Struct ArimaSingleModelForecastingMetrics

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

Model evaluation metrics for a single ARIMA forecasting model.

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

Fields

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.

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.

non_seasonal_order: Option<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<String>

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

time_series_ids: Option<Vec<String>>

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

Trait Implementations

impl Clone for ArimaSingleModelForecastingMetrics

fn clone(&self) -> ArimaSingleModelForecastingMetrics

Returns a duplicate 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 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 Part for ArimaSingleModelForecastingMetrics