tsmp | R Functions implementing UCR Matrix Profile Algorithm | Learning library
kandi X-RAY | tsmp Summary
kandi X-RAY | tsmp Summary
R Functions implementing UCR Matrix Profile Algorithm
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QUESTION
I'd like to use a custom annotation vector (av) for a matrix profile (mp) produced using the tsmp package, but I am unsure how to amend said profile produced by e.g. the compute function.
I note that the package provides some functions to do this for "standard" cases, such as av_complexity, av_hardlimit_artifact etc. and then av_apply, but I want to apply a custom av. I have tried directly replacing the mp in the results produced by compute, i.e.
...ANSWER
Answered 2021-Mar-22 at 20:24Try this way:
- create an annotation vector with the same size as the matrix profile (d_size - w_size + 1)
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