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KMeans

iris::ml

Struct KMeans 

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pub struct KMeans<B: Backend> {
    pub k: usize,
    pub max_iter: usize,
    pub centroids: Option<Tensor<B, 2>>,
}
Expand description

Classical Machine Learning algorithms powered by Burn.

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§k: usize§max_iter: usize§centroids: Option<Tensor<B, 2>>

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impl<B: Backend> KMeans<B>

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pub fn new(k: usize, max_iter: usize) -> Self

Creates a new KMeans model.

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pub fn fit(&mut self, data: &Tensor<B, 2>) -> Result<()>

Fits K-Means on the input data of shape [N, D] (N samples, D features).

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pub fn predict(&self, data: &Tensor<B, 2>) -> Result<Tensor<B, 1, Int>>

Predicts closest cluster assignments for inputs of shape [N, D].

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