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Function nipalsPCA is throwing an attribute error "module 'numpy' has no attirbute 'bool'. This is caused by using dtype=np.bool in cross_val.py. I suggest changing to bool as np.bool was depreciated in numpy version 1.20.
The text was updated successfully, but these errors were encountered:
File xxxxx/cross_val.py:76, in LeaveOneOut.iter(self)
74 n = self.n
75 for i in range(n):
---> 76 test_index = np.zeros(n, dtype=np.bool)
77 test_index[i] = True
78 train_index = np.logical_not(test_index)
AttributeError: module 'numpy' has no attribute 'bool'. np.bool was a deprecated alias for the builtin bool. To avoid this error in existing code, use bool by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use np.bool_ here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
Function nipalsPCA is throwing an attribute error "module 'numpy' has no attirbute 'bool'. This is caused by using dtype=np.bool in cross_val.py. I suggest changing to bool as np.bool was depreciated in numpy version 1.20.
The text was updated successfully, but these errors were encountered: