Struct QuantumLSTMModel 

pub struct QuantumLSTMModel { /* private fields */ }

Quantum LSTM model implementation

Implementations

impl QuantumLSTMModel

pub fn new( hidden_size: usize, num_layers: usize, dropout: f64, num_qubits: usize, ) -> Result<Self>

Trait Implementations

impl Clone for QuantumLSTMModel

fn clone(&self) -> QuantumLSTMModel

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for QuantumLSTMModel

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for QuantumLSTMModel

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for QuantumLSTMModel

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl TimeSeriesModelTrait for QuantumLSTMModel

fn fit(&mut self, data: &Array2<f64>, targets: &Array2<f64>) -> Result<()>

Fit the model to training data

fn predict(&self, data: &Array2<f64>, horizon: usize) -> Result<Array2<f64>>

Predict future values

fn parameters(&self) -> &Array1<f64>

Get model parameters

fn update_parameters(&mut self, params: &Array1<f64>) -> Result<()>

Update parameters

fn clone_box(&self) -> Box<dyn TimeSeriesModelTrait>

Clone the model

fn model_type(&self) -> &'static str

Model type name

fn complexity(&self) -> usize

Get model complexity (parameter count)