google_bigquery_api::BinaryConfusionMatrix Class Reference

#include <binary_confusion_matrix.h>

Inheritance diagram for google_bigquery_api::BinaryConfusionMatrix:

Public Member Functions
	BinaryConfusionMatrix (const Json::Value &storage)
	BinaryConfusionMatrix (Json::Value *storage)
virtual	~BinaryConfusionMatrix ()
const StringPiece	GetTypeName () const
bool	has_accuracy () const
void	clear_accuracy ()
double	get_accuracy () const
void	set_accuracy (double value)
bool	has_f1_score () const
void	clear_f1_score ()
double	get_f1_score () const
void	set_f1_score (double value)
bool	has_false_negatives () const
void	clear_false_negatives ()
int64	get_false_negatives () const
void	set_false_negatives (int64 value)
bool	has_false_positives () const
void	clear_false_positives ()
int64	get_false_positives () const
void	set_false_positives (int64 value)
bool	has_positive_class_threshold () const
void	clear_positive_class_threshold ()
double	get_positive_class_threshold () const
void	set_positive_class_threshold (double value)
bool	has_precision () const
void	clear_precision ()
double	get_precision () const
void	set_precision (double value)
bool	has_recall () const
void	clear_recall ()
double	get_recall () const
void	set_recall (double value)
bool	has_true_negatives () const
void	clear_true_negatives ()
int64	get_true_negatives () const
void	set_true_negatives (int64 value)
bool	has_true_positives () const
void	clear_true_positives ()
int64	get_true_positives () const
void	set_true_positives (int64 value)

Static Public Member Functions
static BinaryConfusionMatrix *	New ()

Detailed Description

Confusion matrix for binary classification models.

Constructor & Destructor Documentation

BinaryConfusionMatrix() [1/2]

google_bigquery_api::BinaryConfusionMatrix::BinaryConfusionMatrix ( const Json::Value &  storage )

explicit

Standard constructor for an immutable data object instance.

Parameters

[in]

storage

The underlying data storage for this instance.

BinaryConfusionMatrix() [2/2]

google_bigquery_api::BinaryConfusionMatrix::BinaryConfusionMatrix ( Json::Value *  storage )

explicit

Standard constructor for a mutable data object instance.

Parameters

[in]

storage

The underlying data storage for this instance.

~BinaryConfusionMatrix()

google_bigquery_api::BinaryConfusionMatrix::~BinaryConfusionMatrix ( )

virtual

Standard destructor.

Member Function Documentation

clear_accuracy()

void google_bigquery_api::BinaryConfusionMatrix::clear_accuracy ( )

inline

Clears the 'accuracy' attribute.

clear_f1_score()

void google_bigquery_api::BinaryConfusionMatrix::clear_f1_score ( )

inline

Clears the 'f1Score' attribute.

clear_false_negatives()

void google_bigquery_api::BinaryConfusionMatrix::clear_false_negatives ( )

inline

Clears the 'falseNegatives' attribute.

clear_false_positives()

void google_bigquery_api::BinaryConfusionMatrix::clear_false_positives ( )

inline

Clears the 'falsePositives' attribute.

clear_positive_class_threshold()

void google_bigquery_api::BinaryConfusionMatrix::clear_positive_class_threshold ( )

inline

Clears the 'positiveClassThreshold' attribute.

clear_precision()

void google_bigquery_api::BinaryConfusionMatrix::clear_precision ( )

inline

Clears the 'precision' attribute.

clear_recall()

void google_bigquery_api::BinaryConfusionMatrix::clear_recall ( )

inline

Clears the 'recall' attribute.

clear_true_negatives()

void google_bigquery_api::BinaryConfusionMatrix::clear_true_negatives ( )

inline

Clears the 'trueNegatives' attribute.

clear_true_positives()

void google_bigquery_api::BinaryConfusionMatrix::clear_true_positives ( )

inline

Clears the 'truePositives' attribute.

get_accuracy()

double google_bigquery_api::BinaryConfusionMatrix::get_accuracy ( ) const

inline

Get the value of the 'accuracy' attribute.

get_f1_score()

double google_bigquery_api::BinaryConfusionMatrix::get_f1_score ( ) const

inline

Get the value of the 'f1Score' attribute.

get_false_negatives()

int64 google_bigquery_api::BinaryConfusionMatrix::get_false_negatives ( ) const

inline

Get the value of the 'falseNegatives' attribute.

get_false_positives()

int64 google_bigquery_api::BinaryConfusionMatrix::get_false_positives ( ) const

inline

Get the value of the 'falsePositives' attribute.

get_positive_class_threshold()

double google_bigquery_api::BinaryConfusionMatrix::get_positive_class_threshold ( ) const

inline

Get the value of the 'positiveClassThreshold' attribute.

get_precision()

double google_bigquery_api::BinaryConfusionMatrix::get_precision ( ) const

inline

Get the value of the 'precision' attribute.

get_recall()

double google_bigquery_api::BinaryConfusionMatrix::get_recall ( ) const

inline

Get the value of the 'recall' attribute.

get_true_negatives()

int64 google_bigquery_api::BinaryConfusionMatrix::get_true_negatives ( ) const

inline

Get the value of the 'trueNegatives' attribute.

get_true_positives()

int64 google_bigquery_api::BinaryConfusionMatrix::get_true_positives ( ) const

inline

Get the value of the 'truePositives' attribute.

GetTypeName()

const StringPiece google_bigquery_api::BinaryConfusionMatrix::GetTypeName ( ) const

inline

Returns a string denoting the type of this data object.

Returns

google_bigquery_api::BinaryConfusionMatrix

has_accuracy()

bool google_bigquery_api::BinaryConfusionMatrix::has_accuracy ( ) const

inline

Determine if the 'accuracy' attribute was set.

Returns

true if the 'accuracy' attribute was set.

has_f1_score()

bool google_bigquery_api::BinaryConfusionMatrix::has_f1_score ( ) const

inline

Determine if the 'f1Score' attribute was set.

Returns

true if the 'f1Score' attribute was set.

has_false_negatives()

bool google_bigquery_api::BinaryConfusionMatrix::has_false_negatives ( ) const

inline

Determine if the 'falseNegatives' attribute was set.

Returns

true if the 'falseNegatives' attribute was set.

has_false_positives()

bool google_bigquery_api::BinaryConfusionMatrix::has_false_positives ( ) const

inline

Determine if the 'falsePositives' attribute was set.

Returns

true if the 'falsePositives' attribute was set.

has_positive_class_threshold()

bool google_bigquery_api::BinaryConfusionMatrix::has_positive_class_threshold ( ) const

inline

Determine if the 'positiveClassThreshold' attribute was set.

Returns

true if the 'positiveClassThreshold' attribute was set.

has_precision()

bool google_bigquery_api::BinaryConfusionMatrix::has_precision ( ) const

inline

Determine if the 'precision' attribute was set.

Returns

true if the 'precision' attribute was set.

has_recall()

bool google_bigquery_api::BinaryConfusionMatrix::has_recall ( ) const

inline

Determine if the 'recall' attribute was set.

Returns

true if the 'recall' attribute was set.

has_true_negatives()

bool google_bigquery_api::BinaryConfusionMatrix::has_true_negatives ( ) const

inline

Determine if the 'trueNegatives' attribute was set.

Returns

true if the 'trueNegatives' attribute was set.

has_true_positives()

bool google_bigquery_api::BinaryConfusionMatrix::has_true_positives ( ) const

inline

Determine if the 'truePositives' attribute was set.

Returns

true if the 'truePositives' attribute was set.

New()

BinaryConfusionMatrix * google_bigquery_api::BinaryConfusionMatrix::New ( )

static

Creates a new default instance.

Returns

Ownership is passed back to the caller.

set_accuracy()

void google_bigquery_api::BinaryConfusionMatrix::set_accuracy ( double  value )

inline

Change the 'accuracy' attribute.

The fraction of predictions given the correct label.

Parameters

[in]

value

The new value.

set_f1_score()

void google_bigquery_api::BinaryConfusionMatrix::set_f1_score ( double  value )

inline

Change the 'f1Score' attribute.

The equally weighted average of recall and precision.

Parameters

[in]

value

The new value.

set_false_negatives()

void google_bigquery_api::BinaryConfusionMatrix::set_false_negatives ( int64  value )

inline

Change the 'falseNegatives' attribute.

Number of false samples predicted as false.

Parameters

[in]

value

The new value.

set_false_positives()

void google_bigquery_api::BinaryConfusionMatrix::set_false_positives ( int64  value )

inline

Change the 'falsePositives' attribute.

Number of false samples predicted as true.

Parameters

[in]

value

The new value.

set_positive_class_threshold()

void google_bigquery_api::BinaryConfusionMatrix::set_positive_class_threshold ( double  value )

inline

Change the 'positiveClassThreshold' attribute.

Threshold value used when computing each of the following metric.

Parameters

[in]

value

The new value.

set_precision()

void google_bigquery_api::BinaryConfusionMatrix::set_precision ( double  value )

inline

Change the 'precision' attribute.

The fraction of actual positive predictions that had positive actual labels.

Parameters

[in]

value

The new value.

set_recall()

void google_bigquery_api::BinaryConfusionMatrix::set_recall ( double  value )

inline

Change the 'recall' attribute.

The fraction of actual positive labels that were given a positive prediction.

Parameters

[in]

value

The new value.

set_true_negatives()

void google_bigquery_api::BinaryConfusionMatrix::set_true_negatives ( int64  value )

inline

Change the 'trueNegatives' attribute.

Number of true samples predicted as false.

Parameters

[in]

value

The new value.

set_true_positives()

void google_bigquery_api::BinaryConfusionMatrix::set_true_positives ( int64  value )

inline

Change the 'truePositives' attribute.

Number of true samples predicted as true.

Parameters

[in]

value

The new value.

---

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

• google/bigquery_api/binary_confusion_matrix.h
• google/bigquery_api/binary_confusion_matrix.cc