jax.scipy.stats.binom.logpmf#

jax.scipy.stats.binom.logpmf(k, n, p, loc=0)[source]#

Log of the probability mass function at k of the given RV.

LAX-backend implementation of scipy.stats._distn_infrastructure.logpmf().

Original docstring below.

Parameters:

  • k (array_like) – Quantiles.

  • arg1 (array_like) – The shape parameter(s) for the distribution (see docstring of the instance object for more information).

  • arg2 (array_like) – The shape parameter(s) for the distribution (see docstring of the instance object for more information).

  • arg3 (array_like) – The shape parameter(s) for the distribution (see docstring of the instance object for more information).

  • ... (array_like) – The shape parameter(s) for the distribution (see docstring of the instance object for more information).

  • loc (array_like, optional) – Location parameter. Default is 0.

  • n (Union[Array, ndarray, bool_, number, bool, int, float, complex]) –

  • p (Union[Array, ndarray, bool_, number, bool, int, float, complex]) –

Returns:

logpmf – Log of the probability mass function evaluated at k.

Return type:

array_like