Finding correct window size for the motif discovery #791
Replies: 2 comments 9 replies
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@adityabhandwalkar Unfortunately, there is no secret to choosing |
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@rajivsam I created an issue here and it looks like they actually have notebook with some code! |
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@seanlaw , thanks for the template, I was able to recreate the results in the paper. I did the evaluation for two random datasets, the google colab notebook is here: |
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Perfect! This is super helpful @rajivsam. Would you be interested in submitting a PR for the issue (of creating a standalone notebook reproducer, which you've basically done)? You've already done a lot so there is absolutely no pressure to, especially if you are busy. We are always looking for new contributors but I can also take it from here if you are not able to. |
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@seanlaw , thanks, if it is just adding this notebook to a known location(forking the repository and adding the notebook, submitting the PR), I am happy to do it. If there is running a bunch of regression tests, then I think its best if someone familiar with the process does it. |
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No, problem. We can handle it. Thanks @rajivsam |
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Cool, thanks.
…On Fri, Jan 17, 2025 at 11:06 AM Sean M. Law ***@***.***> wrote:
@rajivsam <https://github.com/rajivsam> I created an issue here
<#1062> and it looks like
they actually have notebook with some code!
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Hello @seanlaw ,
I was going through your tutorial for the SKIMP In that tutorial the
max_m = 1000, my question is how did you reach to that value of 1000 when you do not known about maximum length of a subsequence/ window. In my case I have 60k data points only with the sampling rate how can i determine themax_mandmin_mis there any alternative to determine thisthanks
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