
* <p>
* <code>Details</code> - Contains the following attributes:
* <code>DetailsAttributes.PREDICTIVE_MODEL_TYPE - REGRESSION | BINARY | MULTICLASS</code>
* <code>DetailsAttributes.ALGORITHM - SGD</code>
* </p>
* </li>
* <li>
* <p>
* <code>PredictedLabel</code> - Present for either a <code>BINARY</code> or
* <code>MULTICLASS</code> <code>MLModel</code> request.
* </p>
* </li>
* <li>
* <p>
* <code>PredictedScores</code> - Contains the raw classification score
* corresponding to each label.
* </p>
* </li>
* <li>
* <p>
* <code>PredictedValue</code> - Present for a <code>REGRESSION</code>
* <code>MLModel</code> request.
* </p>
* </li>
* </ul>
*/
public class Prediction implements Serializable {
/**
* <p>
* The prediction label for either a <code>BINARY</code> or
* <code>MULTICLASS</code> <code>MLModel</code>.
* </p>
* <p>
* <b>Constraints:</b><br/>
* <b>Length: </b>1 - <br/>
*/
private String predictedLabel;
/**
* <p>
* The prediction value for <code>REGRESSION</code> <code>MLModel</code>.
* </p>
*/
private Float predictedValue;
/**
* <p>
* Provides the raw classification score corresponding to each label.
* </p>
*/
private java.util.Map<String, Float> predictedScores = new java.util.HashMap<String, Float>();
/**
* <p>
* Provides any additional details regarding the prediction.
* </p>
*/
private java.util.Map<String, String> details = new java.util.HashMap<String, String>();
/**
* <p>
* The prediction label for either a <code>BINARY</code> or
* <code>MULTICLASS</code> <code>MLModel</code>.
* </p>
* <p>
* <b>Constraints:</b><br/>
* <b>Length: </b>1 - <br/>
*
* @return <p>
* The prediction label for either a <code>BINARY</code> or
* <code>MULTICLASS</code> <code>MLModel</code>.
* </p>
*/
public String getPredictedLabel() {
return predictedLabel;
}
/**
* <p>
* The prediction label for either a <code>BINARY</code> or
* <code>MULTICLASS</code> <code>MLModel</code>.
* </p>
* <p>
* <b>Constraints:</b><br/>
* <b>Length: </b>1 - <br/>
*
* @param predictedLabel <p>
* The prediction label for either a <code>BINARY</code> or
* <code>MULTICLASS</code> <code>MLModel</code>.
* </p>
*/
public void setPredictedLabel(String predictedLabel) {
this.predictedLabel = predictedLabel;
}
/**
* <p>
* The prediction label for either a <code>BINARY</code> or
* <code>MULTICLASS</code> <code>MLModel</code>.
* </p>
* <p>
* Returns a reference to this object so that method calls can be chained
* together.
* <p>
* <b>Constraints:</b><br/>
* <b>Length: </b>1 - <br/>
*
* @param predictedLabel <p>
* The prediction label for either a <code>BINARY</code> or
* <code>MULTICLASS</code> <code>MLModel</code>.
* </p>
* @return A reference to this updated object so that method calls can be
* chained together.
*/
public Prediction withPredictedLabel(String predictedLabel) {
this.predictedLabel = predictedLabel;
return this;
}
/**
* <p>
* The prediction value for <code>REGRESSION</code> <code>MLModel</code>.
* </p>
*
* @return <p>
* The prediction value for <code>REGRESSION</code>
* <code>MLModel</code>.
* </p>
*/
public Float getPredictedValue() {
return predictedValue;
}
/**
* <p>
* The prediction value for <code>REGRESSION</code> <code>MLModel</code>.
* </p>
*
* @param predictedValue <p>
* The prediction value for <code>REGRESSION</code>
* <code>MLModel</code>.
* </p>
*/
public void setPredictedValue(Float predictedValue) {
this.predictedValue = predictedValue;
}
/**
* <p>
* The prediction value for <code>REGRESSION</code> <code>MLModel</code>.
* </p>
* <p>
* Returns a reference to this object so that method calls can be chained
* together.
*
* @param predictedValue <p>
* The prediction value for <code>REGRESSION</code>
* <code>MLModel</code>.
* </p>
* @return A reference to this updated object so that method calls can be
* chained together.
*/
public Prediction withPredictedValue(Float predictedValue) {
this.predictedValue = predictedValue;
return this;
}
/**
* <p>
* Provides the raw classification score corresponding to each label.
* </p>
*
* @return <p>
* Provides the raw classification score corresponding to each
* label.
* </p>
*/
public java.util.Map<String, Float> getPredictedScores() {
return predictedScores;
}
/**
* <p>
* Provides the raw classification score corresponding to each label.
* </p>
*
* @param predictedScores <p>
* Provides the raw classification score corresponding to each
* label.
* </p>
*/
public void setPredictedScores(java.util.Map<String, Float> predictedScores) {
this.predictedScores = predictedScores;
}
/**
* <p>
* Provides the raw classification score corresponding to each label.
