Chapter02/car.py returns bad input shape

[mikayla-grace]

Chapter02/car.py returns bad input shape with scikit-learn 0.18-2. How to fix?

-> python car.py
/usr/lib64/python2.7/site-packages/sklearn/cross_validation.py:44: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.
  "This module will be removed in 0.20.", DeprecationWarning)
Accuracy of the classifier: 78.19%
Traceback (most recent call last):
  File "car.py", line 45, in <module>
    input_data_encoded[i] = int(label_encoder[i].transform(input_data[i]))
  File "/usr/lib64/python2.7/site-packages/sklearn/preprocessing/label.py", line 143, in transform
    y = column_or_1d(y, warn=True)
  File "/usr/lib64/python2.7/site-packages/sklearn/utils/validation.py", line 562, in column_or_1d
    raise ValueError("bad input shape {0}".format(shape))
ValueError: bad input shape ()

[kietikul]

I've got the same problem. Here is the solution that I figured out.
Replace the code in line 45 by the following line:

  input_data_encoded[i] = int(label_encoder[i].transform([input_data[i]]))

The function transform() takes parameter as a list of values. Even you have a single value, you still have to convert into a list of a single value, i.e., [input_data[i]].