oneOne hot vectors represent which class is present in a given item of data:
vectorsVectors of probabilities represent the outputs of my classifiers, assigning a probability to each class
When I program this in pythonPython and run it on the above targets
and probs
matrices, I get a result of $1.0069$
>>> def brier_binbrier_bin_(targets, probs):
... return np.averagemean((targets - probs) ** 2, weights=None)
>>> brier_bin(targets[:,2], probs[:,2])
0.13272999999999996