xspliner
Assisted Model Building, using Surrogate Black-Box Models to Train Interpretable Spline Based Additive Models
Builds generalized linear model with automatic data transformation. The 'xspliner' helps to build simple, interpretable models that inherits informations provided by more complicated ones. The resulting model may be treated as explanation of provided black box, that was supplied prior to the algorithm.
- Version0.0.4
- R version≥ 3.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release09/25/2019
Documentation
Team
Krystian Igras
Przemyslaw Biecek
Show author detailsRolesAuthor, Thesis advisor
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- Depends1 package
- Imports9 packages
- Suggests15 packages