Enum LearningAlgorithm 

pub enum LearningAlgorithm {
    Ridge,
    LASSO,
    ElasticNet,
    RecursiveLeastSquares,
    KalmanFilter,
    ExtendedKalmanFilter,
    NeuralNetwork,
    SupportVectorRegression,
    GaussianProcess,
    RandomForest,
    GradientBoosting,
    OnlineGradientDescent,
    Adam,
    MetaLearning,
}

Advanced learning algorithm types

Variants

Ridge

Ridge regression with L2 regularization

LASSO

LASSO regression with L1 regularization

ElasticNet

Elastic Net combining L1 and L2 regularization

RecursiveLeastSquares

Recursive Least Squares with forgetting factor

KalmanFilter

Kalman filter for adaptive learning

ExtendedKalmanFilter

Extended Kalman filter for nonlinear systems

NeuralNetwork

Neural network readout layer

SupportVectorRegression

Support Vector Regression

GaussianProcess

Gaussian Process regression

RandomForest

Random Forest regression

GradientBoosting

Gradient boosting regression

OnlineGradientDescent

Online gradient descent

Adam

Adam optimizer

MetaLearning

Meta-learning approach

Trait Implementations

impl Clone for LearningAlgorithm

fn clone(&self) -> LearningAlgorithm

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for LearningAlgorithm

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for LearningAlgorithm

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for LearningAlgorithm

fn eq(&self, other: &LearningAlgorithm) -> 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 Serialize for LearningAlgorithm

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Copy for LearningAlgorithm

impl Eq for LearningAlgorithm

impl StructuralPartialEq for LearningAlgorithm