Struct opensrdk_probability::continuous::elliptical::normal::multivariate::MultivariateNormal

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pub struct MultivariateNormal<T = ExactEllipticalParams>where
    T: EllipticalParams,{ /* private fields */ }

Expand description

Multivariate normal distribution

Implementations

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impl<T> MultivariateNormal<T>where
T: EllipticalParams,

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pub fn new() -> Self

Trait Implementations

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impl<T, Rhs, URhs> BitAnd<Rhs> for MultivariateNormal<T>where
 T: EllipticalParams,
 Rhs: Distribution<Value = T, Condition = URhs>,
 URhs: RandomVariable,

type Output = DependentJoint<MultivariateNormal<T>, Rhs, Vec<f64, Global>, T, URhs>

The resulting type after applying the & operator.

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

Performs the & operation. Read more

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impl<T: Clone> Clone for MultivariateNormal<T>where
T: EllipticalParams,

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fn clone(&self) -> MultivariateNormal<T>

Returns a copy 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 ConditionDifferentiableDistribution for MultivariateNormal

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

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impl<T: Debug> Debug for MultivariateNormal<T>where
T: EllipticalParams,

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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<T> Distribution for MultivariateNormal<T>where
T: EllipticalParams,

type Value = Vec<f64, Global>

type Condition = T

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

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impl<T, Rhs, TRhs> Mul<Rhs> for MultivariateNormal<T>where
 T: EllipticalParams,
 Rhs: Distribution<Value = TRhs, Condition = T>,
 TRhs: RandomVariable,

type Output = IndependentJoint<MultivariateNormal<T>, Rhs, Vec<f64, Global>, TRhs, T>

The resulting type after applying the * operator.

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

Performs the * operation. Read more

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impl SampleableDistribution for MultivariateNormal

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

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impl ValueDifferentiableDistribution for MultivariateNormal

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

Auto Trait Implementations

impl<T> RefUnwindSafe for MultivariateNormal<T>where
T: RefUnwindSafe,

impl<T> Send for MultivariateNormal<T>

impl<T> Sync for MultivariateNormal<T>

impl<T> Unpin for MultivariateNormal<T>where
T: Unpin,

impl<T> UnwindSafe for MultivariateNormal<T>where
T: UnwindSafe,

Blanket Implementations

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impl<T> Any for Twhere
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 Twhere
T: ?Sized,

const: unstable · source

fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more

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

const: unstable · source

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

Mutably borrows from an owned value. Read more

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impl<D, T, U1> ConditionableDistribution for Dwhere
 D: Distribution<Value = T, Condition = U1>,
 T: RandomVariable,
 U1: Event,

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fn condition<U2, F>(
 self,
 condition: F
) -> ConditionedDistribution<D, <D as Distribution>::Value, <D as Distribution>::Condition, U2, F>where
 U2: Event,
 F: Fn(&U2) -> Result<<D as Distribution>::Condition, DistributionError> + Clone + Send + Sync,

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impl<T> From<T> for T

const: unstable · source

fn from(t: T) -> T

Returns the argument unchanged.

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

const: unstable · source

fn into(self) -> U

Calls U::from(self).

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

impl<T> Pointable for T

const ALIGN: usize = mem::align_of::<T>()

The alignment of pointer.

type Init = T

The type for initializers.

unsafe fn init(init: <T as Pointable>::Init) -> usize

Initializes a with the given initializer. Read more

unsafe fn deref<'a>(ptr: usize) -> &'a T

Dereferences the given pointer. Read more

unsafe fn deref_mut<'a>(ptr: usize) -> &'a mut T

Mutably dereferences the given pointer. Read more

unsafe fn drop(ptr: usize)

Drops the object pointed to by the given pointer. Read more

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impl<D, T, U> SwitchableDistribution for Dwhere
 D: Distribution<Value = T, Condition = U>,
 T: RandomVariable,
 U: Event,

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fn switch<'a>(
&'a self,
map: &'a HashMap<u32, U, RandomState>
) -> SwitchedDistribution<'a, D, <D as Distribution>::Value, U>

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impl<T> ToOwned for Twhere
T: Clone,

type Owned = T

The resulting type after obtaining ownership.

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fn to_owned(&self) -> T

Creates owned data from borrowed data, usually by cloning. Read more

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fn clone_into(&self, target: &mut T)

Uses borrowed data to replace owned data, usually by cloning. Read more

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impl<D, T, U1> TransformableDistribution for Dwhere
 D: Distribution<Value = T, Condition = U1>,
 T: RandomVariable,
 U1: RandomVariable,

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fn transform<V>(
self
) -> TransformedDistribution<D, <D as Distribution>::Value, <D as Distribution>::Condition, V>where
V: RandomVariable,

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impl<T, U> TryFrom for Twhere
U: Into<T>,

type Error = Infallible

The type returned in the event of a conversion error.

const: unstable · source

fn try_from(value: U) -> Result<T, <T as TryFrom>::Error>

Performs the conversion.

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impl<T, U> TryInto for Twhere
U: TryFrom<T>,

type Error = >::Error

The type returned in the event of a conversion error.

const: unstable · source

fn try_into(self) -> Result<U, >::Error>

Performs the conversion.

impl<V, T> VZip<V> for Twhere
V: MultiLane<T>,

fn vzip(self) -> V

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impl<D, T1, U> ValuableDistribution for Dwhere
 D: Distribution<Value = T1, Condition = U>,
 T1: RandomVariable,
 U: Event,

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fn value<T2, F>(
 self,
 value: F
) -> ValuedDistribution<D, <D as Distribution>::Value, T2, <D as Distribution>::Condition, F>where
 T2: RandomVariable,
 F: Fn(&T2) -> Result<<D as Distribution>::Value, DistributionError> + Clone + Send + Sync,

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impl<T> Event for Twhere
T: Clone + Debug + Send + Sync,

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Struct opensrdk_probability::continuous::elliptical::normal::multivariate::MultivariateNormal

Implementations

impl<T> MultivariateNormal<T>where T: EllipticalParams,

pub fn new() -> Self

Trait Implementations

impl<T, Rhs, URhs> BitAnd<Rhs> for MultivariateNormal<T>where T: EllipticalParams, Rhs: Distribution<Value = T, Condition = URhs>, URhs: RandomVariable,

type Output = DependentJoint<MultivariateNormal<T>, Rhs, Vec<f64, Global>, T, URhs>

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

impl<T: Clone> Clone for MultivariateNormal<T>where T: EllipticalParams,

fn clone(&self) -> MultivariateNormal<T>

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

impl ConditionDifferentiableDistribution for MultivariateNormal

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

impl<T: Debug> Debug for MultivariateNormal<T>where T: EllipticalParams,

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

impl<T> Distribution for MultivariateNormal<T>where T: EllipticalParams,

type Value = Vec<f64, Global>

type Condition = T

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

impl<T, Rhs, TRhs> Mul<Rhs> for MultivariateNormal<T>where T: EllipticalParams, Rhs: Distribution<Value = TRhs, Condition = T>, TRhs: RandomVariable,

type Output = IndependentJoint<MultivariateNormal<T>, Rhs, Vec<f64, Global>, TRhs, T>

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

impl SampleableDistribution for MultivariateNormal

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

impl ValueDifferentiableDistribution for MultivariateNormal

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

Auto Trait Implementations

impl<T> RefUnwindSafe for MultivariateNormal<T>where T: RefUnwindSafe,

impl<T> Send for MultivariateNormal<T>

impl<T> Sync for MultivariateNormal<T>

impl<T> Unpin for MultivariateNormal<T>where T: Unpin,

impl<T> UnwindSafe for MultivariateNormal<T>where T: UnwindSafe,

Blanket Implementations

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

fn type_id(&self) -> TypeId

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

fn borrow(&self) -> &T

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

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

impl<D, T, U1> ConditionableDistribution for Dwhere D: Distribution<Value = T, Condition = U1>, T: RandomVariable, U1: Event,

fn condition<U2, F>( self, condition: F) -> ConditionedDistribution<D, <D as Distribution>::Value, <D as Distribution>::Condition, U2, F>where U2: Event, F: Fn(&U2) -> Result<<D as Distribution>::Condition, DistributionError> + Clone + Send + Sync,

impl<T> From<T> for T

fn from(t: T) -> T

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

fn into(self) -> U

impl<T> Pointable for T

const ALIGN: usize = mem::align_of::<T>()

type Init = T

unsafe fn init(init: <T as Pointable>::Init) -> usize

unsafe fn deref<'a>(ptr: usize) -> &'a T

unsafe fn deref_mut<'a>(ptr: usize) -> &'a mut T

unsafe fn drop(ptr: usize)

impl<D, T, U> SwitchableDistribution<U> for Dwhere D: Distribution<Value = T, Condition = U>, T: RandomVariable, U: Event,

fn switch<'a>( &'a self, map: &'a HashMap<u32, U, RandomState>) -> SwitchedDistribution<'a, D, <D as Distribution>::Value, U>

