Simulation Parameters

class EarlyStopping.SimulationParameters(design, true_signal, true_noise_level, monte_carlo_runs, noise=None, response_noiseless=None, critical_value=None, interpolation=False, computation_threshold=1e-08, cores=5)

[Source]

A class for managing and validating the parameters for simulation in the SimulationWrapper class. This class ensures the validity of input parameters required for performing simulation tasks and manages attributes such as design matrix, noise level, iteration limits, and parallel processing settings.

Parameters

design: ndarray. The design matrix of the simulation, representing the model matrix.

true_signal: ndarray. The true signal or target vector used for generating simulated response values.

true_noise_level: float. The standard deviation of the normally distributed noise applied to the response.

monte_carlo_runs: int. Defines the number of Monte-Carlo runs to perform in the simulation.

noise: ndarray, optional. Specifies an initial noise matrix; defaults to None, in which case noise will be generated as needed.

response_noiseless: ndarray, optional. Represents the noiseless response vector, if available. Default is None.

critical_value: float, optional. A critical threshold value for the simulation, used in criteria like early stopping. Default is None.

interpolation: bool, default=False. Specifies whether to use interpolation techniques within the simulation.

computation_threshold: float, default=10 ** (-8). A small threshold to control numerical computations in the simulation procedures.

cores: int, default=5. Specifies the number of processor cores to use for parallel execution.