Struct solana_evm_loader_program::scope::evm::secp256k1::rand::distributions::Dirichlet [−][src]
The dirichelet distribution Dirichlet(alpha)
.
The Dirichlet distribution is a family of continuous multivariate probability distributions parameterized by a vector alpha of positive reals. It is a multivariate generalization of the beta distribution.
Example
use rand::prelude::*; use rand::distributions::Dirichlet; let dirichlet = Dirichlet::new(vec![1.0, 2.0, 3.0]); let samples = dirichlet.sample(&mut rand::thread_rng()); println!("{:?} is from a Dirichlet([1.0, 2.0, 3.0]) distribution", samples);
Implementations
impl Dirichlet
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pub fn new<V>(alpha: V) -> Dirichlet where
V: Into<Vec<f64, Global>>,
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V: Into<Vec<f64, Global>>,
pub fn new_with_param(alpha: f64, size: usize) -> Dirichlet
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Construct a new Dirichlet
with the given shape parameter alpha
and size
.
Panics
- if
alpha <= 0.0
- if
size < 2
Trait Implementations
impl Clone for Dirichlet
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impl Debug for Dirichlet
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impl Distribution<Vec<f64, Global>> for Dirichlet
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Auto Trait Implementations
impl RefUnwindSafe for Dirichlet
impl Send for Dirichlet
impl Sync for Dirichlet
impl Unpin for Dirichlet
impl UnwindSafe for Dirichlet
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,
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> MaybeDebug for T where
T: Debug,
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T: Debug,
impl<T> Same<T> for T
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type Output = T
Should always be Self
impl<T> ToOwned for T where
T: Clone,
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T: Clone,
impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,
impl<T> Typeable for T where
T: Any,
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T: Any,
impl<V, T> VZip<V> for T where
V: MultiLane<T>,
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V: MultiLane<T>,