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TypeError                                 Traceback (most recent call last)
<ipython-input-121-48f3aad5f78e> in <module>()
      4     print(col)
      5     le.fit(list(train[col]) + list(cv[col]))
----> 6     train[col] = le.transform(train[col])
      7     cv[col] = le.transform(cv[col])

/opt/conda/lib/python3.6/site-packages/sklearn/preprocessing/label.py in transform(self, y)
    128         y = column_or_1d(y, warn=True)
    129 
--> 130         classes = np.unique(y)
    131         if len(np.intersect1d(classes, self.classes_)) < len(classes):
    132             diff = np.setdiff1d(classes, self.classes_)

/opt/conda/lib/python3.6/site-packages/numpy/lib/arraysetops.py in unique(ar, return_index, return_inverse, return_counts, axis)
    208     ar = np.asanyarray(ar)
    209     if axis is None:
--> 210         return _unique1d(ar, return_index, return_inverse, return_counts)
    211     if not (-ar.ndim <= axis < ar.ndim):
    212         raise ValueError('Invalid axis kwarg specified for unique')

/opt/conda/lib/python3.6/site-packages/numpy/lib/arraysetops.py in _unique1d(ar, return_index, return_inverse, return_counts)
    275         aux = ar[perm]
    276     else:
--> 277         ar.sort()
    278         aux = ar
    279     flag = np.concatenate(([True], aux[1:] != aux[:-1]))

TypeError: '>' not supported between instances of 'float' and 'str'