Enum ModelSelectionStrategy 

pub enum ModelSelectionStrategy {
    AlwaysLinear,
    AlwaysPolynomial,
    AlwaysNeural,
    Adaptive,
    Ensemble,
}

Strategy for selecting prediction models

Variants

AlwaysLinear

Always use linear model (fastest)

AlwaysPolynomial

Always use polynomial model

AlwaysNeural

Always use neural model (if available)

Adaptive

Automatically select best model based on pattern

Ensemble

Use ensemble of multiple models

Trait Implementations

impl Clone for ModelSelectionStrategy

fn clone(&self) -> ModelSelectionStrategy

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ModelSelectionStrategy

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for ModelSelectionStrategy

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for ModelSelectionStrategy

fn eq(&self, other: &ModelSelectionStrategy) -> 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 ModelSelectionStrategy

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 ModelSelectionStrategy

impl Eq for ModelSelectionStrategy

impl StructuralPartialEq for ModelSelectionStrategy