Enum ModelType 

pub enum ModelType {
    RandomForest,
    GradientBoosting,
    XGBoost,
    LightGBM,
    SVM,
    LogisticRegression,
    NeuralNetwork,
    KNN,
    NaiveBayes,
    LinearRegression,
    Ridge,
    Lasso,
    ElasticNet,
}

Model type for AutoML

Variants

RandomForest

GradientBoosting

XGBoost

LightGBM

SVM

LogisticRegression

NeuralNetwork

KNN

NaiveBayes

LinearRegression

Ridge

Lasso

ElasticNet

Implementations

impl ModelType

pub fn classification_models() -> Vec<ModelType>

Get all classification models

pub fn regression_models() -> Vec<ModelType>

Get all regression models

pub fn default_hyperparameters(&self) -> HashMap<String, ParameterSpace>

Get default hyperparameter space for this model

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 Hash for ModelType

fn hash<__H: Hasher>(&self, state: &mut __H)

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

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 Copy for ModelType

impl Eq for ModelType

impl StructuralPartialEq for ModelType