eider
Declarative Feature Extraction from Tabular Data Records
Extract features from tabular data in a declarative fashion, with a focus on processing medical records. Features are specified as JSON and are independently processed before being joined. Input data can be provided as CSV files or as data frames. This setup ensures that data is transformed in a modular and reproducible manner, and allows the same pipeline to be easily applied to new data.
- Version1.0.0
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release05/13/2024
Documentation
Team
Camila Rangel Smith
Louis Aslett
Show author detailsRolesContributorThe Alan Turing Institute
Show author detailsRolesCopyright holder, fndCatalina Vallejos
Simon Rogers
Helen Duncan Little
Jonathan Yong
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports10 packages
- Suggests4 packages