pub struct QuantumMLTrainer { /* private fields */ }Expand description
Quantum machine learning trainer
Implementations§
Source§impl QuantumMLTrainer
impl QuantumMLTrainer
Sourcepub fn new(
config: QMLConfig,
pqc: ParameterizedQuantumCircuit,
noise_model: Option<Box<dyn DeviceNoiseModel>>,
) -> Result<Self>
pub fn new( config: QMLConfig, pqc: ParameterizedQuantumCircuit, noise_model: Option<Box<dyn DeviceNoiseModel>>, ) -> Result<Self>
Create a new quantum ML trainer
Sourcepub fn train<F>(&mut self, loss_function: F) -> Result<TrainingResult>
pub fn train<F>(&mut self, loss_function: F) -> Result<TrainingResult>
Train the quantum ML model
Sourcepub const fn get_parameters(&self) -> &Array1<f64>
pub const fn get_parameters(&self) -> &Array1<f64>
Get current parameters
Sourcepub const fn get_training_history(&self) -> &TrainingHistory
pub const fn get_training_history(&self) -> &TrainingHistory
Get training history
Sourcepub const fn set_learning_rate(&mut self, lr: f64)
pub const fn set_learning_rate(&mut self, lr: f64)
Set learning rate
Sourcepub fn reset_optimizer(&mut self)
pub fn reset_optimizer(&mut self)
Reset optimizer state
Auto Trait Implementations§
impl Freeze for QuantumMLTrainer
impl !RefUnwindSafe for QuantumMLTrainer
impl Send for QuantumMLTrainer
impl Sync for QuantumMLTrainer
impl Unpin for QuantumMLTrainer
impl !UnwindSafe for QuantumMLTrainer
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T: ?Sized,
impl<T> BorrowMut<T> for Twhere
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