TFIMetricDataPoint (AWS SDK for Java

java.lang.Object
- com.amazonaws.services.frauddetector.model.TFIMetricDataPoint

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable
```
@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class TFIMetricDataPoint
extends Object
implements Serializable, Cloneable, StructuredPojo
```
The performance metrics data points for Transaction Fraud Insights (TFI) model.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

TFIMetricDataPoint()

Constructors
Constructor and Description
`TFIMetricDataPoint()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`TFIMetricDataPoint`	`clone()`
`boolean`	`equals(Object obj)`
`Float`	`getFpr()` The false positive rate.
`Float`	`getPrecision()` The percentage of fraud events correctly predicted as fraudulent as compared to all events predicted as fraudulent.
`Float`	`getThreshold()` The model threshold that specifies an acceptable fraud capture rate.
`Float`	`getTpr()` The true positive rate.
`int`	`hashCode()`
`void`	`marshall(ProtocolMarshaller protocolMarshaller)` Marshalls this structured data using the given `ProtocolMarshaller`.
`void`	`setFpr(Float fpr)` The false positive rate.
`void`	`setPrecision(Float precision)` The percentage of fraud events correctly predicted as fraudulent as compared to all events predicted as fraudulent.
`void`	`setThreshold(Float threshold)` The model threshold that specifies an acceptable fraud capture rate.
`void`	`setTpr(Float tpr)` The true positive rate.
`String`	`toString()` Returns a string representation of this object.
`TFIMetricDataPoint`	`withFpr(Float fpr)` The false positive rate.
`TFIMetricDataPoint`	`withPrecision(Float precision)` The percentage of fraud events correctly predicted as fraudulent as compared to all events predicted as fraudulent.
`TFIMetricDataPoint`	`withThreshold(Float threshold)` The model threshold that specifies an acceptable fraud capture rate.
`TFIMetricDataPoint`	`withTpr(Float tpr)` The true positive rate.

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

- Constructor Detail
  - TFIMetricDataPoint
```
public TFIMetricDataPoint()
```
- Method Detail
  - setFpr
```
public void setFpr(Float fpr)
```
    The false positive rate. This is the percentage of total legitimate events that are incorrectly predicted as fraud.
    
    Parameters:
    
    fpr - The false positive rate. This is the percentage of total legitimate events that are incorrectly predicted as fraud.
  - getFpr
```
public Float getFpr()
```
    The false positive rate. This is the percentage of total legitimate events that are incorrectly predicted as fraud.
    
    Returns:
    
    The false positive rate. This is the percentage of total legitimate events that are incorrectly predicted as fraud.
  - withFpr
```
public TFIMetricDataPoint withFpr(Float fpr)
```
    The false positive rate. This is the percentage of total legitimate events that are incorrectly predicted as fraud.
    
    Parameters:
    
    fpr - The false positive rate. This is the percentage of total legitimate events that are incorrectly predicted as fraud.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setPrecision
```
public void setPrecision(Float precision)
```
    The percentage of fraud events correctly predicted as fraudulent as compared to all events predicted as fraudulent.
    
    Parameters:
    
    precision - The percentage of fraud events correctly predicted as fraudulent as compared to all events predicted as fraudulent.
  - getPrecision
```
public Float getPrecision()
```
    The percentage of fraud events correctly predicted as fraudulent as compared to all events predicted as fraudulent.
    
    Returns:
    
    The percentage of fraud events correctly predicted as fraudulent as compared to all events predicted as fraudulent.
  - withPrecision
```
public TFIMetricDataPoint withPrecision(Float precision)
```
    The percentage of fraud events correctly predicted as fraudulent as compared to all events predicted as fraudulent.
    
    Parameters:
    
    precision - The percentage of fraud events correctly predicted as fraudulent as compared to all events predicted as fraudulent.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setTpr
```
public void setTpr(Float tpr)
```
    The true positive rate. This is the percentage of total fraud the model detects. Also known as capture rate.
    
    Parameters:
    
    tpr - The true positive rate. This is the percentage of total fraud the model detects. Also known as capture rate.
  - getTpr
```
public Float getTpr()
```
    The true positive rate. This is the percentage of total fraud the model detects. Also known as capture rate.
    
    Returns:
    
    The true positive rate. This is the percentage of total fraud the model detects. Also known as capture rate.
  - withTpr
```
public TFIMetricDataPoint withTpr(Float tpr)
```
    The true positive rate. This is the percentage of total fraud the model detects. Also known as capture rate.
    
    Parameters:
    
    tpr - The true positive rate. This is the percentage of total fraud the model detects. Also known as capture rate.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setThreshold
```
public void setThreshold(Float threshold)
```
    The model threshold that specifies an acceptable fraud capture rate. For example, a threshold of 500 means any model score 500 or above is labeled as fraud.
    
    Parameters:
    
    threshold - The model threshold that specifies an acceptable fraud capture rate. For example, a threshold of 500 means any model score 500 or above is labeled as fraud.
  - getThreshold
```
public Float getThreshold()
```
    The model threshold that specifies an acceptable fraud capture rate. For example, a threshold of 500 means any model score 500 or above is labeled as fraud.
    
    Returns:
    
    The model threshold that specifies an acceptable fraud capture rate. For example, a threshold of 500 means any model score 500 or above is labeled as fraud.
  - withThreshold
```
public TFIMetricDataPoint withThreshold(Float threshold)
```
    The model threshold that specifies an acceptable fraud capture rate. For example, a threshold of 500 means any model score 500 or above is labeled as fraud.
    
    Parameters:
    
    threshold - The model threshold that specifies an acceptable fraud capture rate. For example, a threshold of 500 means any model score 500 or above is labeled as fraud.
    
    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 TFIMetricDataPoint clone()
```
    Overrides:
    
    clone in class Object
  - marshall
```
public void marshall(ProtocolMarshaller protocolMarshaller)
```
    Description copied from interface: StructuredPojo
    
    Marshalls this structured data using the given ProtocolMarshaller.
    
    Specified by:
    
    marshall in interface StructuredPojo
    
    Parameters:
    
    protocolMarshaller - Implementation of ProtocolMarshaller used to marshall this object's data.

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Class TFIMetricDataPoint

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

TFIMetricDataPoint

Method Detail

setFpr

getFpr

withFpr

setPrecision

getPrecision

withPrecision

setTpr

getTpr

withTpr

setThreshold

getThreshold

withThreshold

toString

equals

hashCode

clone

marshall