Enum LearningStrategy 

pub enum LearningStrategy {
    Supervised,
    Unsupervised,
    Reinforcement,
    Online,
    Transfer,
}

Learning strategy for adaptive correction

Variants

Supervised

Supervised learning with labeled training data

Unsupervised

Unsupervised learning for pattern discovery

Reinforcement

Reinforcement learning with reward signals

Online

Online learning with continuous updates

Transfer

Transfer learning from pre-trained models

Trait Implementations

impl Clone for LearningStrategy

fn clone(&self) -> LearningStrategy

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for LearningStrategy

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

Formats the value using the given formatter.

impl PartialEq for LearningStrategy

fn eq(&self, other: &LearningStrategy) -> 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 Copy for LearningStrategy

impl Eq for LearningStrategy

impl StructuralPartialEq for LearningStrategy