active-learning
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Fixes random seeding
self.already_selected
is initialized to []
in the constructor but is never assigned None
so that will always be false.
If already_selected
is empty, ind
will be initialized to np.argmax(self.min_distances)
, which was initialized to None
and never reassigned so the first selected datapoint will always be np.argmax(None) = 0