com.amazonaws.services.frauddetector.model.ATIModelPerformance Maven / Gradle / Ivy
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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);
}
}