create_models: Wrapper Function for creating models & outputs
In Bilot/AI-jack-opensource-R: Package for Machine Learning project handling
Description
Usage
Arguments
Value
Description
Wrapper Function for creating models & outputs
Usage
1
create_models(set, main, prep, odbc)
Arguments
set
config object
main
main data object
prep
summary object
odbc
ODBC connection object (only needed when using DB connection)
Value
(1) Model fit measures, (2) Featurwe importances (for ML models),
(3) Model coefficients (GLM models),
(4) Model predictions for VALIDATION data,
(5) Table for model application, (6) Data factor levels, and
(7) Model parameters
Bilot/AI-jack-opensource-R documentation built on July 28, 2020, 1:15 a.m.
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Description Usage Arguments Value
Description
Wrapper Function for creating models & outputs
Usage
1 | create_models(set, main, prep, odbc)
|
Arguments
set |
config object |
main |
main data object |
prep |
summary object |
odbc |
ODBC connection object (only needed when using DB connection) |
Value
(1) Model fit measures, (2) Featurwe importances (for ML models), (3) Model coefficients (GLM models), (4) Model predictions for VALIDATION data, (5) Table for model application, (6) Data factor levels, and (7) Model parameters
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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