[−][src]Struct opensrdk_probability::multivariate_normal::MultivariateNormal
Implementations
impl MultivariateNormal
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pub fn new(mean: Vec<f64>, l_cov: Matrix) -> Self
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Multivariate normal
L
is needed as second argument under decomposition Sigma = L * L^T
pub fn from(mean: Vec<f64>, cov: Matrix) -> Result<Self, String>
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pub fn mean(&self) -> &[f64]
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pub fn l_cov(&self) -> &Matrix
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pub fn cov(&self) -> Matrix
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Trait Implementations
Auto Trait Implementations
impl RefUnwindSafe for MultivariateNormal
impl Send for MultivariateNormal
impl Sync for MultivariateNormal
impl Unpin for MultivariateNormal
impl UnwindSafe for MultivariateNormal
Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
fn borrow_mut(&mut self) -> &mut T
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impl<T> From<T> for T
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,
type Error = <U as TryFrom<T>>::Error
The type returned in the event of a conversion error.
fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>
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impl<V, T> VZip<V> for T where
V: MultiLane<T>,
V: MultiLane<T>,