Error on Python 3

[Pauldic]

Am trying reuse this demo in python 3, but got error exactly on this line resutl = classifier.predict_proba(numpy.array(vector)) while same code work for Python 2.7. Please any idea on what I need to do to get this working on Python 3x

>>> data['is_duplicates'] = Hash.predict(vector) Traceback (most recent call last): File "<input>", line 1, in <module> data['is_duplicates'] = Hash.predict(vector) File "/path/to/python/comparer/apps/core/hash_utils.py", line 111, in predict resutl = classifier.predict_proba(numpy.array(vector)) File "/path/to/python/comparer/venv/lib/python3.6/site-packages/sklearn/linear_model/logistic.py", line 1336, in predict_proba return super(LogisticRegression, self)._predict_proba_lr(X) File "/path/to/python/comparer/venv/lib/python3.6/site-packages/sklearn/linear_model/base.py", line 338, in _ predict_proba_lr prob = self.decision_function(X) File "/path/to/python/comparer/venv/lib/python3.6/site-packages/sklearn/linear_model/base.py", line 300, in d ecision_function X = check_array(X, accept_sparse='csr') File "/path/to/python/comparer/venv/lib/python3.6/site-packages/sklearn/utils/validation.py", line 441, in ch eck_array "if it contains a single sample.".format(array)) ValueError: Expected 2D array, got 1D array instead: array=[1 0 0 0 1 0 1 0]. Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample.

[Pauldic]

I confirmed this is not Python 3 specific issue but has to do with scikit-learn version, down grading from 0.19.1 to 0.18.2 clarified what the issue is with the depreciation warning be:

/comparer/venv/lib/python3.6/site-packages/sklearn/utils/validation.py:395: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and will raise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample. DeprecationWarning