sklears_gaussian_process::structured_kernel_interpolation

Struct SkiGprTrained

pub struct SkiGprTrained {
    pub config: StructuredKernelInterpolationGPR,
    pub grid_points: Vec<Array1<f64>>,
    pub grid_bounds: Vec<(f64, f64)>,
    pub train_interpolation_weights: Array2<f64>,
    pub grid_targets: Array1<f64>,
    pub kernel_eigenvalues: Option<Array1<f64>>,
    pub X_train: Array2<f64>,
    pub y_train: Array1<f64>,
    pub log_marginal_likelihood: f64,
    pub total_grid_size: usize,
}

Expand description

Trained SKI Gaussian process regressor

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§config: StructuredKernelInterpolationGPR

Original configuration

§grid_points: Vec<Array1<f64>>

Grid points for each dimension

§grid_bounds: Vec<(f64, f64)>

Grid bounds for each dimension

§train_interpolation_weights: Array2<f64>

Interpolation weights for training data

§grid_targets: Array1<f64>

Training targets projected onto grid

§kernel_eigenvalues: Option<Array1<f64>>

Kernel matrix eigenvalues (for Toeplitz structure)

§X_train: Array2<f64>

Training data (for predictions)

§y_train: Array1<f64>

Training targets

§log_marginal_likelihood: f64

Log marginal likelihood

§total_grid_size: usize

Grid size per dimension

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impl SkiGprTrained

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pub fn predict_with_uncertainty( &self, X: &ArrayView2<'_, f64>, ) -> SklResult<(Array1<f64>, Array1<f64>)>

Predict with uncertainty quantification

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pub fn approximation_info(&self) -> SklResult<SkiApproximationInfo>

Get approximation quality information

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pub fn log_marginal_likelihood(&self) -> f64

Get log marginal likelihood

Trait Implementations§

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impl Clone for SkiGprTrained

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fn clone(&self) -> SkiGprTrained

Returns a duplicate of the value. Read more

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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more

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impl Debug for SkiGprTrained

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more

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impl Fit<ArrayBase<ViewRepr<&f64>, Dim<[usize; 2]>>, ArrayBase<ViewRepr<&f64>, Dim<[usize; 1]>>, SkiGprTrained> for StructuredKernelInterpolationGPR

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type Fitted = SkiGprTrained

The fitted model type

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fn fit( self, X: &ArrayView2<'_, f64>, y: &ArrayView1<'_, f64>, ) -> SklResult<SkiGprTrained>

Fit the model to the provided data with validation

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fn fit_with_validation( self, x: &X, y: &Y, _x_val: Option<&X>, _y_val: Option<&Y>, ) -> Result<(Self::Fitted, FitMetrics), SklearsError>
where Self: Sized,

Fit with custom validation and early stopping

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impl Predict<ArrayBase<ViewRepr<&f64>, Dim<[usize; 2]>>, ArrayBase<OwnedRepr<f64>, Dim<[usize; 1]>>> for SkiGprTrained

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fn predict(&self, X: &ArrayView2<'_, f64>) -> SklResult<Array1<f64>>

Make predictions on the provided data

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fn predict_with_uncertainty( &self, x: &X, ) -> Result<(Output, UncertaintyMeasure), SklearsError>

Make predictions with confidence intervals

Auto Trait Implementations§

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impl !UnwindSafe for SkiGprTrained

Blanket Implementations§

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impl<T> Any for T
where T: 'static + ?Sized,

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fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more

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impl<T> Borrow<T> for T
where T: ?Sized,

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fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more

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impl<T> BorrowMut<T> for T
where T: ?Sized,

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fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more

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impl<T> CloneToUninit for T
where T: Clone,

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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)

Performs copy-assignment from self to dest. Read more

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impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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impl<T, U> Into for T
where U: From<T>,

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fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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impl<T> IntoEither for T

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fn into_either(self, into_left: bool) -> Either<Self, Self>

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

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fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
where F: FnOnce(&Self) -> bool,

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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