Struct LinearTrainConfig

pub struct LinearTrainConfig {
    pub weight_precision_prior: GammaDistribution,
    pub noise_precision_prior: GammaDistribution,
    pub use_bias: bool,
    pub standardize: bool,
    pub max_iter: usize,
    pub tolerance: f64,
    pub verbose: bool,
}

Specifies configurable options for training a variational linear regression model

Fields

weight_precision_prior: GammaDistribution

Prior distribution over the precision of the model weights

noise_precision_prior: GammaDistribution

Prior distribution over the precision of the noise term

use_bias: bool

Whether or not to include a bias term

standardize: bool

Whether or not to standardize the features

max_iter: usize

Maximum number of training iterations

tolerance: f64

Convergence criteria threshold

verbose: bool

Indicates whether or not to print training info

Trait Implementations

impl Clone for LinearTrainConfig

fn clone(&self) -> LinearTrainConfig

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for LinearTrainConfig

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

Formats the value using the given formatter.

impl Default for LinearTrainConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for LinearTrainConfig

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for LinearTrainConfig

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

where __S: Serializer,

Serialize this value into the given Serde serializer.