Struct CausalInference 

pub struct CausalInference<'a, E> { /* private fields */ }

A causal inference engine.

Implementations

impl<'a, E> CausalInference<'a, E>

pub fn new(engine: &'a E) -> Self

Create a new causal inference engine.

Arguments

• engine - The underlying inference engine.

Returns

The causal inference engine.

Trait Implementations

impl<E> BNCausalInference<CatBN> for CausalInference<'_, E>

where E: Modelled<CatBN> + BNInference<CatBN>,

fn cace_estimate( &self, x: &Set<usize>, y: &Set<usize>, z: &Set<usize>, ) -> Option<<CatBN as BN>::CPD>

Estimate the conditional average causal effect of X on Y given Z as E(Y | do(X), Z).

fn ace_estimate(&self, x: &Set<usize>, y: &Set<usize>) -> Option<T::CPD>

Estimate the average causal effect of X on Y as E(Y | do(X)).

impl<E> BNCausalInference<GaussBN> for CausalInference<'_, E>

where E: Modelled<GaussBN> + BNInference<GaussBN>,

fn cace_estimate( &self, x: &Set<usize>, y: &Set<usize>, z: &Set<usize>, ) -> Option<<GaussBN as BN>::CPD>

Estimate the conditional average causal effect of X on Y given Z as E(Y | do(X), Z).

fn ace_estimate(&self, x: &Set<usize>, y: &Set<usize>) -> Option<T::CPD>

Estimate the average causal effect of X on Y as E(Y | do(X)).

impl<'a, E: Clone> Clone for CausalInference<'a, E>

fn clone(&self) -> CausalInference<'a, E>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<'a, E: Debug> Debug for CausalInference<'a, E>

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

Formats the value using the given formatter.

impl<E> ParBNCausalInference<CatBN> for CausalInference<'_, E>

where E: Modelled<CatBN> + ParBNInference<CatBN>,

fn par_cace_estimate( &self, x: &Set<usize>, y: &Set<usize>, z: &Set<usize>, ) -> Option<<CatBN as BN>::CPD>

Estimate the conditional average causal effect of X on Y given Z as E(Y | do(X), Z) in parallel.

fn par_ace_estimate(&self, x: &Set<usize>, y: &Set<usize>) -> Option<T::CPD>

Estimate the average causal effect of X on Y as E(Y | do(X)) in parallel.

impl<E> ParBNCausalInference<GaussBN> for CausalInference<'_, E>

where E: Modelled<GaussBN> + ParBNInference<GaussBN>,

fn par_cace_estimate( &self, x: &Set<usize>, y: &Set<usize>, z: &Set<usize>, ) -> Option<<GaussBN as BN>::CPD>

Estimate the conditional average causal effect of X on Y given Z as E(Y | do(X), Z) in parallel.

fn par_ace_estimate(&self, x: &Set<usize>, y: &Set<usize>) -> Option<T::CPD>

Estimate the average causal effect of X on Y as E(Y | do(X)) in parallel.