我想在python 3.5中使用模型（numpy 1.11.2，sklearn 0.18.1）
import pickle
from sklearn.tree import DecisionTreeRegressor
clf = DecisionTreeRegressor()
X = np.array([[1,2,3,4],[1,1,2,2],[1,2,1,2]]).T
y = [1,1,0,0]
clf.fit(X,y)
with open(join(path_to_data, 'models', 'debug.model'), 'wb') as f:
pickle.dump(clf, f, protocol=2)
酸洗之后我尝试在python 2.7中取消模型（numpy 1.11.2，sklearn 0.18.1）
import pickle
with open(join(path_to_data, 'models', 'debug.model'), 'rb') as f:
clf = pickle.load(f)
但它会引发错误：
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-78-2eaf35b8e6d9> in <module>()
----> 1 joblib.load(join(path_to_data,'models','queryforest_debug.model'))
/home/iiivanitskiy/.local/lib/python2.7/site-packages/sklearn/externals/joblib/numpy_pickle.pyc in load(filename, mmap_mode)
573 return load_compatibility(fobj)
574
--> 575 obj = _unpickle(fobj, filename, mmap_mode)
576
577 return obj
/home/iiivanitskiy/.local/lib/python2.7/site-packages/sklearn/externals/joblib/numpy_pickle.pyc in _unpickle(fobj, filename, mmap_mode)
505 obj = None
506 try:
--> 507 obj = unpickler.load()
508 if unpickler.compat_mode:
509 warnings.warn("The file '%s' has been generated with a "
/usr/lib/python2.7/pickle.pyc in load(self)
856 while 1:
857 key = read(1)
--> 858 dispatch[key](self)
859 except _Stop, stopinst:
860 return stopinst.value
/home/iiivanitskiy/.local/lib/python2.7/site-packages/sklearn/externals/joblib/numpy_pickle.pyc in load_build(self)
325 NDArrayWrapper is used for backward compatibility with joblib <= 0.9.
326 """
--> 327 Unpickler.load_build(self)
328
329 # For backward compatibility, we support NDArrayWrapper objects.
/usr/lib/python2.7/pickle.pyc in load_build(self)
1215 setstate = getattr(inst, "__setstate__", None)
1216 if setstate:
-> 1217 setstate(state)
1218 return
1219 slotstate = None
ValueError: non-string names in Numpy dtype unpickling
我们有没有在python 2 DecisionTreeRegressor中进行unpickle的方法，它在python 3中被腌制？