def setUp(self):
self.alpha0 = 2.0
self.allocM = MixModel('EM', dict(alpha0=self.alpha0))
self.N = np.asarray([1., 2., 3, 4, 5.])
self.SS = SuffStatBag(K=5, D=1)
self.SS.setField('N', self.N, dims='K')
self.resp = np.random.rand(100, 3)
self.precompEntropy = np.sum(self.resp * np.log(self.resp), axis=0)
def setUp(self):
'''
Create a stupid simple case for making sure we're calculating things correctly
'''
self.alpha0 = 1.0
self.allocM = MixModel('EM', dict(alpha0=self.alpha0))
self.N = np.asarray([1., 2., 3, 4, 5.])
self.SS = SuffStatBag(K=5, D=1)
self.SS.setField('N', self.N, dims='K')
self.resp = np.random.rand(100, 3)
self.precompEntropy = np.sum(self.resp * np.log(self.resp), axis=0)
