leonidk
diff --git a/‎cube-covariance test.ipynb
+22-1,030 b/‎cube-covariance test.ipynb
+22-1,030
diff --git a/‎format_graphs-Copy1.ipynb
+9-197 b/‎format_graphs-Copy1.ipynb
+9-197
diff --git a/‎format_graphs.ipynb
+10-175 b/‎format_graphs.ipynb
+10-175
diff --git a/‎gen_gmm.ipynb
+6-7,611 b/‎gen_gmm.ipynb
+6-7,611
diff --git a/‎gmm_fit2.py
+1-1 b/‎gmm_fit2.py
+1-1
diff --git a/‎graph_scales.ipynb
+9-643 b/‎graph_scales.ipynb
+9-643
diff --git a/‎ground_truth_testing.ipynb
+15-4,210 b/‎ground_truth_testing.ipynb
+15-4,210
diff --git a/‎icp_test.ipynb
+39-1,940 b/‎icp_test.ipynb
+39-1,940
diff --git a/‎likelihood.ipynb
+4-17 b/‎likelihood.ipynb
+4-17
diff --git a/‎mixture/base.py
+2-2 b/‎mixture/base.py
+2-2
diff --git a/‎plot_trajec.ipynb
+7-30 b/‎plot_trajec.ipynb
+7-30
diff --git a/‎reg_results.ipynb
+31-9,659 b/‎reg_results.ipynb
+31-9,659
diff --git a/‎reg_viz-extra.ipynb
+16-474 b/‎reg_viz-extra.ipynb
+16-474
diff --git a/‎reg_viz.ipynb
+10-429 b/‎reg_viz.ipynb
+10-429
@@ -31,7 +31,7 @@ def get_tri_covar(tris):
 face_vert = mesh0.vertices[mesh0.faces.reshape(-1),:].reshape((mesh0.faces.shape[0],3,-1))
 data_covar = get_tri_covar(face_vert)
 
-with open('bunny_1k_com_verts_monday_25.log','w') as fout:
+with open('bunny_1k_com_verts_tuesday_25.log','w') as fout:
     for km in [6,12,25,50,100,200,400]:
         for init in ['kmeans','random']:
             for exp_n in range(10):
 
@@ -145,7 +145,7 @@ def _initialize_parameters(self, X, random_state):
 
         if self.init_params == 'kmeans':
             resp = np.zeros((n_samples, self.n_components))
-            label = cluster.MiniBatchKMeans(n_clusters=self.n_components, n_init=1,
+            label = cluster.MiniBatchKMeans(n_clusters=self.n_components, n_init=1,batch_size=150,
                                    random_state=random_state).fit(X).labels_
             resp[np.arange(n_samples), label] = 1
         elif self.init_params == 'random':
@@ -249,7 +249,7 @@ def fit_predict(self, X, y=None):
                 change = lower_bound - prev_lower_bound
                 self._print_verbose_msg_iter_end(n_iter, change)
 
-                if abs(change) < self.tol:
+                if False and abs(change) < self.tol:
                     self.converged_ = True
                     break