Trait light_curve_feature::FeatureEvaluator [−][src]
pub trait FeatureEvaluator<T: Float>: FeatureNamesDescriptionsTrait + EvaluatorInfoTrait + Send + Clone + Debug + Serialize + DeserializeOwned + JsonSchema {
fn eval(&self, ts: &mut TimeSeries<'_, T>) -> Result<Vec<T>, EvaluatorError>;
fn eval_or_fill(&self, ts: &mut TimeSeries<'_, T>, fill_value: T) -> Vec<T> { ... }
fn check_ts_length(
&self,
ts: &TimeSeries<'_, T>
) -> Result<usize, EvaluatorError> { ... }
}Expand description
The trait each feature should implement
Required methods
fn eval(&self, ts: &mut TimeSeries<'_, T>) -> Result<Vec<T>, EvaluatorError>
fn eval(&self, ts: &mut TimeSeries<'_, T>) -> Result<Vec<T>, EvaluatorError>
Vector of feature values or EvaluatorError
Provided methods
fn eval_or_fill(&self, ts: &mut TimeSeries<'_, T>, fill_value: T) -> Vec<T>
fn eval_or_fill(&self, ts: &mut TimeSeries<'_, T>, fill_value: T) -> Vec<T>
Returns vector of feature values and fill invalid components with given value
fn check_ts_length(
&self,
ts: &TimeSeries<'_, T>
) -> Result<usize, EvaluatorError>
fn check_ts_length(
&self,
ts: &TimeSeries<'_, T>
) -> Result<usize, EvaluatorError>
Checks if TimeSeries has enough points to evaluate the feature