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2 changes: 1 addition & 1 deletion pymc3/distributions/discrete.py
Original file line number Diff line number Diff line change
Expand Up @@ -48,7 +48,7 @@ def __init__(self, n, p, *args, **kwargs):
self.mode = tt.cast(tround(n * p), self.dtype)

def random(self, point=None, size=None, repeat=None):
n, p = draw_values([self.n, self.p], point=point)
n, p = draw_values([self.n, self.p], point=point, size=size)
return generate_samples(stats.binom.rvs, n=n, p=p,
dist_shape=self.shape,
size=size)
Expand Down
12 changes: 7 additions & 5 deletions pymc3/distributions/distribution.py
Original file line number Diff line number Diff line change
Expand Up @@ -186,7 +186,7 @@ def __init__(self, logp, shape=(), dtype=None, testval=0, *args, **kwargs):
self.logp = logp


def draw_values(params, point=None):
def draw_values(params, point=None, size=None):
"""
Draw (fix) parameter values. Handles a number of cases:

Expand Down Expand Up @@ -215,10 +215,10 @@ def draw_values(params, point=None):
for name, node in named_nodes.items():
if not isinstance(node, (tt.sharedvar.SharedVariable,
tt.TensorConstant)):
givens[name] = (node, _draw_value(node, point=point))
givens[name] = (node, _draw_value(node, point=point, size=size))
values = []
for param in params:
values.append(_draw_value(param, point=point, givens=givens.values()))
values.append(_draw_value(param, point=point, givens=givens.values(), size=size))
return values


Expand Down Expand Up @@ -247,7 +247,7 @@ def _compile_theano_function(param, vars, givens=None):
allow_input_downcast=True)


def _draw_value(param, point=None, givens=None):
def _draw_value(param, point=None, givens=None, size=None):
"""Draw a random value from a distribution or return a constant.

Parameters
Expand All @@ -263,6 +263,8 @@ def _draw_value(param, point=None, givens=None):
givens : dict, optional
A dictionary from theano variables to their values. These values
are used to evaluate `param` if it is a theano variable.
size: int, optional
Number of sampling
"""
if isinstance(param, numbers.Number):
return param
Expand All @@ -276,7 +278,7 @@ def _draw_value(param, point=None, givens=None):
if point and hasattr(param, 'model') and param.name in point:
return point[param.name]
elif hasattr(param, 'random') and param.random is not None:
return param.random(point=point, size=None)
return param.random(point=point, size=size).mean(axis=0)
else:
if givens:
variables, values = list(zip(*givens))
Expand Down