medil.models.NeuroCausalFactorAnalysis

class medil.models.NeuroCausalFactorAnalysis(seed: int = 0, dof: int = 0, path: str = 'trained_ncfa/', verbose: bool = False, **kwargs)

Bases: MedilCausalModel

A MeDIL causal model represented by a deep generative model.

__init__(seed: int = 0, dof: int = 0, path: str = 'trained_ncfa/', verbose: bool = False, **kwargs)

Methods

__init__([seed, dof, path, verbose])
assign_dof()	Assign degrees of freedom (latent variables) of VAE to latent factors from causal structure learning.
fit(dataset)
log(entry)
sample(sample_size)

assign_dof() → numpy.typing.NDArray

Assign degrees of freedom (latent variables) of VAE to latent factors from causal structure learning.