Struct opensrdk_probability::distribution::conditioned::ConditionedDistribution

pub struct ConditionedDistribution<D, T, U1, U2, F>where
    D: Distribution<Value = T, Condition = U1>,
    T: RandomVariable,
    U1: Event,
    U2: Event,
    F: Fn(&U2) -> Result<U1, DistributionError> + Clone + Send + Sync,{ /* private fields */ }

Implementations

impl<D, T, U1, U2, F> ConditionedDistribution<D, T, U1, U2, F>where
D: Distribution<Value = T, Condition = U1>,
T: RandomVariable,
U1: Event,
U2: Event,
F: Fn(&U2) -> Result<U1, DistributionError> + Clone + Send + Sync,

pub fn new(distribution: D, condition: F) -> Self

Trait Implementations

impl<D, T, U1, U2, Rhs, URhs, F> BitAnd<Rhs> for ConditionedDistribution<D, T, U1, U2, F>where
D: Distribution<Value = T, Condition = U1>,
T: RandomVariable,
U1: Event,
U2: Event,
Rhs: Distribution<Value = U2, Condition = URhs>,
URhs: RandomVariable,
F: Fn(&U2) -> Result<U1, DistributionError> + Clone + Send + Sync,

type Output = DependentJoint<ConditionedDistribution<D, T, U1, U2, F>, Rhs, T, U2, URhs>

The resulting type after applying the & operator.

fn bitand(self, rhs: Rhs) -> Self::Output

Performs the & operation.

impl<D, T, U1, U2, F> Clone for ConditionedDistribution<D, T, U1, U2, F>where
D: Distribution<Value = T, Condition = U1> + Clone,
T: RandomVariable + Clone,
U1: Event + Clone,
U2: Event + Clone,
F: Fn(&U2) -> Result<U1, DistributionError> + Clone + Send + Sync + Clone,

fn clone(&self) -> ConditionedDistribution<D, T, U1, U2, F>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<D, T, U1, U2, F> Debug for ConditionedDistribution<D, T, U1, U2, F>where
D: Distribution<Value = T, Condition = U1>,
T: RandomVariable,
U1: Event,
U2: Event,
F: Fn(&U2) -> Result<U1, DistributionError> + Clone + Send + Sync,

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

Formats the value using the given formatter.

impl<D, T, U1, U2, F> Distribution for ConditionedDistribution<D, T, U1, U2, F>where
D: Distribution<Value = T, Condition = U1>,
T: RandomVariable,
U1: Event,
U2: Event,
F: Fn(&U2) -> Result<U1, DistributionError> + Clone + Send + Sync,

type Value = T

type Condition = U2

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

impl<D, T, U1, U2, Rhs, TRhs, F> Mul<Rhs> for ConditionedDistribution<D, T, U1, U2, F>where
D: Distribution<Value = T, Condition = U1>,
T: RandomVariable,
U1: Event,
U2: Event,
Rhs: Distribution<Value = TRhs, Condition = U2>,
TRhs: RandomVariable,
F: Fn(&U2) -> Result<U1, DistributionError> + Clone + Send + Sync,

type Output = IndependentJoint<ConditionedDistribution<D, T, U1, U2, F>, Rhs, T, TRhs, U2>

The resulting type after applying the * operator.

fn mul(self, rhs: Rhs) -> Self::Output

Performs the * operation.

impl<D, T, U1, U2, F> SampleableDistribution for ConditionedDistribution<D, T, U1, U2, F>where
D: SampleableDistribution<Value = T, Condition = U1>,
T: RandomVariable,
U1: Event,
U2: Event,
F: Fn(&U2) -> Result<U1, DistributionError> + Clone + Send + Sync,

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

impl<D, T, U1, U2, F> ValueDifferentiableDistribution for ConditionedDistribution<D, T, U1, U2, F>where
D: Distribution<Value = T, Condition = U1> + ValueDifferentiableDistribution,
T: RandomVariable,
U1: Event,
U2: Event,
F: Fn(&U2) -> Result<U1, DistributionError> + Clone + Send + Sync,

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