Try this testing code and pay attention to np.array([1,2,3], dtype=np.float64). It seems self.svm.decision_function(vectors) returns 1d array instead of 2d. If you replace [1,2,3] to [[1,2,3], [4,5,6]] everything will be ok.
import numpy as np
predictions = np.array([1,2,3], dtype=np.float64)
predictions = np.transpose(predictions)[0]
predictions = predictions / 2 + 0.5
predictions[predictions > 1] = 1
predictions[predictions < 0] = 0
Output:
Traceback (most recent call last):
File "D:\temp\test.py", line 7, in <module>
predictions[predictions > 1] = 1
TypeError: 'numpy.float64' object does not support item assignment
So, what your vectors are?
