qFeature-package: Extract Features from Continuous or Discrete Time Series
In pnnl/qFeature: Extract Features from Continuous or Discrete Time Series
Description
Details
Author(s)
References
Examples
Description
Extract features from time series using moving windows of regression fits.
This is a high-speed implementation of the feature extraction methods of the
Morning Report Algorithms developed by Brett Amidan and Tom Ferryman.
Details
Package: qFeature
Type: Package
Version: 0.1.7
Date: 2015-11-04
License: file LICENSE
Author(s)
Landon Sego, Lucas Tate
Maintainer: Landon Sego <Landon.Sego@pnnl.gov>
References
Amidan BG, Ferryman TA. 2005. "Atypical Event and Typical Pattern Detection within Complex Systems."
IEEE Aerospace Conference Proceedings, March 2005.
Examples
1
2
pnnl/qFeature documentation built on May 25, 2019, 10:22 a.m.
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Description Details Author(s) References Examples
Description
Extract features from time series using moving windows of regression fits. This is a high-speed implementation of the feature extraction methods of the Morning Report Algorithms developed by Brett Amidan and Tom Ferryman.
Details
| Package: | qFeature |
| Type: | Package |
| Version: | 0.1.7 |
| Date: | 2015-11-04 |
| License: | file LICENSE |
Author(s)
Landon Sego, Lucas Tate
Maintainer: Landon Sego <Landon.Sego@pnnl.gov>
References
Amidan BG, Ferryman TA. 2005. "Atypical Event and Typical Pattern Detection within Complex Systems." IEEE Aerospace Conference Proceedings, March 2005.
Examples
1 2 |
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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