google_bigquery_api::ArimaFittingMetrics Class Reference

#include <arima_fitting_metrics.h>

Inheritance diagram for google_bigquery_api::ArimaFittingMetrics:

Public Member Functions
	ArimaFittingMetrics (const Json::Value &storage)
	ArimaFittingMetrics (Json::Value *storage)
virtual	~ArimaFittingMetrics ()
const StringPiece	GetTypeName () const
bool	has_aic () const
void	clear_aic ()
double	get_aic () const
void	set_aic (double value)
bool	has_log_likelihood () const
void	clear_log_likelihood ()
double	get_log_likelihood () const
void	set_log_likelihood (double value)
bool	has_variance () const
void	clear_variance ()
double	get_variance () const
void	set_variance (double value)

Static Public Member Functions
static ArimaFittingMetrics *	New ()

Detailed Description

ARIMA model fitting metrics.

Constructor & Destructor Documentation

ArimaFittingMetrics() [1/2]

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

explicit

Standard constructor for an immutable data object instance.

Parameters

[in]

storage

The underlying data storage for this instance.

ArimaFittingMetrics() [2/2]

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

explicit

Standard constructor for a mutable data object instance.

Parameters

[in]

storage

The underlying data storage for this instance.

~ArimaFittingMetrics()

google_bigquery_api::ArimaFittingMetrics::~ArimaFittingMetrics ( )

virtual

Standard destructor.

Member Function Documentation

clear_aic()

void google_bigquery_api::ArimaFittingMetrics::clear_aic ( )

inline

Clears the 'aic' attribute.

clear_log_likelihood()

void google_bigquery_api::ArimaFittingMetrics::clear_log_likelihood ( )

inline

Clears the 'logLikelihood' attribute.

clear_variance()

void google_bigquery_api::ArimaFittingMetrics::clear_variance ( )

inline

Clears the 'variance' attribute.

get_aic()

double google_bigquery_api::ArimaFittingMetrics::get_aic ( ) const

inline

Get the value of the 'aic' attribute.

get_log_likelihood()

double google_bigquery_api::ArimaFittingMetrics::get_log_likelihood ( ) const

inline

Get the value of the 'logLikelihood' attribute.

get_variance()

double google_bigquery_api::ArimaFittingMetrics::get_variance ( ) const

inline

Get the value of the 'variance' attribute.

GetTypeName()

const StringPiece google_bigquery_api::ArimaFittingMetrics::GetTypeName ( ) const

inline

Returns a string denoting the type of this data object.

Returns

google_bigquery_api::ArimaFittingMetrics

has_aic()

bool google_bigquery_api::ArimaFittingMetrics::has_aic ( ) const

inline

Determine if the 'aic' attribute was set.

Returns

true if the 'aic' attribute was set.

has_log_likelihood()

bool google_bigquery_api::ArimaFittingMetrics::has_log_likelihood ( ) const

inline

Determine if the 'logLikelihood' attribute was set.

Returns

true if the 'logLikelihood' attribute was set.

has_variance()

bool google_bigquery_api::ArimaFittingMetrics::has_variance ( ) const

inline

Determine if the 'variance' attribute was set.

Returns

true if the 'variance' attribute was set.

New()

ArimaFittingMetrics * google_bigquery_api::ArimaFittingMetrics::New ( )

static

Creates a new default instance.

Returns

Ownership is passed back to the caller.

set_aic()

void google_bigquery_api::ArimaFittingMetrics::set_aic ( double  value )

inline

Change the 'aic' attribute.

AIC.

Parameters

[in]

value

The new value.

set_log_likelihood()

void google_bigquery_api::ArimaFittingMetrics::set_log_likelihood ( double  value )

inline

Change the 'logLikelihood' attribute.

log-likelihood.

Parameters

[in]

value

The new value.

set_variance()

void google_bigquery_api::ArimaFittingMetrics::set_variance ( double  value )

inline

Change the 'variance' attribute.

variance.

Parameters

[in]

value

The new value.

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

• google/bigquery_api/arima_fitting_metrics.h
• google/bigquery_api/arima_fitting_metrics.cc