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\f0\fs22 \cf2 \CocoaLigature0 estimating with graph cuts general gco...\
/home/nt365/anaconda3/envs/ph3/lib/python2.7/site-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.\
  warnings.warn(msg, category=DeprecationWarning)\
query\
1 212878 446464\
estimating with graph cuts general gco...\
/home/nt365/anaconda3/envs/ph3/lib/python2.7/site-packages/sklearn/utils/deprecation.py:70: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.\
  warnings.warn(msg, category=DeprecationWarning)\
(212878, 20)\
Process Process-3:\
Traceback (most recent call last):\
  File "/home/nt365/anaconda3/envs/ph3/lib/python2.7/multiprocessing/process.py", line 267, in _bootstrap\
    self.run()\
  File "/home/nt365/anaconda3/envs/ph3/lib/python2.7/multiprocessing/process.py", line 114, in run\
    self._target(*self._args, **self._kwargs)\
  File "phylo_hmrf.py", line 303, in _predict_posteriors\
    labels, logprob = self.predict(X[s1:s2],region_id)\
  File "phylo_hmrf.py", line 480, in predict\
    state, logprob = self._estimate_state_graphcuts_gco(X,init_labels,edge_idList_undirected,edge_weightList_undirected)\
  File "phylo_hmrf.py", line 496, in _estimate_state_graphcuts_gco\
    labels = pygco.cut_general_graph(edge_idList_undirected, edge_weightList_undirected, unary_cost1, V,\
AttributeError: 'module' object has no attribute 'cut_general_graph'\
(233586, 20)\
Process Process-4:\
Traceback (most recent call last):\
  File "/home/nt365/anaconda3/envs/ph3/lib/python2.7/multiprocessing/process.py", line 267, in _bootstrap\
    self.run()\
  File "/home/nt365/anaconda3/envs/ph3/lib/python2.7/multiprocessing/process.py", line 114, in run\
    self._target(*self._args, **self._kwargs)\
  File "phylo_hmrf.py", line 303, in _predict_posteriors\
    labels, logprob = self.predict(X[s1:s2],region_id)\
  File "phylo_hmrf.py", line 480, in predict\
    state, logprob = self._estimate_state_graphcuts_gco(X,init_labels,edge_idList_undirected,edge_weightList_undirected)\
  File "phylo_hmrf.py", line 496, in _estimate_state_graphcuts_gco\
    labels = pygco.cut_general_graph(edge_idList_undirected, edge_weightList_undirected, unary_cost1, V,\
AttributeError: 'module' object has no attribute 'cut_general_graph'\
}