Missing handle_unknown parameter in OrdinalEncoder #12365
Description
Description
When trying to fit OrdinalEncoder with predefined string categorical values it raises an expection of
AttributeError: 'OrdinalEncoder' object has no attribute 'handle_unknown'
Steps/Code to Reproduce
import numpy as np
from sklearn.preprocessing import OrdinalEncoder
a = np.array([["A", "A", "B"]]).T
enc = OrdinalEncoder([["A", "B"]])
enc.fit(a)Expected Results
No error is thrown.
Actual Results
/usr/local/lib/python3.6/dist-packages/sklearn/externals/joblib/externals/cloudpickle/cloudpickle.py:47: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
import imp
Traceback (most recent call last):
File "bug.py", line 9, in <module>
enc.fit(a)
File "/usr/local/lib/python3.6/dist-packages/sklearn/preprocessing/_encoders.py", line 774, in fit
self._fit(X)
File "/usr/local/lib/python3.6/dist-packages/sklearn/preprocessing/_encoders.py", line 85, in _fit
if self.handle_unknown == 'error':
AttributeError: 'OrdinalEncoder' object has no attribute 'handle_unknown'
Versions
System
------
python: 3.6.6 (default, Sep 12 2018, 18:26:19) [GCC 8.0.1 20180414 (experimental) [trunk revision 259383]]
executable: /usr/bin/python3
machine: Linux-4.15.0-36-generic-x86_64-with-Ubuntu-18.04-bionic
BLAS
----
macros:
lib_dirs:
cblas_libs: cblas
Python deps
-----------
pip: 18.0
setuptools: 39.0.1
sklearn: 0.20.0
numpy: 1.15.2
scipy: 1.1.0
Cython: None
pandas: 0.23.4