Struct ConfidenceScoredVector 

pub struct ConfidenceScoredVector {
    pub mean: Vector,
    pub confidence: Vec<f32>,
    pub overall_confidence: f32,
}

Confidence-scored vector with uncertainty estimates

Fields

mean: Vector

The mean vector values

confidence: Vec<f32>

Confidence scores or standard deviations for each dimension

overall_confidence: f32

Overall confidence score (0.0 to 1.0)

Implementations

impl ConfidenceScoredVector

pub fn new(mean_values: Vec<f32>, confidence_scores: Vec<f32>) -> Result<Self>

Create a new confidence-scored vector

pub fn high_confidence(values: Vec<f32>) -> Self

Create with uniform high confidence

pub fn confidence_weighted_similarity( &self, other: &ConfidenceScoredVector, ) -> Result<f32>

Compute similarity with confidence weighting

pub fn sample(&self) -> Vector

Sample vector from confidence distribution (assuming Gaussian)

pub fn low_confidence_dimensions( &self, threshold: f32, ) -> Vec<(usize, f32, f32)>

Get dimensions with low confidence

Trait Implementations

impl Clone for ConfidenceScoredVector

fn clone(&self) -> ConfidenceScoredVector

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ConfidenceScoredVector

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for ConfidenceScoredVector

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for ConfidenceScoredVector

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

Tests for self and other values to be equal, and is used by ==.

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

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for ConfidenceScoredVector

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 ConfidenceScoredVector