Enum MLTaskType 

pub enum MLTaskType {
    BinaryClassification,
    MultiClassification {
        num_classes: usize,
    },
    MultiLabelClassification {
        num_labels: usize,
    },
    Regression,
    TimeSeriesForecasting {
        horizon: usize,
    },
    Clustering {
        num_clusters: Option<usize>,
    },
    AnomalyDetection,
    DimensionalityReduction {
        target_dim: Option<usize>,
    },
    ReinforcementLearning,
    GenerativeModeling,
}

Machine learning task types

Variants

BinaryClassification

Binary classification

MultiClassification

Multi-class classification

Fields

num_classes: usize

MultiLabelClassification

Multi-label classification

Fields

num_labels: usize

Regression

Regression

TimeSeriesForecasting

Time series forecasting

Fields

horizon: usize

Clustering

Clustering

Fields

num_clusters: Option<usize>

AnomalyDetection

Anomaly detection

DimensionalityReduction

Dimensionality reduction

Fields

target_dim: Option<usize>

ReinforcementLearning

Reinforcement learning

GenerativeModeling

Generative modeling

Trait Implementations

impl Clone for MLTaskType

fn clone(&self) -> MLTaskType

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for MLTaskType

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

Formats the value using the given formatter.

impl PartialEq for MLTaskType

fn eq(&self, other: &MLTaskType) -> 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 StructuralPartialEq for MLTaskType