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Please provide a minimal, self-contained, and reproducible example.
import pymc3 as pm
pm.NormalMixture.dist(
w=0.5 * np.ones(2),
mu=np.ones(2),
sd=np.ones(2)).random(size=2)
Please provide the full traceback.
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-25-bccf91a988a4> in <module>()
2 w=0.5 * np.ones(2),
3 mu=np.ones(2),
----> 4 sd=np.ones(2)).random(size=2)
~/.venv/sampled/lib/python3.6/site-packages/pymc3/distributions/mixture.py in random(self, point, size, repeat)
133 dist_shape=self.shape,
134 size=size).squeeze()
--> 135 comp_samples = self._comp_samples(point=point, size=size, repeat=repeat)
136
137 if comp_samples.ndim > 1:
~/.venv/sampled/lib/python3.6/site-packages/pymc3/distributions/mixture.py in _comp_samples(self, point, size, repeat)
101 def _comp_samples(self, point=None, size=None, repeat=None):
102 try:
--> 103 samples = self.comp_dists.random(point=point, size=size, repeat=repeat)
104 except AttributeError:
105 samples = np.column_stack([comp_dist.random(point=point, size=size, repeat=repeat)
~/.venv/sampled/lib/python3.6/site-packages/pymc3/distributions/continuous.py in random(self, point, size, repeat)
260 return generate_samples(stats.norm.rvs, loc=mu, scale=tau**-0.5,
261 dist_shape=self.shape,
--> 262 size=size)
263
264 def logp(self, value):
~/.venv/sampled/lib/python3.6/site-packages/pymc3/distributions/distribution.py in generate_samples(generator, *args, **kwargs)
389 prefix_shape,
390 *args, **kwargs)
--> 391 return reshape_sampled(samples, size, dist_shape)
~/.venv/sampled/lib/python3.6/site-packages/pymc3/distributions/distribution.py in reshape_sampled(sampled, size, dist_shape)
305
306 if np.size(sampled) == 1 or repeat_shape or dist_shape:
--> 307 return np.reshape(sampled, repeat_shape + dist_shape)
308 else:
309 return sampled
~/.venv/sampled/lib/python3.6/site-packages/numpy/core/fromnumeric.py in reshape(a, newshape, order)
230 [5, 6]])
231 """
--> 232 return _wrapfunc(a, 'reshape', newshape, order=order)
233
234
~/.venv/sampled/lib/python3.6/site-packages/numpy/core/fromnumeric.py in _wrapfunc(obj, method, *args, **kwds)
55 def _wrapfunc(obj, method, *args, **kwds):
56 try:
---> 57 return getattr(obj, method)(*args, **kwds)
58
59 # An AttributeError occurs if the object does not have
ValueError: cannot reshape array of size 4 into shape (2,)
Please provide any additional information below.
It looks like we are using the same size parameter in two places where they might mean different things around here:
Description of your problem
From
https://stackoverflow.com/questions/46581700/pymc3-sampling-multiple-numbers-from-normal-mixture-distribution-doesnt-work
See the example below
Please provide a minimal, self-contained, and reproducible example.
Please provide the full traceback.
Please provide any additional information below.
It looks like we are using the same
size
parameter in two places where they might mean different things around here:Versions and main components
master
pip
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