impl<T> ToOwned for Twhere T: Clone,

type Owned = T

fn to_owned(&self) -> T

fn clone_into(&self, target: &mut T)

impl<D, T, U1> TransformableDistribution for Dwhere D: Distribution<Value = T, Condition = U1>, T: RandomVariable, U1: RandomVariable,

fn transform<V>( self) -> TransformedDistribution<D, <D as Distribution>::Value, <D as Distribution>::Condition, V>where V: RandomVariable,

impl<T, U> TryFrom<U> for Twhere U: Into<T>,

type Error = Infallible

fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

impl<T, U> TryInto<U> for Twhere U: TryFrom<T>,

type Error = <U as TryFrom<T>>::Error

fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

impl<V, T> VZip<V> for Twhere V: MultiLane<T>,

fn vzip(self) -> V

impl<D, T1, U> ValuableDistribution for Dwhere D: Distribution<Value = T1, Condition = U>, T1: RandomVariable, U: Event,

fn value<T2, F>( self, value: F) -> ValuedDistribution<D, <D as Distribution>::Value, T2, <D as Distribution>::Condition, F>where T2: RandomVariable, F: Fn(&T2) -> Result<<D as Distribution>::Value, DistributionError> + Clone + Send + Sync,

impl<T> Event for Twhere T: Clone + Debug + Send + Sync,

impl<T> Value for Twhere T: Clone + Debug + Send + Sync,

impl<T> MultivariateNormal<T>where
T: EllipticalParams,

impl<T, Rhs, URhs> BitAnd<Rhs> for MultivariateNormal<T>where
T: EllipticalParams,
Rhs: Distribution<Value = T, Condition = URhs>,
URhs: RandomVariable,

impl<T: Clone> Clone for MultivariateNormal<T>where
T: EllipticalParams,

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

impl<T: Debug> Debug for MultivariateNormal<T>where
T: EllipticalParams,

impl<T> Distribution for MultivariateNormal<T>where
T: EllipticalParams,

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

impl<T, Rhs, TRhs> Mul<Rhs> for MultivariateNormal<T>where
T: EllipticalParams,
Rhs: Distribution<Value = TRhs, Condition = T>,
TRhs: RandomVariable,

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

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

impl<T> RefUnwindSafe for MultivariateNormal<T>where
T: RefUnwindSafe,

impl<T> Unpin for MultivariateNormal<T>where
T: Unpin,

impl<T> UnwindSafe for MultivariateNormal<T>where
T: UnwindSafe,

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

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

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

impl<D, T, U1> ConditionableDistribution for Dwhere
D: Distribution<Value = T, Condition = U1>,
T: RandomVariable,
U1: Event,

fn condition<U2, F>(
self,
condition: F
) -> ConditionedDistribution<D, <D as Distribution>::Value, <D as Distribution>::Condition, U2, F>where
U2: Event,
F: Fn(&U2) -> Result<<D as Distribution>::Condition, DistributionError> + Clone + Send + Sync,

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

impl<D, T, U> SwitchableDistribution<U> for Dwhere
D: Distribution<Value = T, Condition = U>,
T: RandomVariable,
U: Event,

fn switch<'a>(
&'a self,
map: &'a HashMap<u32, U, RandomState>
) -> SwitchedDistribution<'a, D, <D as Distribution>::Value, U>

impl<T> ToOwned for Twhere
T: Clone,

impl<D, T, U1> TransformableDistribution for Dwhere
D: Distribution<Value = T, Condition = U1>,
T: RandomVariable,
U1: RandomVariable,

fn transform<V>(
self
) -> TransformedDistribution<D, <D as Distribution>::Value, <D as Distribution>::Condition, V>where
V: RandomVariable,

impl<T, U> TryFrom<U> for Twhere
U: Into<T>,

impl<T, U> TryInto<U> for Twhere
U: TryFrom<T>,

impl<V, T> VZip<V> for Twhere
V: MultiLane<T>,

impl<D, T1, U> ValuableDistribution for Dwhere
D: Distribution<Value = T1, Condition = U>,
T1: RandomVariable,
U: Event,

fn value<T2, F>(
self,
value: F
) -> ValuedDistribution<D, <D as Distribution>::Value, T2, <D as Distribution>::Condition, F>where
T2: RandomVariable,
F: Fn(&T2) -> Result<<D as Distribution>::Value, DistributionError> + Clone + Send + Sync,

impl<T> Event for Twhere
T: Clone + Debug + Send + Sync,

impl<T> Value for Twhere
T: Clone + Debug + Send + Sync,