diff --git a/da/baseclasses/optimizer.py b/da/baseclasses/optimizer.py index f1e15810a28b01419dccf961c94f6b9df77ee284..09cf304849e06651b82a264b028b642a25db72de 100755 --- a/da/baseclasses/optimizer.py +++ b/da/baseclasses/optimizer.py @@ -90,6 +90,7 @@ class Optimizer(object): self.X_prime[n*self.nparams:(n+1)*self.nparams,:] = np.transpose(np.array([m.ParameterValues for m in members])) if members[0].ModelSample != None: + allobs.extend( members[0].ModelSample.Data.getvalues('obs') ) allsamples.extend( members[0].ModelSample.Data.getvalues('simulated') ) allmdm.extend( members[0].ModelSample.Data.getvalues('mdm') ) @@ -99,12 +100,13 @@ class Optimizer(object): memsamples.append( mem.ModelSample.Data.getvalues('simulated') ) print np.array(memsamples).shape - allmemsamples.extend(np.array(memsamples) ) + if n == 0: + allmemsamples = np.array(memsamples) + else: + allmemsamples = np.concatentate(allmemsamples,np.array(memsamples),axis=0) + - print np.array(allmemsamples).shape - - print np.transpose(np.array(allmemsamples)).shape - self.HX_prime[:,:] = np.transpose(np.array(allmemsamples)) + self.HX_prime[:,:] = np.transpose(allmemsamples) self.obs[:] = np.array(allobs) self.Hx[:] = np.array(allobs)