dagma.utils.simulate_nonlinear_sem¶

dagma.utils.simulate_nonlinear_sem(B: numpy.ndarray, n: int, sem_type: str, noise_scale: float | list[float] | None = None) → numpy.ndarray¶

Simulate samples from nonlinear SEM.

Parameters:¶

B : np.ndarray¶

\([d, d]\) binary adj matrix of DAG.

n : int¶

num of samples

sem_type : str¶

mlp, mim, gp, gp-add

noise_scale : Optional[Union[float,List[float]]], optional¶

scale parameter of the additive noises. If None, all noises have scale 1. Default: None.

Returns:¶

\([n, d]\) sample matrix.

Return type:¶

np.ndarray