[−][src]Trait liblinear::LibLinearProblem

pub trait LibLinearProblem: Clone {
    fn source_features(&self) -> &[Vec<FeatureNode>];
    fn target_values(&self) -> &[f64];
    fn bias(&self) -> f64;
}

Represents a one-to-one mapping of source features to target values.

Source features are represented as sparse vectors of real numbers. Target values are either integers (in classification) or real numbers (in regression).

Required methods

`fn source_features(&self) -> &[Vec<FeatureNode>]`

The feature vectors of each training instance.

`fn target_values(&self) -> &[f64]`

Target labels/values of each training instance.

`fn bias(&self) -> f64`

Bias of the input data.

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Implementors

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