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pub use ndarray::{Array, ArrayBase, Ix, Ix2, Data};

pub type Matrix<T> = Array<T, (Ix, Ix)>;
pub type Vector<T> = Array<T, Ix>;


pub trait NonParametricModel {
    type Input;
    type O;
    fn reduction(&mut self, inputs: &[Self::Input]) -> Matrix<Self::O>;
}

pub trait ParametricModel {
    type Input;
    type Output;
    fn train(inputs: &[Self::Input]);
    fn predict(input: &Self::Input) -> Self::Output;
}