ValueError: bad input shape ()

[ziyuwzf]

Traceback (most recent call last):
File "./demos/classifier.py", line 296, in
infer(args, args.multi)
File "./demos/classifier.py", line 195, in infer
person = le.inverse_transform(maxI)
File "/usr/local/lib/python2.7/dist-packages/sklearn/preprocessing/label.py", line 273, in inverse_transform
y = column_or_1d(y, warn=True)
File "/usr/local/lib/python2.7/dist-packages/sklearn/utils/validation.py", line 797, in column_or_1d
raise ValueError("bad input shape {0}".format(shape))
ValueError: bad input shape ()

OS and hardware information.

• Operating system: ubuntu 16.04
• Torch version: 7
• CPU architecture: i5
• GPU type (if using): 1050ti cuda

when i use scikit-learn-0.20.1,it shows these error.then i use scikit-learn-0.19.0,it solved

[k1ic]

switch to 0.19.0, I got another error:
Traceback (most recent call last):
File "./demos/classifier.py", line 301, in
infer(args, args.multi)
File "./demos/classifier.py", line 198, in infer
predictions = clf.predict_proba(rep).ravel()
File "/Users/yixia/anaconda2/envs/python27/lib/python2.7/site-packages/sklearn/svm/base.py", line 590, in predict_proba
self._check_proba()
File "/Users/yixia/anaconda2/envs/python27/lib/python2.7/site-packages/sklearn/svm/base.py", line 559, in _check_proba
if self._impl not in ('c_svc', 'nu_svc'):
AttributeError: 'SVC' object has no attribute '_impl'

[stale]

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