Struct IncrementalMultiOutputRegressionConfig 

pub struct IncrementalMultiOutputRegressionConfig {
    pub learning_rate: Float,
    pub alpha: Float,
    pub fit_intercept: bool,
    pub max_samples: usize,
    pub adaptive_learning_rate: bool,
    pub learning_rate_decay: Float,
}

Configuration for incremental multi-output regression

Fields

learning_rate: Float

Learning rate for gradient updates

alpha: Float

L2 regularization parameter

fit_intercept: bool

Whether to fit intercept

max_samples: usize

Maximum number of samples to keep in memory (for computing statistics)

adaptive_learning_rate: bool

Whether to use adaptive learning rate

learning_rate_decay: Float

Decay factor for learning rate

Trait Implementations

impl Clone for IncrementalMultiOutputRegressionConfig

fn clone(&self) -> IncrementalMultiOutputRegressionConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for IncrementalMultiOutputRegressionConfig

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

Formats the value using the given formatter.

impl Default for IncrementalMultiOutputRegressionConfig

fn default() -> Self

Returns the “default value” for a type.