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Ts_subseq_isconstant parameter in ostinato algorithm #947
Description
Hello
I´m working with the stumpy.ostinato algorithm to find consensus motifs. I'm creating a method wherein some subsequences of the timeseries provided to ostinato should not be taken into account. Is that the purpose of Ts_subseq_isconstant parameter?
I´m trying to read the code of the ostinato implementation, but I cannot completely understand what is the purpose of Ts_subseq_isconstant parameter, and also an example using this parameter is not given. Could you help me?
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seanlaw commentedon Jan 25, 2024
@ogreyesp Thank you for your question and welcome to the STUMPY community.
If you truly do not care about a subsequence then you have two main options:
np.nan. In STUMPY, any subsequence that containsnp.nan/np.infwill have their corresponding distances set tonp.nan.No, the
subseq_isconstantparameter found throughout STUMPY are a way for the user to annotate each subsequences within a time series as "constant" (i.e., are all of the values within the subsequence the same) or not. Due to numerical imprecision, simply checking if the standard deviation within each subsequence is equal to zero is insufficient in some rare cases and so we've provided this parameter to allow for more user control.ogreyesp commentedon Jan 26, 2024
@seanlaw Thank you very much.
Now, it is clearer for me. So, in my case, the second option you mentioned (the use of np.nan) is the most suitable.
Best regards
Óscar