one hot encoding numpy
labels = (np.arange(num_labels) == labels[:,None]).astype(np.float32)one hot encoding numpy
labels = (np.arange(num_labels) == labels[:,None]).astype(np.float32)1d array to one hot
>>> a = np.array([1, 0, 3])
>>> b = np.zeros((a.size, a.max()+1))
>>> b[np.arange(a.size),a] = 1
>>> b
array([[ 0., 1., 0., 0.],
[ 1., 0., 0., 0.],
[ 0., 0., 0., 1.]])Copyright © 2021 Codeinu
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