GetEventPredictionResult (AWS SDK for Java

java.lang.Object
- com.amazonaws.AmazonWebServiceResult<ResponseMetadata>
- - com.amazonaws.services.frauddetector.model.GetEventPredictionResult

All Implemented Interfaces:: Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class GetEventPredictionResult
extends AmazonWebServiceResult<ResponseMetadata>
implements Serializable, Cloneable

See Also:: AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

GetEventPredictionResult()

Constructors
Constructor and Description
`GetEventPredictionResult()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`GetEventPredictionResult`	`clone()`
`boolean`	`equals(Object obj)`
`List<ExternalModelOutputs>`	`getExternalModelOutputs()` The model scores for Amazon SageMaker models.
`List<ModelScores>`	`getModelScores()` The model scores.
`List<RuleResult>`	`getRuleResults()` The results from the rules.
`int`	`hashCode()`
`void`	`setExternalModelOutputs(Collection<ExternalModelOutputs> externalModelOutputs)` The model scores for Amazon SageMaker models.
`void`	`setModelScores(Collection<ModelScores> modelScores)` The model scores.
`void`	`setRuleResults(Collection<RuleResult> ruleResults)` The results from the rules.
`String`	`toString()` Returns a string representation of this object.
`GetEventPredictionResult`	`withExternalModelOutputs(Collection<ExternalModelOutputs> externalModelOutputs)` The model scores for Amazon SageMaker models.
`GetEventPredictionResult`	`withExternalModelOutputs(ExternalModelOutputs... externalModelOutputs)` The model scores for Amazon SageMaker models.
`GetEventPredictionResult`	`withModelScores(Collection<ModelScores> modelScores)` The model scores.
`GetEventPredictionResult`	`withModelScores(ModelScores... modelScores)` The model scores.
`GetEventPredictionResult`	`withRuleResults(Collection<RuleResult> ruleResults)` The results from the rules.
`GetEventPredictionResult`	`withRuleResults(RuleResult... ruleResults)` The results from the rules.

Methods inherited from class com.amazonaws.AmazonWebServiceResult
getSdkHttpMetadata, getSdkResponseMetadata, setSdkHttpMetadata, setSdkResponseMetadata

Methods inherited from class java.lang.Object
getClass, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - GetEventPredictionResult
```
public GetEventPredictionResult()
```
- Method Detail
  - getModelScores
```
public List<ModelScores> getModelScores()
```
    The model scores. Amazon Fraud Detector generates model scores between 0 and 1000, where 0 is low fraud risk and 1000 is high fraud risk. Model scores are directly related to the false positive rate (FPR). For example, a score of 600 corresponds to an estimated 10% false positive rate whereas a score of 900 corresponds to an estimated 2% false positive rate.
    
    Returns:
    
    The model scores. Amazon Fraud Detector generates model scores between 0 and 1000, where 0 is low fraud risk and 1000 is high fraud risk. Model scores are directly related to the false positive rate (FPR). For example, a score of 600 corresponds to an estimated 10% false positive rate whereas a score of 900 corresponds to an estimated 2% false positive rate.
  - setModelScores
```
public void setModelScores(Collection<ModelScores> modelScores)
```
    The model scores. Amazon Fraud Detector generates model scores between 0 and 1000, where 0 is low fraud risk and 1000 is high fraud risk. Model scores are directly related to the false positive rate (FPR). For example, a score of 600 corresponds to an estimated 10% false positive rate whereas a score of 900 corresponds to an estimated 2% false positive rate.
    
    Parameters:
    
    modelScores - The model scores. Amazon Fraud Detector generates model scores between 0 and 1000, where 0 is low fraud risk and 1000 is high fraud risk. Model scores are directly related to the false positive rate (FPR). For example, a score of 600 corresponds to an estimated 10% false positive rate whereas a score of 900 corresponds to an estimated 2% false positive rate.
  - withModelScores
```
public GetEventPredictionResult withModelScores(ModelScores... modelScores)
```
    The model scores. Amazon Fraud Detector generates model scores between 0 and 1000, where 0 is low fraud risk and 1000 is high fraud risk. Model scores are directly related to the false positive rate (FPR). For example, a score of 600 corresponds to an estimated 10% false positive rate whereas a score of 900 corresponds to an estimated 2% false positive rate.
    
    NOTE: This method appends the values to the existing list (if any). Use setModelScores(java.util.Collection) or withModelScores(java.util.Collection) if you want to override the existing values.
    
