Struct AnalyticsConfig 

pub struct AnalyticsConfig {
    pub default_forecast_model: String,
    pub default_anomaly_method: String,
    pub default_confidence_level: f64,
    pub max_forecast_horizon: usize,
    pub max_training_points: usize,
    pub default_anomaly_threshold: f64,
}

Analytics engine configuration (forecasting, anomaly detection, preprocessing).

Configurable via TOML under the [analytics] section.

Fields

default_forecast_model: String

Default forecast model name (one of: ses, holt, holt_winters, arima, sarima, linear_regression).

default_anomaly_method: String

Default anomaly detection method (one of: zscore, modified_zscore, iqr, forecast_residual, moving_average, dynamic_threshold).

default_confidence_level: f64

Default confidence level for prediction intervals.

max_forecast_horizon: usize

Maximum forecast horizon in data points.

max_training_points: usize

Maximum number of training points fed to a model.

default_anomaly_threshold: f64

Default anomaly detection threshold (standard deviations).

Trait Implementations

impl Clone for AnalyticsConfig

fn clone(&self) -> AnalyticsConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for AnalyticsConfig

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

Formats the value using the given formatter.

impl Default for AnalyticsConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for AnalyticsConfig

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for AnalyticsConfig

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

where __S: Serializer,

Serialize this value into the given Serde serializer.