jax.scipy.stats.gennorm.cdf

jax.scipy.stats.gennorm.cdf(x, beta)

Generalized normal cumulative distribution function.

JAX implementation of scipy.stats.gennorm cdf.

The cdf is defined as

\[f_{cdf}(x, k) = \int_{-\infty}^x f_{pdf}(y, k)\mathrm{d}y\]

where \(f_{pdf}\) is the probability density function, jax.scipy.stats.gennorm.pdf().

Parameters:

• x (Array | ndarray | bool_ | number | bool | int | float | complex) – arraylike, value at which to evaluate the CDF

• beta (Array | ndarray | bool_ | number | bool | int | float | complex) – arraylike, distribution shape parameter

Returns:

array of cdf values.

Return type:

Array

See also

• jax.scipy.stats.gennorm.pdf()

• jax.scipy.stats.gennorm.logpdf()