jax.scipy.stats.beta.logpdf#
- jax.scipy.stats.beta.logpdf(x, a, b, loc=0, scale=1)[source]#
Beta log probability distribution function.
JAX implementation of
scipy.stats.betalogpdf.The pdf of the beta function is:
\[f(x, a, b) = \frac{\Gamma(a + b)}{\Gamma(a)\Gamma(b)} x^{a-1}(1-x)^{b-1}\]where \(\Gamma\) is the
gamma()function, It is defined for \(0\le x\le 1\) and \(b>0\).- Parameters:
x (Array | ndarray | bool | number | bool | int | float | complex) – arraylike, value at which to evaluate the PDF
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 logpdf values
- Return type: