google_bigquery_api::RegressionMetrics Class Reference

#include <regression_metrics.h>

Inheritance diagram for google_bigquery_api::RegressionMetrics:

Public Member Functions
	RegressionMetrics (const Json::Value &storage)
	RegressionMetrics (Json::Value *storage)
virtual	~RegressionMetrics ()
const StringPiece	GetTypeName () const
bool	has_mean_absolute_error () const
void	clear_mean_absolute_error ()
double	get_mean_absolute_error () const
void	set_mean_absolute_error (double value)
bool	has_mean_squared_error () const
void	clear_mean_squared_error ()
double	get_mean_squared_error () const
void	set_mean_squared_error (double value)
bool	has_mean_squared_log_error () const
void	clear_mean_squared_log_error ()
double	get_mean_squared_log_error () const
void	set_mean_squared_log_error (double value)
bool	has_median_absolute_error () const
void	clear_median_absolute_error ()
double	get_median_absolute_error () const
void	set_median_absolute_error (double value)
bool	has_r_squared () const
void	clear_r_squared ()
double	get_r_squared () const
void	set_r_squared (double value)

Static Public Member Functions
static RegressionMetrics *	New ()

Detailed Description

Evaluation metrics for regression and explicit feedback type matrix factorization models.

Constructor & Destructor Documentation

RegressionMetrics() [1/2]

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

explicit

Standard constructor for an immutable data object instance.

Parameters

[in]

storage

The underlying data storage for this instance.

RegressionMetrics() [2/2]

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

explicit

Standard constructor for a mutable data object instance.

Parameters

[in]

storage

The underlying data storage for this instance.

~RegressionMetrics()

google_bigquery_api::RegressionMetrics::~RegressionMetrics ( )

virtual

Standard destructor.

Member Function Documentation

clear_mean_absolute_error()

void google_bigquery_api::RegressionMetrics::clear_mean_absolute_error ( )

inline

Clears the 'meanAbsoluteError' attribute.

clear_mean_squared_error()

void google_bigquery_api::RegressionMetrics::clear_mean_squared_error ( )

inline

Clears the 'meanSquaredError' attribute.

clear_mean_squared_log_error()

void google_bigquery_api::RegressionMetrics::clear_mean_squared_log_error ( )

inline

Clears the 'meanSquaredLogError' attribute.

clear_median_absolute_error()

void google_bigquery_api::RegressionMetrics::clear_median_absolute_error ( )

inline

Clears the 'medianAbsoluteError' attribute.

clear_r_squared()

void google_bigquery_api::RegressionMetrics::clear_r_squared ( )

inline

Clears the 'rSquared' attribute.

get_mean_absolute_error()

double google_bigquery_api::RegressionMetrics::get_mean_absolute_error ( ) const

inline

Get the value of the 'meanAbsoluteError' attribute.

get_mean_squared_error()

double google_bigquery_api::RegressionMetrics::get_mean_squared_error ( ) const

inline

Get the value of the 'meanSquaredError' attribute.

get_mean_squared_log_error()

double google_bigquery_api::RegressionMetrics::get_mean_squared_log_error ( ) const

inline

Get the value of the 'meanSquaredLogError' attribute.

get_median_absolute_error()

double google_bigquery_api::RegressionMetrics::get_median_absolute_error ( ) const

inline

Get the value of the 'medianAbsoluteError' attribute.

get_r_squared()

double google_bigquery_api::RegressionMetrics::get_r_squared ( ) const

inline

Get the value of the 'rSquared' attribute.

GetTypeName()

const StringPiece google_bigquery_api::RegressionMetrics::GetTypeName ( ) const

inline

Returns a string denoting the type of this data object.

Returns

google_bigquery_api::RegressionMetrics

has_mean_absolute_error()

bool google_bigquery_api::RegressionMetrics::has_mean_absolute_error ( ) const

inline

Determine if the 'meanAbsoluteError' attribute was set.

Returns

true if the 'meanAbsoluteError' attribute was set.

has_mean_squared_error()

bool google_bigquery_api::RegressionMetrics::has_mean_squared_error ( ) const

inline

Determine if the 'meanSquaredError' attribute was set.

Returns

true if the 'meanSquaredError' attribute was set.

has_mean_squared_log_error()

bool google_bigquery_api::RegressionMetrics::has_mean_squared_log_error ( ) const

inline

Determine if the 'meanSquaredLogError' attribute was set.

Returns

true if the 'meanSquaredLogError' attribute was set.

has_median_absolute_error()

bool google_bigquery_api::RegressionMetrics::has_median_absolute_error ( ) const

inline

Determine if the 'medianAbsoluteError' attribute was set.

Returns

true if the 'medianAbsoluteError' attribute was set.

has_r_squared()

bool google_bigquery_api::RegressionMetrics::has_r_squared ( ) const

inline

Determine if the 'rSquared' attribute was set.

Returns

true if the 'rSquared' attribute was set.

New()

RegressionMetrics * google_bigquery_api::RegressionMetrics::New ( )

static

Creates a new default instance.

Returns

Ownership is passed back to the caller.

set_mean_absolute_error()

void google_bigquery_api::RegressionMetrics::set_mean_absolute_error ( double  value )

inline

Change the 'meanAbsoluteError' attribute.

Mean absolute error.

Parameters

[in]

value

The new value.

set_mean_squared_error()

void google_bigquery_api::RegressionMetrics::set_mean_squared_error ( double  value )

inline

Change the 'meanSquaredError' attribute.

Mean squared error.

Parameters

[in]

value

The new value.

set_mean_squared_log_error()

void google_bigquery_api::RegressionMetrics::set_mean_squared_log_error ( double  value )

inline

Change the 'meanSquaredLogError' attribute.

Mean squared log error.

Parameters

[in]

value

The new value.

set_median_absolute_error()

void google_bigquery_api::RegressionMetrics::set_median_absolute_error ( double  value )

inline

Change the 'medianAbsoluteError' attribute.

Median absolute error.

Parameters

[in]

value

The new value.

set_r_squared()

void google_bigquery_api::RegressionMetrics::set_r_squared ( double  value )

inline

Change the 'rSquared' attribute.

R^2 score.

Parameters

[in]

value

The new value.

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

• google/bigquery_api/regression_metrics.h
• google/bigquery_api/regression_metrics.cc