https://github.com/merck/deker
This library is made to perform feature selection based on a method originally proposed in by Sun et al. [1]. This library specifically relates to the methodology described in [2], named DEKER for decomposed kernel regression, which includes methods for identifying optimal hyperparameter values. This library was also designed for use in the context of network inference, also described in [2], by iteratively reapplying the DEKER method for feature selection across all features of a dataset.
https://github.com/merck/deker
Last synced: 7 months ago
JSON representation
This library is made to perform feature selection based on a method originally proposed in by Sun et al. [1]. This library specifically relates to the methodology described in [2], named DEKER for decomposed kernel regression, which includes methods for identifying optimal hyperparameter values. This library was also designed for use in the context of network inference, also described in [2], by iteratively reapplying the DEKER method for feature selection across all features of a dataset.
- Host: GitHub
- URL: https://github.com/merck/deker
- Owner: Merck
- License: other
- Created: 2021-06-17T13:58:48.000Z (almost 5 years ago)
- Default Branch: main
- Last Pushed: 2022-06-01T19:21:33.000Z (almost 4 years ago)
- Last Synced: 2024-11-16T23:12:43.510Z (over 1 year ago)
- Language: C++
- Size: 9.59 MB
- Stars: 2
- Watchers: 6
- Forks: 3
- Open Issues: 1