gmm_creation

This commit is contained in:
beiwang 2016-11-11 19:18:39 +00:00
parent 6aab528af2
commit 567601344c

View file

@ -55,15 +55,12 @@ class GmmBayesianGPLVM(SparseGP_MPI):
# Need to define what the model is initialised like
pi = np.ones(n_component) / float(n_component) # p(k)
variational_pi = pi.copy()
# px_mu = np.zeros(n_component)
# px_var = np.ones(n_component)
px_mu = [[]] * n_component
px_var = [[]] * n_component
for i in range(n_component):
px_mu[i] = np.zeros(X_variance.shape)
px_var[i] = np.ones(X_variance.shape)
# print("Should print")
# print(pi)
# print(px_mu)