dmcskim / kinconform Goto Github PK

In [1]: path = './model/imputer_and_model.p'

In [2]: from pickle import load

In [3]: with open(path, 'r') as f:
   ...:     model = load(f)
   ...:     
---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
<ipython-input-3-8d499f3e1102> in <module>()
      1 with open(path, 'r') as f:
----> 2     model = load(f)
      3 

/home/edik/miniconda3/envs/test/lib/python2.7/pickle.pyc in load(file)
   1382 
   1383 def load(file):
-> 1384     return Unpickler(file).load()
   1385 
   1386 def loads(str):

/home/edik/miniconda3/envs/test/lib/python2.7/pickle.pyc in load(self)
    862             while 1:
    863                 key = read(1)
--> 864                 dispatch[key](self)
    865         except _Stop, stopinst:
    866             return stopinst.value

/home/edik/miniconda3/envs/test/lib/python2.7/pickle.pyc in load_global(self)
   1094         module = self.readline()[:-1]
   1095         name = self.readline()[:-1]
-> 1096         klass = self.find_class(module, name)
   1097         self.append(klass)
   1098     dispatch[GLOBAL] = load_global

/home/edik/miniconda3/envs/test/lib/python2.7/pickle.pyc in find_class(self, module, name)
   1128     def find_class(self, module, name):
   1129         # Subclasses may override this
-> 1130         __import__(module)
   1131         mod = sys.modules[module]
   1132         klass = getattr(mod, name)

ImportError: No module named sklearn.preprocessing.imputation

---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
<ipython-input-3-d171d5e53113> in <module>()
----> 1 do_one(args=ARGS(['./kinconform/test/2gs2.pdb', './kinconform/test/4afj.pdb'], './kinconform/'))

/home/edik/Projects/composing_the_dataset/kinconform/kinconform.py in do_one(args)
    172 
    173     #load models
--> 174     imp,model = pickle.load(open(basedir+'model/imputer_and_model.p','rb'), encoding='bytes')
    175     scaler = pickle.load(open(basedir+'model/scaler.p','rb'))
    176 

sklearn/tree/_tree.pyx in sklearn.tree._tree.Tree.__setstate__ (sklearn/tree/_tree.c:7343)()

KeyError: 'node_count'