Enum ModelType 

pub enum ModelType {
    Linear,
    NeuralNetwork,
    Polynomial,
}

Type of model to use in the learned index

Variants

Linear

Linear regression model

NeuralNetwork

Simple neural network (single hidden layer)

Polynomial

Polynomial regression (degree 2)

Trait Implementations

impl Clone for ModelType

fn clone(&self) -> ModelType

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ModelType

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for ModelType

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for ModelType

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

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 ModelType

impl Eq for ModelType

impl StructuralPartialEq for ModelType