Struct opensrdk_probability::distribution::independent_value_array_joint::IndependentValueArrayJoint
source · pub struct IndependentValueArrayJoint<D, T, U>where
D: Distribution<Value = T, Condition = U>,
T: RandomVariable,
U: RandomVariable,{ /* private fields */ }Expand description
p(x|a) = Π p(xi|a)
Trait Implementations
sourceimpl<D, T, U, Rhs, URhs> BitAnd<Rhs> for IndependentValueArrayJoint<D, T, U>where
D: Distribution<Value = T, Condition = U>,
T: RandomVariable,
U: RandomVariable,
Rhs: Distribution<Value = U, Condition = URhs>,
URhs: RandomVariable,
impl<D, T, U, Rhs, URhs> BitAnd<Rhs> for IndependentValueArrayJoint<D, T, U>where
D: Distribution<Value = T, Condition = U>,
T: RandomVariable,
U: RandomVariable,
Rhs: Distribution<Value = U, Condition = URhs>,
URhs: RandomVariable,
type Output = DependentJoint<IndependentValueArrayJoint<D, T, U>, Rhs, Vec<T, Global>, U, URhs>
type Output = DependentJoint<IndependentValueArrayJoint<D, T, U>, Rhs, Vec<T, Global>, U, URhs>
The resulting type after applying the
& operator.sourceimpl<D: Clone, T: Clone, U: Clone> Clone for IndependentValueArrayJoint<D, T, U>where
D: Distribution<Value = T, Condition = U>,
T: RandomVariable,
U: RandomVariable,
impl<D: Clone, T: Clone, U: Clone> Clone for IndependentValueArrayJoint<D, T, U>where
D: Distribution<Value = T, Condition = U>,
T: RandomVariable,
U: RandomVariable,
sourcefn clone(&self) -> IndependentValueArrayJoint<D, T, U>
fn clone(&self) -> IndependentValueArrayJoint<D, T, U>
Returns a copy of the value. Read more
1.0.0 · sourcefn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source. Read moresourceimpl<D, T, U> ConditionDifferentiableDistribution for IndependentValueArrayJoint<D, T, U>where
D: Distribution<Value = T, Condition = U> + ConditionDifferentiableDistribution,
T: RandomVariable,
U: RandomVariable,
impl<D, T, U> ConditionDifferentiableDistribution for IndependentValueArrayJoint<D, T, U>where
D: Distribution<Value = T, Condition = U> + ConditionDifferentiableDistribution,
T: RandomVariable,
U: RandomVariable,
fn ln_diff_condition(
&self,
x: &Self::Value,
theta: &Self::Condition
) -> Result<Vec<f64>, DistributionError>
sourceimpl<D: Debug, T: Debug, U: Debug> Debug for IndependentValueArrayJoint<D, T, U>where
D: Distribution<Value = T, Condition = U>,
T: RandomVariable,
U: RandomVariable,
impl<D: Debug, T: Debug, U: Debug> Debug for IndependentValueArrayJoint<D, T, U>where
D: Distribution<Value = T, Condition = U>,
T: RandomVariable,
U: RandomVariable,
sourceimpl<D, T, U> Distribution for IndependentValueArrayJoint<D, T, U>where
D: Distribution<Value = T, Condition = U>,
T: RandomVariable,
U: RandomVariable,
impl<D, T, U> Distribution for IndependentValueArrayJoint<D, T, U>where
D: Distribution<Value = T, Condition = U>,
T: RandomVariable,
U: RandomVariable,
sourceimpl<D, T, U, Rhs, TRhs> Mul<Rhs> for IndependentValueArrayJoint<D, T, U>where
D: Distribution<Value = T, Condition = U>,
T: RandomVariable,
U: RandomVariable,
Rhs: Distribution<Value = TRhs, Condition = U>,
TRhs: RandomVariable,
impl<D, T, U, Rhs, TRhs> Mul<Rhs> for IndependentValueArrayJoint<D, T, U>where
D: Distribution<Value = T, Condition = U>,
T: RandomVariable,
U: RandomVariable,
Rhs: Distribution<Value = TRhs, Condition = U>,
TRhs: RandomVariable,
type Output = IndependentJoint<IndependentValueArrayJoint<D, T, U>, Rhs, Vec<T, Global>, TRhs, U>
type Output = IndependentJoint<IndependentValueArrayJoint<D, T, U>, Rhs, Vec<T, Global>, TRhs, U>
The resulting type after applying the
* operator.sourceimpl<D, T, U> SampleableDistribution for IndependentValueArrayJoint<D, T, U>where
D: SampleableDistribution<Value = T, Condition = U>,
T: RandomVariable,
U: RandomVariable,
impl<D, T, U> SampleableDistribution for IndependentValueArrayJoint<D, T, U>where
D: SampleableDistribution<Value = T, Condition = U>,
T: RandomVariable,
U: RandomVariable,
sourceimpl<D, T, U> ValueDifferentiableDistribution for IndependentValueArrayJoint<D, T, U>where
D: Distribution<Value = T, Condition = U> + ValueDifferentiableDistribution,
T: RandomVariable,
U: RandomVariable,
impl<D, T, U> ValueDifferentiableDistribution for IndependentValueArrayJoint<D, T, U>where
D: Distribution<Value = T, Condition = U> + ValueDifferentiableDistribution,
T: RandomVariable,
U: RandomVariable,
fn ln_diff_value(
&self,
x: &Self::Value,
theta: &Self::Condition
) -> Result<Vec<f64>, DistributionError>
Auto Trait Implementations
impl<D, T, U> RefUnwindSafe for IndependentValueArrayJoint<D, T, U>where
D: RefUnwindSafe,
impl<D, T, U> Send for IndependentValueArrayJoint<D, T, U>
impl<D, T, U> Sync for IndependentValueArrayJoint<D, T, U>
impl<D, T, U> Unpin for IndependentValueArrayJoint<D, T, U>where
D: Unpin,
impl<D, T, U> UnwindSafe for IndependentValueArrayJoint<D, T, U>where
D: UnwindSafe,
Blanket Implementations
sourceimpl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
const: unstable · sourcefn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more