Extract features from time series using moving windows of regression fits for continuous variables and by summarizing the duration and transistion features of discrete variables. This is a high-speed implementation of the feature extraction methods of the Morning Report Algorithms developed by Brett Amidan and Tom Ferryman.
|Author||Landon Sego, Lucas Tate|
|Maintainer||Landon Sego <Landon.Sego@pnnl.gov>|
|Package repository||View on GitHub|
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