Struct google_bigquery2::api::ArimaForecastingMetrics

pub struct ArimaForecastingMetrics {
    pub arima_fitting_metrics: Option<Vec<ArimaFittingMetrics>>,
    pub arima_single_model_forecasting_metrics: Option<Vec<ArimaSingleModelForecastingMetrics>>,
    pub has_drift: Option<Vec<bool>>,
    pub non_seasonal_order: Option<Vec<ArimaOrder>>,
    pub seasonal_periods: Option<Vec<String>>,
    pub time_series_id: Option<Vec<String>>,
}

Model evaluation metrics for ARIMA forecasting models.

This type is not used in any activity, and only used as part of another schema.

Fields

arima_fitting_metrics: Option<Vec<ArimaFittingMetrics>>

Arima model fitting metrics.

arima_single_model_forecasting_metrics: Option<Vec<ArimaSingleModelForecastingMetrics>>

Repeated as there can be many metric sets (one for each model) in auto-arima and the large-scale case.

has_drift: Option<Vec<bool>>

Whether Arima model fitted with drift or not. It is always false when d is not 1.

non_seasonal_order: Option<Vec<ArimaOrder>>

Non-seasonal order.

seasonal_periods: Option<Vec<String>>

Seasonal periods. Repeated because multiple periods are supported for one time series.

time_series_id: Option<Vec<String>>

Id to differentiate different time series for the large-scale case.

Trait Implementations

impl Clone for ArimaForecastingMetrics

fn clone(&self) -> ArimaForecastingMetrics

Returns a copy of the value.

pub fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for ArimaForecastingMetrics

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for ArimaForecastingMetrics

fn default() -> ArimaForecastingMetrics

Returns the "default value" for a type.

impl<'de> Deserialize<'de> for ArimaForecastingMetrics

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.

impl Part for ArimaForecastingMetrics

impl Serialize for ArimaForecastingMetrics

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where
    __S: Serializer, 

Serialize this value into the given Serde serializer.