scaling individual samples to have unit norm
# scaling individual samples to have unit norm
X = [[ 1., -1., 2.],
[ 2., 0., 0.],
[ 0., 1., -1.]]
X_normalized = preprocessing.normalize(X, norm='l2')
X_normalized
array([[ 0.40..., -0.40..., 0.81...],
[ 1. ..., 0. ..., 0. ...],
[ 0. ..., 0.70..., -0.70...]])
normalizer = preprocessing.Normalizer().fit(X) # fit does nothing
normalizer
# Normalizer()
normalizer.transform(X)
# array([[ 0.40..., -0.40..., 0.81...],
# [ 1. ..., 0. ..., 0. ...],
# [ 0. ..., 0.70..., -0.70...]])
normalizer.transform([[-1., 1., 0.]])
# array([[-0.70..., 0.70..., 0. ...]])
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