Getting Attribute Error while loading Word_Encoder in Python3 Ubuntu 16.04

[rajeshkumargp]

While executing the below line

word_encoder = joblib.load(os.path.abspath(wencoder))
in chempred-example.py

Error:

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-15-c6df7829b65d> in <module>()
----> 1 word_encoder = joblib.load(os.path.abspath(wencoder))

~/.local/lib/python3.5/site-packages/joblib/numpy_pickle.py in load(filename, mmap_mode)
    576                     return load_compatibility(fobj)
    577 
--> 578                 obj = _unpickle(fobj, filename, mmap_mode)
    579 
    580     return obj

~/.local/lib/python3.5/site-packages/joblib/numpy_pickle.py in _unpickle(fobj, filename, mmap_mode)
    506     obj = None
    507     try:
--> 508         obj = unpickler.load()
    509         if unpickler.compat_mode:
    510             warnings.warn("The file '%s' has been generated with a "

/usr/lib/python3.5/pickle.py in load(self)
   1037                     raise EOFError
   1038                 assert isinstance(key, bytes_types)
-> 1039                 dispatch[key[0]](self)
   1040         except _Stop as stopinst:
   1041             return stopinst.value

/usr/lib/python3.5/pickle.py in load_global(self)
   1332         module = self.readline()[:-1].decode("utf-8")
   1333         name = self.readline()[:-1].decode("utf-8")
-> 1334         klass = self.find_class(module, name)
   1335         self.append(klass)
   1336     dispatch[GLOBAL[0]] = load_global

/usr/lib/python3.5/pickle.py in find_class(self, module, name)
   1386             return _getattribute(sys.modules[module], name)[0]
   1387         else:
-> 1388             return getattr(sys.modules[module], name)
   1389 
   1390     def load_reduce(self):

AttributeError: module 'sciner.preprocessing.parsing' has no attribute 'transform'

[grayfall]

@rajeshkumargp I apologise for a delayed response. The current commit in the master branch broke backwards compatibility. The repository was intended for experiments. If you want to use the model, you can use the stable release from another repository: https://github.com/skoblov-lab/SciLK/tree/chemdner-pub.