Struct IncrementalLogisticRegression 

pub struct IncrementalLogisticRegression { /* private fields */ }

Implementations

impl IncrementalLogisticRegression

pub fn new( schedule: LearningRateSchedule, l2_penalty: f64, strategy: MulticlassStrategy, ) -> Self

pub fn strategy(&self) -> &MulticlassStrategy

Returns the multiclass strategy configured for this model.

pub fn partial_fit_labels( &mut self, batch_x: &Array2<f64>, batch_y: &Array1<usize>, ) -> Result<(), IncrementalError>

Fits a mini-batch with integer target labels (multiclass/binary).

pub fn predict_proba( &self, x: &Array2<f64>, ) -> Result<Array2<f64>, IncrementalError>

Predict class probabilities for input features.

pub fn predict_labels( &self, x: &Array2<f64>, ) -> Result<Array1<usize>, IncrementalError>

Predict discrete class labels.

Trait Implementations

impl Debug for IncrementalLogisticRegression

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

Formats the value using the given formatter.

impl IncrementalSupervisedEstimator for IncrementalLogisticRegression

fn partial_fit( &mut self, batch_x: &Array2<f64>, batch_y: &Array1<f64>, ) -> Result<(), IncrementalError>

Satisfies trait for continuous 0.0/1.0 targets in binary classification.

fn predict(&self, x: &Array2<f64>) -> Result<Array1<f64>, IncrementalError>

Predicts target values as continuous class probabilities (for binary class 1).