Comments (8)
No worries! Yes, please do that so it can be tracked. I am currently testing the fix that resamples data with ms and sec granularity. It's taking awhile because I need to generate it from metricbeat.
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I vote for (3), and thanks for debugging this!
On a separate but related note, I've been manually running the code and setting the period to period = 96 because the data I'm working with is at a 15min interval - can you build in an option for configuration of the period as well, since people might be working with data that's every 10min, 15min, 30min, 2hrs, etc.?
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Adding in code to do the following:
- enable resampling of both sec and ms to minute
- render resampling of both sec and ms to be configurable so that either the resampling to a minute granularity occurs or a ValueError is thrown
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Ah thank you, John! Sorry for the delay, I've been traveling - do you still need this in an issue?
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Okay, pushed pull request.
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@triciascully this is implemented and tested in the master branch of my fork
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merged, thanks @Marcnuth
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Related Issues (20)
- local variable 'period' referenced before assignment HOT 5
- Add period configuration option to anomaly_detect_ts HOT 4
- Integrate period selection and resampling HOT 2
- unit tests don't run, need more test coverage HOT 2
- parallelize logic where possible with dask HOT 1
- modularize code HOT 4
- This ESD test implementation differs from the Twitter's R implementation and the definition of the test HOT 1
- Library is not working as expected
- possible to support sec level of granularity? HOT 1
- A bug in test_detect_ts.py HOT 1
- ModuleNotFoundError: No module named tad HOT 3
- add support for microsoft anomaly detection
- Refactor loops to enable parallelization?
- No module named 'tad'
- Exception with latest statsmodels library
- Code returns no results for Python2 HOT 1
- Need a setup.py file HOT 2
- median absolute deviation or mean absolute deviation HOT 2
- Issues with recent commits (args,kwargs, and more) HOT 6
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