Timeseries Pipeline Elements #26
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Downsampling, e.g. |
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Interpolation, filling in missing data points based on the other elements of the time series. Examples include last-object-carry-forward, linear interpolation, cubic interpolation, and many others. |
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Smoothing, reducing the number of data points in an attempt to make graphs of the data easier to interpret. ASAP smoothing seems popular right now |
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Maybe anomaly detection (eg. issue #45)? We might need to flesh out the timeseries API a bit more before we'll know, but maybe @mkindahl has an idea? |
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If we do end up creating something like the proposed Timeseries API, what pipeline elements would be useful? This topic exists to serve as a low-overhead staging ground to suggest new pipeline elements.
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