java.lang.Object
- software.amazon.awssdk.services.glue.model.FindMatchesMetrics

All Implemented Interfaces:

Serializable, SdkPojo, ToCopyableBuilder<FindMatchesMetrics.Builder,FindMatchesMetrics>
```
@Generated("software.amazon.awssdk:codegen")
public final class FindMatchesMetrics
extends Object
implements SdkPojo, Serializable, ToCopyableBuilder<FindMatchesMetrics.Builder,FindMatchesMetrics>
```
The evaluation metrics for the find matches algorithm. The quality of your machine learning transform is measured by getting your transform to predict some matches and comparing the results to known matches from the same dataset. The quality metrics are based on a subset of your data, so they are not precise.

See Also:

Serialized Form

Nested Class Summary

Nested Classes
Modifier and Type Class Description

static interface FindMatchesMetrics.Builder

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`Double`	`areaUnderPRCurve()`	The area under the precision/recall curve (AUPRC) is a single number measuring the overall quality of the transform, that is independent of the choice made for precision vs.
`static FindMatchesMetrics.Builder`	`builder()`
`List<ColumnImportance>`	`columnImportances()`	A list of `ColumnImportance` structures containing column importance metrics, sorted in order of descending importance.
`ConfusionMatrix`	`confusionMatrix()`	The confusion matrix shows you what your transform is predicting accurately and what types of errors it is making.
`boolean`	`equals(Object obj)`
`boolean`	`equalsBySdkFields(Object obj)`
`Double`	`f1()`	The maximum F1 metric indicates the transform's accuracy between 0 and 1, where 1 is the best accuracy.
`<T> Optional<T>`	`getValueForField(String fieldName, Class<T> clazz)`
`boolean`	`hasColumnImportances()`	For responses, this returns true if the service returned a value for the ColumnImportances property.
`int`	`hashCode()`
`Double`	`precision()`	The precision metric indicates when often your transform is correct when it predicts a match.
`Double`	`recall()`	The recall metric indicates that for an actual match, how often your transform predicts the match.
`List<SdkField<?>>`	`sdkFields()`
`static Class<? extends FindMatchesMetrics.Builder>`	`serializableBuilderClass()`
`FindMatchesMetrics.Builder`	`toBuilder()`
`String`	`toString()`	Returns a string representation of this object.

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

Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy

- Method Detail
  - areaUnderPRCurve
```
public final Double areaUnderPRCurve()
```
    The area under the precision/recall curve (AUPRC) is a single number measuring the overall quality of the transform, that is independent of the choice made for precision vs. recall. Higher values indicate that you have a more attractive precision vs. recall tradeoff.
    
    For more information, see Precision and recall in Wikipedia.
    
    Returns:
    
    The area under the precision/recall curve (AUPRC) is a single number measuring the overall quality of the transform, that is independent of the choice made for precision vs. recall. Higher values indicate that you have a more attractive precision vs. recall tradeoff.
    
    For more information, see Precision and recall in Wikipedia.
  - precision
```
public final Double precision()
```
    The precision metric indicates when often your transform is correct when it predicts a match. Specifically, it measures how well the transform finds true positives from the total true positives possible.
    
    For more information, see Precision and recall in Wikipedia.
    
    Returns:
    
    The precision metric indicates when often your transform is correct when it predicts a match. Specifically, it measures how well the transform finds true positives from the total true positives possible.
    
    For more information, see Precision and recall in Wikipedia.
  - recall
```
public final Double recall()
```
    The recall metric indicates that for an actual match, how often your transform predicts the match. Specifically, it measures how well the transform finds true positives from the total records in the source data.
    
    For more information, see Precision and recall in Wikipedia.
    
    Returns:
    
    The recall metric indicates that for an actual match, how often your transform predicts the match. Specifically, it measures how well the transform finds true positives from the total records in the source data.
    
    For more information, see Precision and recall in Wikipedia.
  - f1
```
public final Double f1()
```
    The maximum F1 metric indicates the transform's accuracy between 0 and 1, where 1 is the best accuracy.
    
    For more information, see F1 score in Wikipedia.
    
    Returns:
    
    The maximum F1 metric indicates the transform's accuracy between 0 and 1, where 1 is the best accuracy.
    
    For more information, see F1 score in Wikipedia.
  - confusionMatrix
```
public final ConfusionMatrix confusionMatrix()
```
    The confusion matrix shows you what your transform is predicting accurately and what types of errors it is making.
    
    For more information, see Confusion matrix in Wikipedia.
    
    Returns:
    
    The confusion matrix shows you what your transform is predicting accurately and what types of errors it is making.
    
    For more information, see Confusion matrix in Wikipedia.
  - hasColumnImportances
```
public final boolean hasColumnImportances()
```
    For responses, this returns true if the service returned a value for the ColumnImportances property. This DOES NOT check that the value is non-empty (for which, you should check the isEmpty() method on the property). This is useful because the SDK will never return a null collection or map, but you may need to differentiate between the service returning nothing (or null) and the service returning an empty collection or map. For requests, this returns true if a value for the property was specified in the request builder, and false if a value was not specified.
  - columnImportances
```
public final List<ColumnImportance> columnImportances()
```
    A list of ColumnImportance structures containing column importance metrics, sorted in order of descending importance.
    
    Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
    
    This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the hasColumnImportances() method.
    
    Returns:
    
    A list of ColumnImportance structures containing column importance metrics, sorted in order of descending importance.
  - toBuilder
```
public FindMatchesMetrics.Builder toBuilder()
```
    Specified by:
    
    toBuilder in interface ToCopyableBuilder<FindMatchesMetrics.Builder,FindMatchesMetrics>
  - builder
```
public static FindMatchesMetrics.Builder builder()
```
  - serializableBuilderClass
```
public static Class<? extends FindMatchesMetrics.Builder> serializableBuilderClass()
```
  - hashCode
```
public final int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - equals
```
public final boolean equals(Object obj)
```
    Overrides:
    
    equals in class Object
  - equalsBySdkFields
```
public final boolean equalsBySdkFields(Object obj)
```
    Specified by:
    
    equalsBySdkFields in interface SdkPojo
  - toString
```
public final 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
  - getValueForField
```
public final <T> Optional<T> getValueForField(String fieldName,
                                              Class<T> clazz)
```
  - sdkFields
```
public final List<SdkField<?>> sdkFields()
```
    Specified by:
    
    sdkFields in interface SdkPojo

Class FindMatchesMetrics

Nested Class Summary

Method Summary

Methods inherited from class java.lang.Object

Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder

Method Detail

areaUnderPRCurve

precision

recall

f1

confusionMatrix

hasColumnImportances

columnImportances

toBuilder

builder

serializableBuilderClass

hashCode

equals

equalsBySdkFields

toString

getValueForField

sdkFields