    Parameters:
    
    modelScores - The model scores. Amazon Fraud Detector generates model scores between 0 and 1000, where 0 is low fraud risk and 1000 is high fraud risk. Model scores are directly related to the false positive rate (FPR). For example, a score of 600 corresponds to an estimated 10% false positive rate whereas a score of 900 corresponds to an estimated 2% false positive rate.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - withModelScores
```
public GetEventPredictionResult withModelScores(Collection<ModelScores> modelScores)
```
    The model scores. Amazon Fraud Detector generates model scores between 0 and 1000, where 0 is low fraud risk and 1000 is high fraud risk. Model scores are directly related to the false positive rate (FPR). For example, a score of 600 corresponds to an estimated 10% false positive rate whereas a score of 900 corresponds to an estimated 2% false positive rate.
    
    Parameters:
    
    modelScores - The model scores. Amazon Fraud Detector generates model scores between 0 and 1000, where 0 is low fraud risk and 1000 is high fraud risk. Model scores are directly related to the false positive rate (FPR). For example, a score of 600 corresponds to an estimated 10% false positive rate whereas a score of 900 corresponds to an estimated 2% false positive rate.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getRuleResults
```
public List<RuleResult> getRuleResults()
```
    The results from the rules.
    
    Returns:
    
    The results from the rules.
  - setRuleResults
```
public void setRuleResults(Collection<RuleResult> ruleResults)
```
    The results from the rules.
    
    Parameters:
    
    ruleResults - The results from the rules.
  - withRuleResults
```
public GetEventPredictionResult withRuleResults(RuleResult... ruleResults)
```
    The results from the rules.
    
    NOTE: This method appends the values to the existing list (if any). Use setRuleResults(java.util.Collection) or withRuleResults(java.util.Collection) if you want to override the existing values.
    
    Parameters:
    
    ruleResults - The results from the rules.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - withRuleResults
```
public GetEventPredictionResult withRuleResults(Collection<RuleResult> ruleResults)
```
    The results from the rules.
    
    Parameters:
    
    ruleResults - The results from the rules.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getExternalModelOutputs
```
public List<ExternalModelOutputs> getExternalModelOutputs()
```
    The model scores for Amazon SageMaker models.
    
    Returns:
    
    The model scores for Amazon SageMaker models.
  - setExternalModelOutputs
```
public void setExternalModelOutputs(Collection<ExternalModelOutputs> externalModelOutputs)
```
    The model scores for Amazon SageMaker models.
    
    Parameters:
    
    externalModelOutputs - The model scores for Amazon SageMaker models.
  - withExternalModelOutputs
```
public GetEventPredictionResult withExternalModelOutputs(ExternalModelOutputs... externalModelOutputs)
```
    The model scores for Amazon SageMaker models.
    
    NOTE: This method appends the values to the existing list (if any). Use setExternalModelOutputs(java.util.Collection) or withExternalModelOutputs(java.util.Collection) if you want to override the existing values.
    
    Parameters:
    
    externalModelOutputs - The model scores for Amazon SageMaker models.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - withExternalModelOutputs
```
public GetEventPredictionResult withExternalModelOutputs(Collection<ExternalModelOutputs> externalModelOutputs)
```
    The model scores for Amazon SageMaker models.
    
    Parameters:
    
    externalModelOutputs - The model scores for Amazon SageMaker models.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - toString
```
public String toString()
```
    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.
    
    Overrides:
    
    toString in class Object
    
    Returns:
    
    A string representation of this object.
    
    See Also:
    
    Object.toString()
  - equals
```
public boolean equals(Object obj)
```
    Overrides:
    
    equals in class Object
  - hashCode
```
public int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - clone
```
public GetEventPredictionResult clone()
```
    Overrides:
    
    clone in class Object

AWS SDK for Java 1.x API Reference - 1.12.779

Class GetEventPredictionResult

Constructor Summary

Method Summary

Methods inherited from class com.amazonaws.AmazonWebServiceResult

Methods inherited from class java.lang.Object

Constructor Detail

GetEventPredictionResult

Method Detail

getModelScores

setModelScores

withModelScores

withModelScores

getRuleResults

setRuleResults

withRuleResults

withRuleResults

getExternalModelOutputs

setExternalModelOutputs

withExternalModelOutputs

withExternalModelOutputs

toString

equals

hashCode

clone