Struct MultiSeriesContext 

pub struct MultiSeriesContext {
    pub matrix: ColumnarMatrix,
}

Time-aligned context for multi-series analysis.

Constructed by providing raw per-series data possibly at different sampling rates; the context resamples and aligns them to a common timeline.

Fields

matrix: ColumnarMatrix

Aligned columnar data matrix.

Implementations

impl MultiSeriesContext

pub fn build( series: Vec<(String, Vec<i64>, Vec<f64>)>, max_series: Option<usize>, ) -> Result<Self, MultivariateError>

Builds a context from individual series data.

Each entry in series is (id, timestamps, values). All series will be resampled to the finest common interval via linear interpolation.

max_points overrides the default resampling cap (1 000 000). Pass None to use the default.

pub fn build_with_max_points( series: Vec<(String, Vec<i64>, Vec<f64>)>, max_series: Option<usize>, max_points: Option<usize>, ) -> Result<Self, MultivariateError>

Like build but with a configurable resampling cap.

Trait Implementations

impl Clone for MultiSeriesContext

fn clone(&self) -> MultiSeriesContext

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for MultiSeriesContext

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

Formats the value using the given formatter.