squlearn.optimizers
.LBFGSB
- class squlearn.optimizers.LBFGSB(options: dict = None, callback=<function default_callback>)
Wrapper class for scipy’s L-BFGS-B implementation.
- Parameters:
options (dict) – Options for the L-BFGS-B optimizer. The options are the same as for
scipy.optimize.minimize()
- minimize(fun: callable, x0: ndarray, grad: callable = None, bounds=None) OptimizerResult
Function to minimize a given function using the L-BFGS-B optimizer. Is wrapped from scipy.
- Parameters:
fun (callable) – Function to minimize.
x0 (numpy.ndarray) – Initial guess.
grad (callable) – Gradient of the function to minimize.
bounds (sequence) – Bounds for the parameters.
- Returns:
OptimizerResult format.
- Return type:
Result of the optimization in class
- set_callback(callback)
Set the callback function with additional iteration counter increasing.