* </p>
* <p>
* Returns a reference to this object so that method calls can be chained
* together.
*
* @param predictedScores <p>
* Provides the raw classification score corresponding to each
* label.
* </p>
* @return A reference to this updated object so that method calls can be
* chained together.
*/
public Prediction withPredictedScores(java.util.Map<String, Float> predictedScores) {
this.predictedScores = predictedScores;
return this;
}
/**
* <p>
* Provides the raw classification score corresponding to each label.
* </p>
* <p>
* The method adds a new key-value pair into predictedScores parameter, and
* returns a reference to this object so that method calls can be chained
* together.
*
* @param key The key of the entry to be added into predictedScores.
* @param value The corresponding value of the entry to be added into
* predictedScores.
* @return A reference to this updated object so that method calls can be
* chained together.
*/
public Prediction addpredictedScoresEntry(String key, Float value) {
if (null == this.predictedScores) {
this.predictedScores = new java.util.HashMap<String, Float>();
}
if (this.predictedScores.containsKey(key))
throw new IllegalArgumentException("Duplicated keys (" + key.toString()
+ ") are provided.");
this.predictedScores.put(key, value);
return this;
}
/**
* Removes all the entries added into predictedScores.
* <p>
* Returns a reference to this object so that method calls can be chained
* together.
*/
public Prediction clearpredictedScoresEntries() {
this.predictedScores = null;
return this;
}
/**
* <p>
* Provides any additional details regarding the prediction.
* </p>
*
* @return <p>
* Provides any additional details regarding the prediction.
* </p>
*/
public java.util.Map<String, String> getDetails() {
return details;
}
/**
* <p>
* Provides any additional details regarding the prediction.
* </p>
*
* @param details <p>
* Provides any additional details regarding the prediction.
* </p>
*/
public void setDetails(java.util.Map<String, String> details) {
this.details = details;
}
/**
* <p>
* Provides any additional details regarding the prediction.
* </p>
* <p>
* Returns a reference to this object so that method calls can be chained
* together.
*
* @param details <p>
* Provides any additional details regarding the prediction.
* </p>
* @return A reference to this updated object so that method calls can be
* chained together.
*/
public Prediction withDetails(java.util.Map<String, String> details) {
this.details = details;
return this;
}
/**
* <p>
* Provides any additional details regarding the prediction.
* </p>
* <p>
* The method adds a new key-value pair into details parameter, and returns
* a reference to this object so that method calls can be chained together.
*
* @param key The key of the entry to be added into details.
* @param value The corresponding value of the entry to be added into
* details.
* @return A reference to this updated object so that method calls can be
* chained together.
*/
public Prediction adddetailsEntry(String key, String value) {
if (null == this.details) {
this.details = new java.util.HashMap<String, String>();
}
if (this.details.containsKey(key))
throw new IllegalArgumentException("Duplicated keys (" + key.toString()
+ ") are provided.");
this.details.put(key, value);
return this;
}
/**
* Removes all the entries added into details.
* <p>
* Returns a reference to this object so that method calls can be chained
* together.
*/
public Prediction cleardetailsEntries() {
this.details = null;
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 (getPredictedLabel() != null)
sb.append("predictedLabel: " + getPredictedLabel() + ",");
if (getPredictedValue() != null)
sb.append("predictedValue: " + getPredictedValue() + ",");
if (getPredictedScores() != null)
sb.append("predictedScores: " + getPredictedScores() + ",");
if (getDetails() != null)
sb.append("details: " + getDetails());
sb.append("}");
return sb.toString();
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode
+ ((getPredictedLabel() == null) ? 0 : getPredictedLabel().hashCode());
hashCode = prime * hashCode
+ ((getPredictedValue() == null) ? 0 : getPredictedValue().hashCode());
hashCode = prime * hashCode
+ ((getPredictedScores() == null) ? 0 : getPredictedScores().hashCode());
hashCode = prime * hashCode + ((getDetails() == null) ? 0 : getDetails().hashCode());
return hashCode;
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof Prediction == false)
return false;
Prediction other = (Prediction) obj;
if (other.getPredictedLabel() == null ^ this.getPredictedLabel() == null)
return false;
if (other.getPredictedLabel() != null
&& other.getPredictedLabel().equals(this.getPredictedLabel()) == false)
return false;
if (other.getPredictedValue() == null ^ this.getPredictedValue() == null)
return false;
if (other.getPredictedValue() != null
&& other.getPredictedValue().equals(this.getPredictedValue()) == false)
return false;
if (other.getPredictedScores() == null ^ this.getPredictedScores() == null)
return false;
if (other.getPredictedScores() != null
&& other.getPredictedScores().equals(this.getPredictedScores()) == false)
return false;
if (other.getDetails() == null ^ this.getDetails() == null)
return false;
if (other.getDetails() != null && other.getDetails().equals(this.getDetails()) == false)
return false;
return true;
}
}