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View Code? Open in Web Editor NEWAugment tsfresh with peak-to-peak timing features
License: MIT License
Augment tsfresh with peak-to-peak timing features
License: MIT License
It should work already with timestamp-indexed data. But if the data is integer-indexed, missing rows (e.g. samples/frames) are not accounted for. We currently count the number of rows between peaks. Need a way to count samples between peaks, just in case that's not the same thing.
Peak locations are being computed more than once for identical input parameters. A combiner
function should be able to fix this.
e.g. rel_height
, prominence
, etc.
We also need to come up with different sets of default settings for efficient vs. minimal vs. comprehensive runs.
e.g. peak prominences, other stuff from cardiology references.
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