def sampling_E(expr,
given_condition=None,
library='scipy',
numsamples=1,
evalf=True,
seed=None,
**kwargs):
"""
Sampling version of E
See Also
========
P
sampling_P
sampling_density
"""
samples = list(
sample_iter(expr,
given_condition,
library=library,
numsamples=numsamples,
seed=seed,
**kwargs))
result = Add(*[samp for samp in samples]) / numsamples
if evalf:
return result.evalf()
else:
return result
def sampling_E(condition, given=None, numsamples=1, evalf=True, **kwargs):
"""
Sampling version of E
See Also
========
P
sampling_P
"""
samples = sample_iter(condition, given, numsamples=numsamples, **kwargs)
result = Add(*list(samples)) / numsamples
if evalf: return result.evalf()
else: return result
def sampling_E(condition, given=None, numsamples=1, evalf=True, **kwargs):
"""
Sampling version of E
See Also
========
P
sampling_P
"""
samples = sample_iter(condition, given, numsamples=numsamples, **kwargs)
result = Add(*list(samples)) / numsamples
if evalf:
return result.evalf()
else:
return result