Struct Probability 

pub struct Probability(/* private fields */);

A bounded probability value represented as fixed-point parts per million.

Unlike ConfidenceScore, this type can represent priors and conditional likelihoods in Bayesian updates. The type enforces range and deterministic arithmetic; it does not prove that a caller’s values were empirically calibrated. Profiles using policy-selected weights must document that fact rather than presenting their posteriors as measured real-world frequencies. Floating-point conversion is provided only for display and analytics.

Implementations

impl Probability

pub const ZERO: Self

An impossible event.

pub const ONE: Self

A certain event.

pub fn from_parts_per_million(value: u32) -> Result<Self, ReasoningModelError>

Creates a probability from fixed-point parts per million.

pub fn from_basis_points(value: u16) -> Result<Self, ReasoningModelError>

Creates a probability from basis points.

pub fn from_percent(value: u8) -> Result<Self, ReasoningModelError>

Creates a probability from an integer percentage.

pub const fn parts_per_million(self) -> u32

Returns the fixed-point value in parts per million.

pub fn ratio(self) -> f64

Returns the probability as a ratio for presentation or analytics.

pub fn update( self, likelihood_if_true: Self, likelihood_if_false: Self, ) -> Result<Self, ReasoningModelError>

Applies one Bayesian observation to this prior.

likelihood_if_true is P(E|H) and likelihood_if_false is P(E|not H). The result is rounded to the nearest part per million.

Trait Implementations

impl Clone for Probability

fn clone(&self) -> Probability

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for Probability

impl Debug for Probability

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Probability

fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>

where D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Eq for Probability

impl Hash for Probability

fn hash<__H: Hasher>(&self, state: &mut __H)

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl Ord for Probability

fn cmp(&self, other: &Probability) -> Ordering

This method returns an Ordering between self and other.

fn max(self, other: Self) -> Self

where Self: Sized,

Compares and returns the maximum of two values.

fn min(self, other: Self) -> Self

where Self: Sized,

Compares and returns the minimum of two values.

fn clamp(self, min: Self, max: Self) -> Self

where Self: Sized,

Restrict a value to a certain interval.

impl PartialEq for Probability

fn eq(&self, other: &Probability) -> bool

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl PartialOrd for Probability

fn partial_cmp(&self, other: &Probability) -> Option<Ordering>

This method returns an ordering between self and other values if one exists.

fn lt(&self, other: &Rhs) -> bool

Tests less than (for self and other) and is used by the < operator.

fn le(&self, other: &Rhs) -> bool

Tests less than or equal to (for self and other) and is used by the <= operator.

fn gt(&self, other: &Rhs) -> bool

Tests greater than (for self and other) and is used by the > operator.

fn ge(&self, other: &Rhs) -> bool

Tests greater than or equal to (for self and other) and is used by the >= operator.

impl Serialize for Probability

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for Probability