jax.scipy.stats.beta.cdf

jax.scipy.stats.beta.cdf#

jax.scipy.stats.beta.cdf(x, a, b, loc=0, scale=1)[source]#

Beta cumulative distribution function

JAX implementation of scipy.stats.beta cdf.

The cdf is defined as

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

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

Parameters:

x (Array | ndarray | bool | number | bool | int | float | complex) – arraylike, value at which to evaluate the CDF
a (Array | ndarray | bool | number | bool | int | float | complex) – arraylike, distribution shape parameter
b (Array | ndarray | bool | number | bool | int | float | complex) – arraylike, distribution shape parameter
loc (Array | ndarray | bool | number | bool | int | float | complex) – arraylike, distribution offset parameter
scale (Array | ndarray | bool | number | bool | int | float | complex) – arraylike, distribution scale parameter

Returns:

array of cdf values

Return type:

Array