August 2019
Intermediate to advanced
342 pages
9h 35m
English
Content preview from Hands-On Artificial Intelligence for Cybersecurity
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Power transformation
In the following example, we see the PowerTransformer class of scikit-learn in action, applying the zero-mean, unit-variance normalization to the transformed output using a Box–Cox transformation:
from sklearn import preprocessingimport numpy as nppt = preprocessing.PowerTransformer(method='box-cox', standardize=False) X_lognormal = np.random.RandomState(616).lognormal(size=(3, 3))pt.fit_transform(X_lognormal)
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.