Struct LinearConfig 

pub struct LinearConfig {
    pub n_features: usize,
    pub learning_rate: f64,
    pub l2: f64,
    pub standardise_inputs: bool,
    pub min_samples: u64,
}

Configuration for OnlineLinearRegressor.

Fields

n_features: usize

Number of input features.

learning_rate: f64

Learning rate of the LMS update step.

l2: f64

L2 regularisation strength (0.0 disables it).

standardise_inputs: bool

Whether to standardise inputs using a running mean / variance estimate.

min_samples: u64

Minimum number of samples before StreamRegressor::predict returns.

Trait Implementations

impl Clone for LinearConfig

fn clone(&self) -> LinearConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for LinearConfig

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

Formats the value using the given formatter.

impl Default for LinearConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for LinearConfig

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for LinearConfig

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

where __S: Serializer,

Serialize this value into the given Serde serializer.