sklears_kernel_approximation::sparse_gp::ski

Struct TensorSKI

pub struct TensorSKI<K: SparseKernel> {
    pub grid_sizes: Vec<usize>,
    pub kernel: K,
    pub noise_variance: f64,
    pub use_kronecker: bool,
}

Expand description

Multi-dimensional SKI with tensor structure

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§grid_sizes: Vec<usize>

Grid sizes for each dimension

§kernel: K

Kernel function

§noise_variance: f64

Noise variance

§use_kronecker: bool

Whether to use Kronecker structure

Implementations§

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impl<K: SparseKernel> TensorSKI<K>

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pub fn new(grid_sizes: Vec<usize>, kernel: K) -> Self

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pub fn fit_tensor( &self, x: &Array2<f64>, _y: &Array1<f64>, ) -> Result<FittedTensorSKI<K>>

Fit tensor SKI with full Kronecker structure

Auto Trait Implementations§

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impl<K> UnwindSafe for TensorSKI<K>
where K: UnwindSafe,

Blanket Implementations§

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where T: 'static + ?Sized,

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Converts self into a Left variant of Either<Self, Self> if into_left(&self) returns true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more

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