Enum MLAlgorithm 

pub enum MLAlgorithm {
    QuantumInspiredNeuralNetwork,
    TensorNetworkML,
    MPSNeuralNetwork,
    QuantumInspiredAutoencoder,
    QuantumInspiredRL,
    QuantumInspiredSVM,
    QuantumInspiredClustering,
    QuantumInspiredPCA,
}

Quantum-inspired machine learning algorithms

Variants

QuantumInspiredNeuralNetwork

Quantum-inspired neural network

TensorNetworkML

Tensor network machine learning

MPSNeuralNetwork

Matrix product state neural network

QuantumInspiredAutoencoder

Quantum-inspired autoencoder

QuantumInspiredRL

Quantum-inspired reinforcement learning

QuantumInspiredSVM

Quantum-inspired support vector machine

QuantumInspiredClustering

Quantum-inspired clustering

QuantumInspiredPCA

Quantum-inspired dimensionality reduction

Trait Implementations

impl Clone for MLAlgorithm

fn clone(&self) -> MLAlgorithm

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for MLAlgorithm

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for MLAlgorithm

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for MLAlgorithm

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

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 MLAlgorithm

impl Eq for MLAlgorithm

impl StructuralPartialEq for MLAlgorithm