jax.scipy.stats.norm.cdf#
- jax.scipy.stats.norm.cdf(x, loc=0, scale=1)[source]#
Normal cumulative distribution function.
JAX implementation of
scipy.stats.normcdf.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.norm.pdf().- Parameters:
x (Array | ndarray | bool_ | number | bool | int | float | complex) – arraylike, value at which to evaluate the CDF
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: