Enum ModelCategory 

pub enum ModelCategory {
    Classification,
    Regression,
    Generative,
    Variational,
    Kernel,
    Transfer,
    AnomalyDetection,
    TimeSeries,
    NLP,
    Vision,
    ReinforcementLearning,
}

Model categories

Variants

Classification

Classification models

Regression

Regression models

Generative

Generative models

Variational

Variational algorithms

Kernel

Quantum kernels

Transfer

Transfer learning

AnomalyDetection

Anomaly detection

TimeSeries

Time series

NLP

Natural language processing

Vision

Computer vision

ReinforcementLearning

Reinforcement learning

Trait Implementations

impl Clone for ModelCategory

fn clone(&self) -> ModelCategory

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ModelCategory

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for ModelCategory

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Hash for ModelCategory

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 ModelCategory

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

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Eq for ModelCategory

impl StructuralPartialEq for ModelCategory