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Removed redundant size argument from sample_ppc #1566

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Removed redundant size argument from sample_ppc #1566

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8 changes: 2 additions & 6 deletions pymc3/sampling.py
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Original file line number Diff line number Diff line change
Expand Up @@ -343,7 +343,7 @@ def _soft_update(a, b):
a.update({k: v for k, v in b.items() if k not in a})


def sample_ppc(trace, samples=None, model=None, vars=None, size=None, random_seed=None, progressbar=True):
def sample_ppc(trace, samples=None, model=None, vars=None, random_seed=None, progressbar=True):
"""Generate posterior predictive samples from a model given a trace.

Parameters
Expand All @@ -358,9 +358,6 @@ def sample_ppc(trace, samples=None, model=None, vars=None, size=None, random_see
vars : iterable
Variables for which to compute the posterior predictive samples.
Defaults to `model.observed_RVs`.
size : int
The number of random draws from the distribution specified by the
parameters in each sample of the trace.

Returns
-------
Expand All @@ -387,8 +384,7 @@ def sample_ppc(trace, samples=None, model=None, vars=None, size=None, random_see
for idx in indices:
param = trace[idx]
for var in vars:
ppc[var.name].append(var.distribution.random(point=param,
size=size))
ppc[var.name].append(var.distribution.random(point=param))

return {k: np.asarray(v) for k, v in ppc.items()}

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