FHLocalizer-class: Feligi-Holt Errorlocalizer
In errorlocate: Locate Errors with Validation Rules
FHLocalizer-class R Documentation
Feligi-Holt Errorlocalizer
Description
Implementation of the Feligi-Holt algorithm using the ErrorLocalizer base class.
Given a set of validation rules and a dataset the Feligi-Holt algorithm finds for each record
the smallest (weighted) combination of variables that are erroneous (if any).
Note
Most users do not need this class and can use locate_errors().
errorlocalizer implements feligi holt using a MIP-solver. For problems in which
coefficients of the validation rules or the data are too different, you should consider scaling
the data.
errorlocate documentation built on Oct. 1, 2023, 1:08 a.m.
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| FHLocalizer-class | R Documentation |
Feligi-Holt Errorlocalizer
Description
Implementation of the Feligi-Holt algorithm using the ErrorLocalizer base class.
Given a set of validation rules and a dataset the Feligi-Holt algorithm finds for each record
the smallest (weighted) combination of variables that are erroneous (if any).
Note
Most users do not need this class and can use locate_errors().
errorlocalizer implements feligi holt using a MIP-solver. For problems in which
coefficients of the validation rules or the data are too different, you should consider scaling
the data.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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