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Avoid using window size #7

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amper43 opened this issue May 2, 2019 · 2 comments
Open

Avoid using window size #7

amper43 opened this issue May 2, 2019 · 2 comments
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@amper43
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amper43 commented May 2, 2019

change learning / detection logic to avoid using window size based approach

@amper43
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amper43 commented May 2, 2019

@VargBurz can you please add more information about window size problem and new approach?

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VargBurz commented May 3, 2019

The main problem of window size approach is the segments passed to learning contain unnecessary information that spoils learning results.
It is necessary to clear segments and select only the pattern itself.
The main problem of this approach is that patterns should be normalized.

@jonyrock jonyrock transferred this issue from hastic-zzz/hastic-server May 10, 2020
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