Struct opensrdk_probability::nonparametric::generalized_kernel_density_estimation::GeneralizedKernelDensityEstimation

pub struct GeneralizedKernelDensityEstimation<S, A, K>where
    S: RandomVariable,
    A: RandomVariable,
    K: PositiveDefiniteKernel<Vec<f64>>,{
    pub history: Vec<(S, A)>,
    pub kernel: K,
    pub kernel_params: Vec<f64>,
}

Fields

history: Vec<(S, A)>

kernel: K

kernel_params: Vec<f64>

Implementations

impl<S, A, K> GeneralizedKernelDensityEstimation<S, A, K>where
S: RandomVariable,
A: RandomVariable,
K: PositiveDefiniteKernel<Vec<f64>>,

pub fn new(history: Vec<(S, A)>, kernel: K, kernel_params: Vec<f64>) -> Self

Trait Implementations

impl<S, A, K> Clone for GeneralizedKernelDensityEstimation<S, A, K>where
S: RandomVariable + Clone,
A: RandomVariable + Clone,
K: PositiveDefiniteKernel<Vec<f64>> + Clone,

fn clone(&self) -> GeneralizedKernelDensityEstimation<S, A, K>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<S, A, K> Debug for GeneralizedKernelDensityEstimation<S, A, K>where
S: RandomVariable + Debug,
A: RandomVariable + Debug,
K: PositiveDefiniteKernel<Vec<f64>> + Debug,

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

Formats the value using the given formatter.

impl<S, A, K> Distribution for GeneralizedKernelDensityEstimation<S, A, K>where
S: RandomVariable,
A: RandomVariable,
K: PositiveDefiniteKernel<Vec<f64>>,

type Value = A

type Condition = S

fn p_kernel(
&self,
x: &Self::Value,
theta: &Self::Condition
) -> Result<f64, DistributionError>

impl<S, A, K> SampleableDistribution for GeneralizedKernelDensityEstimation<S, A, K>where
S: RandomVariable,
A: RandomVariable,
K: PositiveDefiniteKernel<Vec<f64>>,

fn sample(
&self,
_theta: &Self::Condition,
rng: &mut dyn RngCore
) -> Result<Self::Value, DistributionError>