woe.glm.feature.importance: Woe Glm Feature Importance
In ayhandis/creditR: A Credit Risk Scoring and Validation Package
Description
Usage
Arguments
Examples
Description
This function allows the calculate feature importance for a given glm model with WOE transformation method.
Usage
1
woe.glm.feature.importance(model_data, model, default_flag)
Arguments
model_data
A model data set needs to be specified.
model
A GLM model built by WOE transformation should be given.
default_flag
The default flag need to specified as string.
Examples
1
woe.glm.feature.importance(model_data_v1, my_model,"default_f")
ayhandis/creditR documentation built on May 9, 2019, 8:41 a.m.
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Description Usage Arguments Examples
Description
This function allows the calculate feature importance for a given glm model with WOE transformation method.
Usage
1 | woe.glm.feature.importance(model_data, model, default_flag)
|
Arguments
model_data |
A model data set needs to be specified. |
model |
A GLM model built by WOE transformation should be given. |
default_flag |
The default flag need to specified as string. |
Examples
1 | woe.glm.feature.importance(model_data_v1, my_model,"default_f")
|
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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