def sample(self, size, sess):
"""z ~ q(z | lambda)"""
alpha = sess.run([self.alpha])
z = np.zeros((size[1], size[0], self.K))
for d in xrange(self.num_vars):
z[d, :, :] = dirichlet.rvs(alpha[d, :], size = size[0])
return z
def sample(self, size, sess):
"""z ~ q(z | lambda)"""
alpha = sess.run(self.alpha)
z = np.zeros(size)
for pi in xrange(self.num_pis):
z[:, (pi*self.K):((pi+1)*self.K)] = dirichlet.rvs(alpha[pi, :], size=size[0])
return z
def sample(self, size=1):
"""z ~ q(z | lambda)"""
alpha = self.alpha.eval()
z = np.zeros((size, self.num_vars))
for i in range(self.num_factors):
z[:, (i * self.K):((i + 1) * self.K)] = dirichlet.rvs(alpha[i, :],
size=size)
return z
def sample(self, size=1, sess=None):
"""z ~ q(z | lambda)"""
alpha = sess.run(self.alpha)
z = np.zeros((size, self.num_vars))
for i in range(self.num_factors):
z[:, (i*self.K):((i+1)*self.K)] = dirichlet.rvs(alpha[i, :],
size=size)
return z
def sample(self, size=1):
"""x ~ p(x | params)"""
alpha = self.alpha.eval()
x = np.zeros((size, self.num_vars))
for i in range(self.num_factors):
x[:, (i*self.K):((i+1)*self.K)] = dirichlet.rvs(alpha[i, :],
size=size)
return x
def sample(self, size, sess):
"""z ~ q(z | lambda)"""
alpha = sess.run(self.alpha)
z = np.zeros(size)
for pi in xrange(self.num_pis):
z[:,
(pi * self.K):((pi + 1) * self.K)] = dirichlet.rvs(alpha[pi, :],
size=size[0])
return z
def _test(alpha, size):
val_est = dirichlet.rvs(alpha, size=size).shape
val_true = (size, ) + np.asarray(alpha).shape
assert val_est == val_true
def sample(self, size=1):
alpha = self.alpha.eval()
return dirichlet.rvs(alpha, size=size)
def np_sample(alpha):
# get `size` from lexical scoping
return dirichlet.rvs(alpha, size=n).astype(np.float32)
def np_sample(alpha):
# get ``n`` from lexical scoping
return dirichlet.rvs(alpha, size=n).astype(np.float32)
def _test(alpha, size):
val_est = dirichlet.rvs(alpha, size=size).shape
val_true = (size, ) + np.asarray(alpha).shape
assert val_est == val_true
