def _fixed_init(self): MoG._fixed_init(self) self.s = np.random.uniform(low=0.5, high=0.5, size=(self.num_comp, self.num_process, self.num_dim)) self.log_s = np.log(self.s)
def _fixed_init(self): MoG._fixed_init(self) for k in range(self.num_comp): for j in range(self.num_process): self.L_flatten[k, j, :] = np.random.uniform( low=1.0, high=1.0, size=self.get_sjk_size())
def _fixed_init(self): MoG._fixed_init(self) for k in range(self.num_comp): for j in range(self.num_process): self.L_flatten[k,j,:] = np.random.uniform(low=1.0, high=1.0, size=self.get_sjk_size())