Struct google_cloud_bigquery::http::model::ArimaSingleModelForecastingMetrics

pub struct ArimaSingleModelForecastingMetrics {
    pub non_seasonal_order: Option<ArimaOrder>,
    pub arima_fitting_metrics: Option<ArimaFittingMetrics>,
    pub has_drift: Option<bool>,
    pub time_series_id: Option<String>,
    pub time_series_ids: Option<Vec<String>>,
    pub seasonal_periods: Option<Vec<SeasonalPeriodType>>,
    pub has_holiday_effect: Option<bool>,
    pub has_spikes_and_dips: Option<bool>,
    pub has_step_changes: Option<bool>,
}

Fields

non_seasonal_order: Option<ArimaOrder>

Non-seasonal order.

arima_fitting_metrics: Option<ArimaFittingMetrics>

Arima fitting metrics.

has_drift: Option<bool>

Is arima model fitted with drift or not. It is always false when d is not 1.

time_series_id: Option<String>

The timeSeriesId value for this time series. It will be one of the unique values from the timeSeriesIdColumn specified during ARIMA model training. Only present when timeSeriesIdColumn training option was used.

time_series_ids: Option<Vec<String>>

The tuple of timeSeriesIds identifying this time series. It will be one of the unique tuples of values present in the timeSeriesIdColumns specified during ARIMA model training. Only present when timeSeriesIdColumns training option was used and the order of values here are same as the order of timeSeriesIdColumns.

seasonal_periods: Option<Vec<SeasonalPeriodType>>

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

has_holiday_effect: Option<bool>

If true, holiday_effect is a part of time series decomposition result.

has_spikes_and_dips: Option<bool>

If true, spikes_and_dips is a part of time series decomposition result.

has_step_changes: Option<bool>

If true, step_changes is a part of time series decomposition result.

Trait Implementations

impl Clone for ArimaSingleModelForecastingMetrics

fn clone(&self) -> ArimaSingleModelForecastingMetrics

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for ArimaSingleModelForecastingMetrics

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

Formats the value using the given formatter.

impl Default for ArimaSingleModelForecastingMetrics

fn default() -> ArimaSingleModelForecastingMetrics

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for ArimaSingleModelForecastingMetrics

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for ArimaSingleModelForecastingMetrics

fn eq(&self, other: &ArimaSingleModelForecastingMetrics) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for ArimaSingleModelForecastingMetrics

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for ArimaSingleModelForecastingMetrics