Add new primitive: Butterworth filter
@AlexanderGeiger is already working on this.
Since Apr 30, 2019.
Assessment
This issue has not been assessed yet.
Description
Description
A low pass filter (in this example a butterworth filter) for the preprocessing of time series data.
The outcome of such a filter should be similar to the moving aggregations, but the number of samples will not be decreased and therefore might improve the performance of the pipeline.
It takes an array of the data, that should be filtered, as input and returns another filtered array.
What I Did
I started implementing this primitive for testing purposes in the butterworth branch on my fork, which you can check out.
Concretely, I added a Primitive JSON file and a custom function in timeseries_preprocessing.py.
Any feedback on the primitive itself and the implementation would be highly appreciated.
- Dominant language
- Python
- Stars
- 70
- Forks
- 37
- PR merge metrics
- No merged PRs in 30d
Getting set up
- No Dockerfile or Docker Compose file
- No pull request template
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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