fleximl_models::ml::linear_model

Struct LinearModel

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pub struct LinearModel {
    pub weights: Array2<f64>,
    pub bias: Array1<f64>,
    pub learning_rate: f64,
    pub task: Task,
    pub rng: StdRng,
}

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§weights: Array2<f64>§bias: Array1<f64>§learning_rate: f64§task: Task§rng: StdRng

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impl LinearModel

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pub fn new( num_features: usize, num_classes: usize, learning_rate: f64, task: Task, seed: u64, ) -> Self

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pub fn predict(&self, x: &Array1<f64>) -> Array1<f64>

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pub fn fit(&mut self, x: &Array2<f64>, y: &Array2<f64>, epochs: usize)

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