Struct google_cloud_bigquery::http::model::ArimaModelInfo
source · pub struct ArimaModelInfo {
pub non_seasonal_order: Option<ArimaOrder>,
pub arima_coefficients: Option<ArimaCoefficients>,
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_coefficients: Option<ArimaCoefficients>Arima coefficients.
arima_fitting_metrics: Option<ArimaFittingMetrics>Arima fitting metrics.
has_drift: Option<bool>Whether 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§
source§impl Clone for ArimaModelInfo
impl Clone for ArimaModelInfo
source§fn clone(&self) -> ArimaModelInfo
fn clone(&self) -> ArimaModelInfo
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source. Read moresource§impl Debug for ArimaModelInfo
impl Debug for ArimaModelInfo
source§impl Default for ArimaModelInfo
impl Default for ArimaModelInfo
source§fn default() -> ArimaModelInfo
fn default() -> ArimaModelInfo
source§impl<'de> Deserialize<'de> for ArimaModelInfo
impl<'de> Deserialize<'de> for ArimaModelInfo
source§fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where __D: Deserializer<'de>,
source§impl PartialEq<ArimaModelInfo> for ArimaModelInfo
impl PartialEq<ArimaModelInfo> for ArimaModelInfo
source§fn eq(&self, other: &ArimaModelInfo) -> bool
fn eq(&self, other: &ArimaModelInfo) -> bool
self and other values to be equal, and is used
by ==.source§impl Serialize for ArimaModelInfo
impl Serialize for ArimaModelInfo
impl StructuralPartialEq for ArimaModelInfo
Auto Trait Implementations§
impl RefUnwindSafe for ArimaModelInfo
impl Send for ArimaModelInfo
impl Sync for ArimaModelInfo
impl Unpin for ArimaModelInfo
impl UnwindSafe for ArimaModelInfo
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
source§impl<T> Instrument for T
impl<T> Instrument for T
source§fn instrument(self, span: Span) -> Instrumented<Self>
fn instrument(self, span: Span) -> Instrumented<Self>
source§fn in_current_span(self) -> Instrumented<Self>
fn in_current_span(self) -> Instrumented<Self>
source§impl<T> IntoRequest<T> for T
impl<T> IntoRequest<T> for T
source§fn into_request(self) -> Request<T>
fn into_request(self) -> Request<T>
T in a tonic::Request