AWS SDK for C++  1.8.95
AWS SDK for C++
Public Member Functions | List of all members
Aws::Comprehend::Model::EntityRecognizerEvaluationMetrics Class Reference

#include <EntityRecognizerEvaluationMetrics.h>

Public Member Functions

 EntityRecognizerEvaluationMetrics ()
 
 EntityRecognizerEvaluationMetrics (Aws::Utils::Json::JsonView jsonValue)
 
EntityRecognizerEvaluationMetricsoperator= (Aws::Utils::Json::JsonView jsonValue)
 
Aws::Utils::Json::JsonValue Jsonize () const
 
double GetPrecision () const
 
bool PrecisionHasBeenSet () const
 
void SetPrecision (double value)
 
EntityRecognizerEvaluationMetricsWithPrecision (double value)
 
double GetRecall () const
 
bool RecallHasBeenSet () const
 
void SetRecall (double value)
 
EntityRecognizerEvaluationMetricsWithRecall (double value)
 
double GetF1Score () const
 
bool F1ScoreHasBeenSet () const
 
void SetF1Score (double value)
 
EntityRecognizerEvaluationMetricsWithF1Score (double value)
 

Detailed Description

Detailed information about the accuracy of an entity recognizer.

See Also:

AWS API Reference

Definition at line 30 of file EntityRecognizerEvaluationMetrics.h.

Constructor & Destructor Documentation

◆ EntityRecognizerEvaluationMetrics() [1/2]

Aws::Comprehend::Model::EntityRecognizerEvaluationMetrics::EntityRecognizerEvaluationMetrics ( )

◆ EntityRecognizerEvaluationMetrics() [2/2]

Aws::Comprehend::Model::EntityRecognizerEvaluationMetrics::EntityRecognizerEvaluationMetrics ( Aws::Utils::Json::JsonView  jsonValue)

Member Function Documentation

◆ F1ScoreHasBeenSet()

bool Aws::Comprehend::Model::EntityRecognizerEvaluationMetrics::F1ScoreHasBeenSet ( ) const
inline

A measure of how accurate the recognizer results are for the test data. It is derived from the Precision and Recall values. The F1Score is the harmonic average of the two scores. The highest score is 1, and the worst score is 0.

Definition at line 107 of file EntityRecognizerEvaluationMetrics.h.

◆ GetF1Score()

double Aws::Comprehend::Model::EntityRecognizerEvaluationMetrics::GetF1Score ( ) const
inline

A measure of how accurate the recognizer results are for the test data. It is derived from the Precision and Recall values. The F1Score is the harmonic average of the two scores. The highest score is 1, and the worst score is 0.

Definition at line 99 of file EntityRecognizerEvaluationMetrics.h.

◆ GetPrecision()

double Aws::Comprehend::Model::EntityRecognizerEvaluationMetrics::GetPrecision ( ) const
inline

A measure of the usefulness of the recognizer results in the test data. High precision means that the recognizer returned substantially more relevant results than irrelevant ones.

Definition at line 44 of file EntityRecognizerEvaluationMetrics.h.

◆ GetRecall()

double Aws::Comprehend::Model::EntityRecognizerEvaluationMetrics::GetRecall ( ) const
inline

A measure of how complete the recognizer results are for the test data. High recall means that the recognizer returned most of the relevant results.

Definition at line 72 of file EntityRecognizerEvaluationMetrics.h.

◆ Jsonize()

Aws::Utils::Json::JsonValue Aws::Comprehend::Model::EntityRecognizerEvaluationMetrics::Jsonize ( ) const

◆ operator=()

EntityRecognizerEvaluationMetrics& Aws::Comprehend::Model::EntityRecognizerEvaluationMetrics::operator= ( Aws::Utils::Json::JsonView  jsonValue)

◆ PrecisionHasBeenSet()

bool Aws::Comprehend::Model::EntityRecognizerEvaluationMetrics::PrecisionHasBeenSet ( ) const
inline

A measure of the usefulness of the recognizer results in the test data. High precision means that the recognizer returned substantially more relevant results than irrelevant ones.

Definition at line 51 of file EntityRecognizerEvaluationMetrics.h.

◆ RecallHasBeenSet()

bool Aws::Comprehend::Model::EntityRecognizerEvaluationMetrics::RecallHasBeenSet ( ) const
inline

A measure of how complete the recognizer results are for the test data. High recall means that the recognizer returned most of the relevant results.

Definition at line 78 of file EntityRecognizerEvaluationMetrics.h.

◆ SetF1Score()

void Aws::Comprehend::Model::EntityRecognizerEvaluationMetrics::SetF1Score ( double  value)
inline

A measure of how accurate the recognizer results are for the test data. It is derived from the Precision and Recall values. The F1Score is the harmonic average of the two scores. The highest score is 1, and the worst score is 0.

Definition at line 115 of file EntityRecognizerEvaluationMetrics.h.

◆ SetPrecision()

void Aws::Comprehend::Model::EntityRecognizerEvaluationMetrics::SetPrecision ( double  value)
inline

A measure of the usefulness of the recognizer results in the test data. High precision means that the recognizer returned substantially more relevant results than irrelevant ones.

Definition at line 58 of file EntityRecognizerEvaluationMetrics.h.

◆ SetRecall()

void Aws::Comprehend::Model::EntityRecognizerEvaluationMetrics::SetRecall ( double  value)
inline

A measure of how complete the recognizer results are for the test data. High recall means that the recognizer returned most of the relevant results.

Definition at line 84 of file EntityRecognizerEvaluationMetrics.h.

◆ WithF1Score()

EntityRecognizerEvaluationMetrics& Aws::Comprehend::Model::EntityRecognizerEvaluationMetrics::WithF1Score ( double  value)
inline

A measure of how accurate the recognizer results are for the test data. It is derived from the Precision and Recall values. The F1Score is the harmonic average of the two scores. The highest score is 1, and the worst score is 0.

Definition at line 123 of file EntityRecognizerEvaluationMetrics.h.

◆ WithPrecision()

EntityRecognizerEvaluationMetrics& Aws::Comprehend::Model::EntityRecognizerEvaluationMetrics::WithPrecision ( double  value)
inline

A measure of the usefulness of the recognizer results in the test data. High precision means that the recognizer returned substantially more relevant results than irrelevant ones.

Definition at line 65 of file EntityRecognizerEvaluationMetrics.h.

◆ WithRecall()

EntityRecognizerEvaluationMetrics& Aws::Comprehend::Model::EntityRecognizerEvaluationMetrics::WithRecall ( double  value)
inline

A measure of how complete the recognizer results are for the test data. High recall means that the recognizer returned most of the relevant results.

Definition at line 90 of file EntityRecognizerEvaluationMetrics.h.


The documentation for this class was generated from the following file: