Struct KnnConfig 

pub struct KnnConfig {
    pub n_features: usize,
    pub n_classes: usize,
    pub k: usize,
    pub window_size: usize,
    pub distance_weighted: bool,
    pub min_samples: u64,
}

Configuration for StreamingKnnClassifier.

Fields

n_features: usize

Number of input features.

n_classes: usize

Number of classes (used for score vector sizing).

k: usize

Number of neighbours queried per prediction.

window_size: usize

Sliding window of the last N observations.

distance_weighted: bool

If true, weight votes inversely with distance.

min_samples: u64

Minimum number of samples required before StreamingKnnClassifier::predict returns.

Trait Implementations

impl Clone for KnnConfig

fn clone(&self) -> KnnConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for KnnConfig

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

Formats the value using the given formatter.

impl Default for KnnConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for KnnConfig

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for KnnConfig

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

where __S: Serializer,

Serialize this value into the given Serde serializer.