Struct ElasticMultinomialResult 

#[non_exhaustive]
pub struct ElasticMultinomialResult {
    pub n_classes: usize,
    pub classes: Vec<usize>,
    pub class_models: Vec<ElasticLogisticResult>,
    pub train_probabilities: FdMatrix,
    pub predicted_classes: Vec<usize>,
    pub train_accuracy: f64,
}

Result of elastic multinomial logistic regression (one-vs-rest, K ≥ 2 classes).

Each field corresponds to the joint outcome of fitting K binary ElasticLogisticResult models — one per class — and then normalizing the per-class sigmoid outputs to produce class posteriors.

Probability convention

train_probabilities is an n × K matrix whose row i is the row-normalised vector of OvR sigmoid scores, so each row sums to 1. Predicted labels are the per-row argmax mapped through classes.

K = 2 agreement

When K = 2, the predicted labels agree with the binary elastic_logistic on separable data (the OvR construction reduces to the binary case).

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

n_classes: usize

Number of classes K.

classes: Vec<usize>

Sorted distinct class labels (always 0..K).

class_models: Vec<ElasticLogisticResult>

One OvR binary model per class, length K.

train_probabilities: FdMatrix

Row-normalised OvR probabilities (n × K); each row sums to 1.

predicted_classes: Vec<usize>

Predicted class labels for training data, length n.

train_accuracy: f64

Fraction of training curves correctly classified.

Implementations

impl ElasticMultinomialResult

pub fn predict(&self, new_data: &FdMatrix, argvals: &[f64]) -> Vec<usize>

Predict class labels for new data. Delegates to predict_elastic_multinomial.

Trait Implementations

impl Clone for ElasticMultinomialResult

fn clone(&self) -> ElasticMultinomialResult

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ElasticMultinomialResult

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

Formats the value using the given formatter.

impl PartialEq for ElasticMultinomialResult

fn eq(&self, other: &ElasticMultinomialResult) -> bool

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl StructuralPartialEq for ElasticMultinomialResult