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Update time_series.ipynb - scaling methods #1252

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merged 2 commits into from Dec 2, 2019

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rverschuren commented Nov 30, 2019

Note : This is a reapplying of my Pull Request as asked by @MarkDaoust in Pull Request #946

Page concerned : Time series forecasting guide

I noticed that the name of the method used for scaling data did not match its description.

Here are two methods for scaling data :

  • Normalization typically means rescales the values into a range of [0,1].
  • Standardization typically means rescales data to have a mean of 0 and a standard deviation of 1 (unit variance).

This can be confusing when you observe data and notice that the values are not between [0,1].

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Wrong name used to describe the method used to scale data. 
The term normalization was used but it is a standardisation method. 

Normalization : rescales the values into a range of [0,1].
Standardization : rescales data to have a mean of 0 and a standard deviation of 1.
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tfdocsbot commented Nov 30, 2019

Preview and run these notebook edits with Google Colab:

Notebook diffs available on ReviewNB.com.
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lamberta left a comment

Thanks for getting this through

@lamberta lamberta removed the ready to pull label Dec 2, 2019
TensorFlow-Docs-Copybara pushed a commit that referenced this pull request Dec 2, 2019
PiperOrigin-RevId: 283383522
@TensorFlow-Docs-Copybara TensorFlow-Docs-Copybara merged commit 74ae060 into tensorflow:master Dec 2, 2019
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