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(→Types of Transforms: note a few more things about time series) |
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* reductions: give back a scalar value, such as a mean, median, or standard deviation | * reductions: give back a scalar value, such as a mean, median, or standard deviation | ||
* windows: take a subset of the window for further analysis | |||
Note that a hg push series is a time series | Note that a hg push series is a time series | ||
We should move towards an architecture where an arbitrary set of filters may be applied. So you could e.g. filter, filter, window, reduce. | |||
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