pymc.DiscreteUniform#
- class pymc.DiscreteUniform(name, *args, **kwargs)[source]#
Discrete uniform distribution.
The pmf of this distribution is
\[f(x \mid lower, upper) = \frac{1}{upper-lower+1}\](
Source code,png,hires.png,pdf)
Support
\(x \in {lower, lower + 1, \ldots, upper}\)
Mean
\(\dfrac{lower + upper}{2}\)
Variance
\(\dfrac{(upper - lower)^2}{12}\)
- Parameters
- lowertensor_like of
int Lower limit.
- uppertensor_like of
int Upper limit (upper > lower).
- lowertensor_like of
Methods
DiscreteUniform.__init__(*args, **kwargs)DiscreteUniform.dist(lower, upper, *args, ...)Creates a tensor variable corresponding to the cls distribution.
DiscreteUniform.icdf(lower, upper)DiscreteUniform.logcdf(lower, upper)DiscreteUniform.logp(lower, upper)DiscreteUniform.moment(size, lower, upper)Attributes
rv_op
