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The AWS Java SDK for Amazon Lookout for Vision module holds the client classes that are used for communicating with Amazon Lookout for Vision Service

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/*
 * Copyright 2017-2022 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.lookoutforvision.model;

import java.io.Serializable;
import javax.annotation.Generated;
import com.amazonaws.protocol.StructuredPojo;
import com.amazonaws.protocol.ProtocolMarshaller;

/**
 * 

* Information about the evaluation performance of a trained model. *

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

* The overall F1 score metric for the trained model. *

*/ private Float f1Score; /** *

* The overall recall metric value for the trained model. *

*/ private Float recall; /** *

* The overall precision metric value for the trained model. *

*/ private Float precision; /** *

* The overall F1 score metric for the trained model. *

* * @param f1Score * The overall F1 score metric for the trained model. */ public void setF1Score(Float f1Score) { this.f1Score = f1Score; } /** *

* The overall F1 score metric for the trained model. *

* * @return The overall F1 score metric for the trained model. */ public Float getF1Score() { return this.f1Score; } /** *

* The overall F1 score metric for the trained model. *

* * @param f1Score * The overall F1 score metric for the trained model. * @return Returns a reference to this object so that method calls can be chained together. */ public ModelPerformance withF1Score(Float f1Score) { setF1Score(f1Score); return this; } /** *

* The overall recall metric value for the trained model. *

* * @param recall * The overall recall metric value for the trained model. */ public void setRecall(Float recall) { this.recall = recall; } /** *

* The overall recall metric value for the trained model. *

* * @return The overall recall metric value for the trained model. */ public Float getRecall() { return this.recall; } /** *

* The overall recall metric value for the trained model. *

* * @param recall * The overall recall metric value for the trained model. * @return Returns a reference to this object so that method calls can be chained together. */ public ModelPerformance withRecall(Float recall) { setRecall(recall); return this; } /** *

* The overall precision metric value for the trained model. *

* * @param precision * The overall precision metric value for the trained model. */ public void setPrecision(Float precision) { this.precision = precision; } /** *

* The overall precision metric value for the trained model. *

* * @return The overall precision metric value for the trained model. */ public Float getPrecision() { return this.precision; } /** *

* The overall precision metric value for the trained model. *

* * @param precision * The overall precision metric value for the trained model. * @return Returns a reference to this object so that method calls can be chained together. */ public ModelPerformance withPrecision(Float precision) { setPrecision(precision); 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 (getF1Score() != null) sb.append("F1Score: ").append(getF1Score()).append(","); if (getRecall() != null) sb.append("Recall: ").append(getRecall()).append(","); if (getPrecision() != null) sb.append("Precision: ").append(getPrecision()); sb.append("}"); return sb.toString(); } @Override public boolean equals(Object obj) { if (this == obj) return true; if (obj == null) return false; if (obj instanceof ModelPerformance == false) return false; ModelPerformance other = (ModelPerformance) obj; if (other.getF1Score() == null ^ this.getF1Score() == null) return false; if (other.getF1Score() != null && other.getF1Score().equals(this.getF1Score()) == false) return false; if (other.getRecall() == null ^ this.getRecall() == null) return false; if (other.getRecall() != null && other.getRecall().equals(this.getRecall()) == false) return false; if (other.getPrecision() == null ^ this.getPrecision() == null) return false; if (other.getPrecision() != null && other.getPrecision().equals(this.getPrecision()) == false) return false; return true; } @Override public int hashCode() { final int prime = 31; int hashCode = 1; hashCode = prime * hashCode + ((getF1Score() == null) ? 0 : getF1Score().hashCode()); hashCode = prime * hashCode + ((getRecall() == null) ? 0 : getRecall().hashCode()); hashCode = prime * hashCode + ((getPrecision() == null) ? 0 : getPrecision().hashCode()); return hashCode; } @Override public ModelPerformance clone() { try { return (ModelPerformance) 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.lookoutforvision.model.transform.ModelPerformanceMarshaller.getInstance().marshall(this, protocolMarshaller); } }




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