input_filter: Interaction terms filter when preparing for a linear...
In hongqi0314/PRAuto.PMML: User defined functions to output a PMML file that is to be implemented in S1
Description
Usage
Arguments
Value
Examples
Description
When extracting interaction patterns from a fitted XGBoost model to fit a linear
regression model, not all interaction terms can be used. Transformed features that
come from the same original feature can not be included in the same interaction term.
For example, we can't have a two way interaction term 'basisFICO_8:basisFICO_2' or a
three way interaciton term 'basisLTV_5:normTerm:basisLTV_3'.
Usage
1
input_filter(termName, matchName)
Arguments
termName
Character string indicating name of the interaction term.
matchName
Character string representing a pattern for matching, e.g., 'FICO'.
Value
An integer representing number of times 'matchName' appears in 'termName'
Examples
1
input_filter(termName = 'basisFICO_8:basisFICO_2', matchName = 'FICO')
hongqi0314/PRAuto.PMML documentation built on May 6, 2019, 11:30 a.m.
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Description Usage Arguments Value Examples
Description
When extracting interaction patterns from a fitted XGBoost model to fit a linear regression model, not all interaction terms can be used. Transformed features that come from the same original feature can not be included in the same interaction term. For example, we can't have a two way interaction term 'basisFICO_8:basisFICO_2' or a three way interaciton term 'basisLTV_5:normTerm:basisLTV_3'.
Usage
1 | input_filter(termName, matchName)
|
Arguments
termName |
Character string indicating name of the interaction term. |
matchName |
Character string representing a pattern for matching, e.g., 'FICO'. |
Value
An integer representing number of times 'matchName' appears in 'termName'
Examples
1 | input_filter(termName = 'basisFICO_8:basisFICO_2', matchName = 'FICO')
|
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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