get_importance_generic: Function for generating the importance values of the...
In rgopikrishnan91/DiscNoise: Framework for Analysis of Impact of Discretization Noise on the Performance and Interpretation of Machine Learning Classifiers
Description
Usage
Arguments
Value
Description
Function for generating the importance values of the classifiers
Usage
1
get_importance_generic(model, var)
Arguments
model
a r model. A trained classifier model whose importance is to be evaluated
var
a character vector, containing the columnames of the test data set
Value
a numeric vector, with all the importance values for the features involved
rgopikrishnan91/DiscNoise documentation built on May 6, 2019, 6:59 p.m.
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Description Usage Arguments Value
Description
Function for generating the importance values of the classifiers
Usage
1 | get_importance_generic(model, var)
|
Arguments
model |
a r model. A trained classifier model whose importance is to be evaluated |
var |
a character vector, containing the columnames of the test data set |
Value
a numeric vector, with all the importance values for the features involved
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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