def runTest(self):
data = self._world.observe(num_samples)
p = CBN.from_bn(self._skel.copy(copy_domain=True))
print 'learning from',data.size(),'samples: BDeu score:',p.bdeu_score(data)
p.estimate_parameters(data)
self.failUnless(same_factor(distribution_of(p), distribution_of(self._skel), dp=2, verbose=True))
def runTest(self):
samples = GibbsSampler(self._minibn_do).samples(100000)
data = CompactFactor(samples,domain=Domain())
p = self._minibn_do.copy(copy_domain=True)
p.estimate_parameters(data)
self.failUnless(same_factor(distribution_of(p), distribution_of(self._minibn_do), dp=2, verbose=True))
def runTest(self):
data = self._world.query(self._intervention, num_samples)
p = self._query.copy(copy_domain=True)
print 'learning from',data.size(),'samples: BDeu score:',p.bdeu_score(data)
p.estimate_parameters(data)
self.failUnless(same_factor(distribution_of(p), distribution_of(self._query), dp=2, verbose=True))
