reshape predictors

Author: mario

code/python/cni_toolbox/HGR.py

@@ -251,7 +251,7 @@ def get_parameters(self, n_batch = 10000,
         results['mu_x'][batch] = cx / self.r_stimulus * max_radius * 2 - max_radius
         results['mu_y'][batch] = -cy / self.r_stimulus * max_radius * 2 - max_radius
         R = np.sqrt(results['mu_x'][batch]**2 + results['mu_y'][batch]**2)
-        P = np.hstack((m_image, R))
+        P = np.hstack((m_image.reshape(-1,1), R.reshape(-1,1)))
         results['sigma'][batch] = np.matmul(P, beta)
 
         i = int(v / n_mask * 21)