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Add Contrast Profile Tutorial
This paper is here
The supporting site is here
The main goal of a contrast profile is to annotate each subsequence of a time series so that you can discover if there are "good" subsequences that can be used for time series classification (see Definition 6 in the paper above). In order to extract these subsequences, you need to have 2 time series. One time series, , and another time series,
. It is recommended that you compute the the Contrast Profile only when you believe that the two following assumptions are likely to be true:
contains at least two behaviors that are unique to the phenomena of interest.
contains zero behaviors of interest.
The following notebook reproduces the PDF which is contained in "ContrastProfile_GettingStarted.zip" contrast_profile_notebook.pdf
Thanks @JaKasb! This is a great start. Would you care to contribute a full tutorial for this?
After re-reading the paper, I have come to the conclusion that I can't imagine a specific topic that needs an extra tutorial. The paper already explains online-updates, k-Platos, and comparisons of Contrast-Profile vs Shapelets/HMM/LSTM.
In case it matters, our tutorials generally reproduce one or more of the figures in the paper and tries to elaborate on any insights/thoughts beyond what was provided in the paper that might not immediately be obvious to non-experts. Sometimes, reading the same concepts but explained in different ways may help others digest the information. That's usually the goal of our STUMPY tutorials. Code is one component but educating users on how to think about and interpret their results is equally as important. It may help provide more perspective.
Is there still demand to reproduce this paper? Basic idea looks not complicated.
Is there still demand to reproduce this paper? Basic idea looks not complicated.
Sure! If you'd like to work on a docs/Tutorial_Constrast_Profile.ipynb then I can review it. I think the code should be straightforward but providing a clear explanation is more important