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spin-glass/one-hot lable

Created May 2, 2017 00:57
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one-hot label
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one-hot lable
from keras.utils import np_utils
from sklearn.preprocessing import LabelEncoder
import numpy as np
feature_labels = np.array([1, 1, 2, 3, 4, 3, 4])
encoder = LabelEncoder()
encoder.fit(feature_labels)
feature_labels = encoder.transform(feature_labels)
feature_labels = np_utils.to_categorical(feature_labels)
'''
array([[ 1., 0., 0., 0.],
[ 1., 0., 0., 0.],
[ 0., 1., 0., 0.],
[ 0., 0., 1., 0.],
[ 0., 0., 0., 1.],
[ 0., 0., 1., 0.],
[ 0., 0., 0., 1.]])
'''
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