I just upgraded scikit from 14.1 to 15.1 to take advantage of the speed
improvements in the random forest classifier. However, when I tried loading the
model created (using 14.1), it fails to load it. Here is the error. Please
advice. I’m simply loading it as follows. Thanks a lot.
Code:
with open(model_file, 'r') as fmodel:
rf = pickle.load(fmodel)
Error:
File "/home/pranav/links/projects/generator/generator/apply_ml_model.py",
line 184, in recommend_links
rf = pickle.load(fmodel)
File "/usr/local/lib/python2.7/pickle.py", line 1378, in load
return Unpickler(file).load()
File "/usr/local/lib/python2.7/pickle.py", line 858, in load
dispatch[key](self)
File "/usr/local/lib/python2.7/pickle.py", line 1133, in load_reduce
value = func(*args)
File "_tree.pyx", line 2217, in sklearn.tree._tree.Tree.__cinit__
(sklearn/tree/_tree.c:17530)
TypeError: __cinit__() takes exactly 3 positional arguments (8 given)
Regards,
Pranav.
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