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

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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.frauddetector.model;

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

/**
 * 

* The Account Takeover Insights (ATI) model performance score. *

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

* The anomaly separation index (ASI) score. This metric summarizes the overall ability of the model to separate * anomalous activities from the normal behavior. Depending on the business, a large fraction of these anomalous * activities can be malicious and correspond to the account takeover attacks. A model with no separability power * will have the lowest possible ASI score of 0.5, whereas the a model with a high separability power will have the * highest possible ASI score of 1.0 *

*/ private Float asi; /** *

* The anomaly separation index (ASI) score. This metric summarizes the overall ability of the model to separate * anomalous activities from the normal behavior. Depending on the business, a large fraction of these anomalous * activities can be malicious and correspond to the account takeover attacks. A model with no separability power * will have the lowest possible ASI score of 0.5, whereas the a model with a high separability power will have the * highest possible ASI score of 1.0 *

* * @param asi * The anomaly separation index (ASI) score. This metric summarizes the overall ability of the model to * separate anomalous activities from the normal behavior. Depending on the business, a large fraction of * these anomalous activities can be malicious and correspond to the account takeover attacks. A model with * no separability power will have the lowest possible ASI score of 0.5, whereas the a model with a high * separability power will have the highest possible ASI score of 1.0 */ public void setAsi(Float asi) { this.asi = asi; } /** *

* The anomaly separation index (ASI) score. This metric summarizes the overall ability of the model to separate * anomalous activities from the normal behavior. Depending on the business, a large fraction of these anomalous * activities can be malicious and correspond to the account takeover attacks. A model with no separability power * will have the lowest possible ASI score of 0.5, whereas the a model with a high separability power will have the * highest possible ASI score of 1.0 *

* * @return The anomaly separation index (ASI) score. This metric summarizes the overall ability of the model to * separate anomalous activities from the normal behavior. Depending on the business, a large fraction of * these anomalous activities can be malicious and correspond to the account takeover attacks. A model with * no separability power will have the lowest possible ASI score of 0.5, whereas the a model with a high * separability power will have the highest possible ASI score of 1.0 */ public Float getAsi() { return this.asi; } /** *

* The anomaly separation index (ASI) score. This metric summarizes the overall ability of the model to separate * anomalous activities from the normal behavior. Depending on the business, a large fraction of these anomalous * activities can be malicious and correspond to the account takeover attacks. A model with no separability power * will have the lowest possible ASI score of 0.5, whereas the a model with a high separability power will have the * highest possible ASI score of 1.0 *

* * @param asi * The anomaly separation index (ASI) score. This metric summarizes the overall ability of the model to * separate anomalous activities from the normal behavior. Depending on the business, a large fraction of * these anomalous activities can be malicious and correspond to the account takeover attacks. A model with * no separability power will have the lowest possible ASI score of 0.5, whereas the a model with a high * separability power will have the highest possible ASI score of 1.0 * @return Returns a reference to this object so that method calls can be chained together. */ public ATIModelPerformance withAsi(Float asi) { setAsi(asi); 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 (getAsi() != null) sb.append("Asi: ").append(getAsi()); sb.append("}"); return sb.toString(); } @Override public boolean equals(Object obj) { if (this == obj) return true; if (obj == null) return false; if (obj instanceof ATIModelPerformance == false) return false; ATIModelPerformance other = (ATIModelPerformance) obj; if (other.getAsi() == null ^ this.getAsi() == null) return false; if (other.getAsi() != null && other.getAsi().equals(this.getAsi()) == false) return false; return true; } @Override public int hashCode() { final int prime = 31; int hashCode = 1; hashCode = prime * hashCode + ((getAsi() == null) ? 0 : getAsi().hashCode()); return hashCode; } @Override public ATIModelPerformance clone() { try { return (ATIModelPerformance) 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.frauddetector.model.transform.ATIModelPerformanceMarshaller.getInstance().marshall(this, protocolMarshaller); } }




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