Traceback (most recent call last):

 "/sites/metrics_dev/env/lib/python3.3/site-packages/pyramid/router.py", line 251, in __call__
response = self.invoke_subrequest(request, use_tweens=True)

 "/sites/metrics_dev/env/lib/python3.3/site-packages/pyramid/router.py", line 227, in invoke_subrequest
response = handle_request(request)

 "/sites/metrics_dev/env/lib/python3.3/site-packages/pyramid_debugtoolbar-1.0.4-py3.3.egg/pyramid_debugtoolbar/toolbar.py", line 108, in toolbar_tween
list(filter(None, map(request.path.startswith, exclude))) or

 "/sites/metrics_dev/env/lib/python3.3/site-packages/WebOb-1.2.3-py3.3.egg/webob/request.py", line 486, in path
bpath = bytes_(self.path_info, self.url_encoding)

 "/sites/metrics_dev/env/lib/python3.3/site-packages/WebOb-1.2.3-py3.3.egg/webob/descriptors.py", line 68, in fget
return req.encget(key, encattr=encattr)

 "/sites/metrics_dev/env/lib/python3.3/site-packages/WebOb-1.2.3-py3.3.egg/webob/request.py", line 167, in encget
return bytes_(val, 'latin-1').decode(encoding)UnicodeDecodeError: 'utf-8' codec can't decode byte 0xc5 in position 1: unexpected end of data
Traceback (most recent call last):


 "<stdin>", line 13, in <module>


 "/Users/marcoslpbueno/automlpy/env/lib/python3.8/site-packages/autosklearn/estimators.py", line 636, in predict_proba

pred_proba = super().predict_proba(


 "/Users/marcoslpbueno/automlpy/env/lib/python3.8/site-packages/autosklearn/estimators.py", line 456, in predict_proba

return self.automl_.predict_proba(


 "/Users/marcoslpbueno/automlpy/env/lib/python3.8/site-packages/autosklearn/automl.py", line 1337, in predict_proba

return super().predict(X, batch_size=batch_size, n_jobs=n_jobs)


 "/Users/marcoslpbueno/automlpy/env/lib/python3.8/site-packages/autosklearn/automl.py", line 858, in predict

X = self.InputValidator.validate_features(X)


 "/Users/marcoslpbueno/automlpy/env/lib/python3.8/site-packages/autosklearn/data/validation.py", line 158, in validate_features

X = self._check_and_encode_features(X)


 "/Users/marcoslpbueno/automlpy/env/lib/python3.8/site-packages/autosklearn/data/validation.py", line 427, in _check_and_encode_features

raise ValueError(
ValueError: During fit, the input features contained categorical values in columns['A1', 'A4', 'A5', 'A6', 'A8', 'A9', 'A11', 'A12'], with categories [array(['0', '1'], dtype=object), array(['1', '2'], dtype=object), array(['1', '10', '11', '12', '13', '14', '2', '3', '4', '5', '6', '7',
