Define the clean data object ready for the future inference.

Variables:

geno : List[jax.Array]

actual genotype data.

pheno : List[jax.Array]

phenotype data.

covar : List[jax.Array | numpy.ndarray | numpy.bool | numpy.number | bool | int | float | complex] | None

covariate needed to be adjusted in the inference.

pi : List[jax.Array | numpy.ndarray | numpy.bool | numpy.number | bool | int | float | complex] | None

prior weights for each SNP to be causal.

IO Public-members¶

static CleanData(_cls, geno: List[Array], pheno: List[Array], ...)

Create new instance of CleanData(geno, pheno, covar, pi)

__repr__()

Return a nicely formatted representation string

__getnewargs__()

Return self as a plain tuple. Used by copy and pickle.