labcore.data.datagen# Classes DataGen([noise_std]) ExponentialDataGen([noise_std, base]) GaussianDataGen([noise_std, x0, sigma, A, of]) SineDataGen([noise_std, A, f, phi, of]) class labcore.data.datagen.DataGen(noise_std: float = 1.0)[source]# Bases: ABC generate(coordinates, **kwargs)[source]# abstract model(*args, **kwargs)[source]# static noise(coordinates, std)[source]# noise_std: float = 1.0# class labcore.data.datagen.ExponentialDataGen(noise_std: float = 1.0, base: float = 2.718281828459045)[source]# Bases: DataGen base: float = 2.718281828459045# static model(coordinates, base)[source]# class labcore.data.datagen.GaussianDataGen(noise_std: float = 1.0, x0: float = 0, sigma: float = 1, A: float = 1, of: float = 0)[source]# Bases: DataGen A: float = 1# static model(coordinates, x0, sigma, A, of)[source]# of: float = 0# sigma: float = 1# x0: float = 0# class labcore.data.datagen.SineDataGen(noise_std: float = 1.0, A: float = 1, f: float = 1, phi: float = 0, of: float = 0)[source]# Bases: DataGen A: float = 1# f: float = 1# static model(coordinates, A, f, phi, of)[source]# of: float = 0# phi: float = 0#
