debug$

eval_mixed_model.py

@@ -89,6 +89,9 @@ H = G.copy()
 float_epsilon = np.finfo(float).eps
 df_data["p_0"] = df_data.apply(lambda x:1 if G.has_edge(x.u,x.v) else 0,axis =1)
 for i in range(1,NB_ITERATION+1):
+    if H.size() < 30:
+        df_data["p_{0}".format(i)] = df_data["p_{0}".format(i-1)]
+        continue
     old_probs = dict(df_data["hash_ p_{0}".format(i-1).split()].values)
     auc_sbm,auc_spatial = get_aucs(H)
     if VERBOSE : print("SBM: ",auc_sbm,"SPATIAL: ",auc_spatial)