Struct DataDriftDetector 

pub struct DataDriftDetector { /* private fields */ }

Detects drift on tabular feature matrices.

Computes both KS and PSI per feature column. The reported score is the max over features of max(KS_D, PSI / 0.25) so a single threshold of 0.25 lines up with the standard PSI table.

Implementations

impl DataDriftDetector

pub fn new(config: DataDriftConfig) -> Self

Construct a detector from a custom config.

pub fn detect( &self, baseline: &ArrayView2<'_, f64>, current: &ArrayView2<'_, f64>, ) -> Result<DriftScore>

Compute drift between two (n_samples, n_features) matrices.

Trait Implementations

impl Clone for DataDriftDetector

fn clone(&self) -> DataDriftDetector

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DataDriftDetector

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

Formats the value using the given formatter.

impl Default for DataDriftDetector

fn default() -> DataDriftDetector

Returns the “default value” for a type.

impl Copy for DataDriftDetector