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.
Package details |
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Author | Landon Sego, Lucas Tate |
Maintainer | Landon Sego <Landon.Sego@pnnl.gov> |
License | file LICENSE |
Version | 0.1.7 |
Package repository | View on GitHub |
Installation |
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