importance_glmnet: Feature importance extractor for elastic net models
In emil: Evaluation of Modeling without Information Leakage
Description
Usage
Arguments
Value
Author(s)
See Also
Description
Feature importance extractor for elastic net models
Usage
1
2
3
4
5
importance_glmnet(object, s, ...)
importance_ridge_regression(object, s, ...)
importance_lasso(object, s, ...)
Arguments
object
Fitted elastic net model, as produced by
fit_glmnet.
s
Regularization parameter lambda.
...
Sent to predict.glmnet.
Value
A feature imortance data frame.
Author(s)
Christofer Bäcklin
See Also
emil, fit_glmnet,
predict_glmnet, modeling_procedure
emil documentation built on Aug. 1, 2018, 1:03 a.m.
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Description Usage Arguments Value Author(s) See Also
Description
Feature importance extractor for elastic net models
Usage
1 2 3 4 5 | importance_glmnet(object, s, ...)
importance_ridge_regression(object, s, ...)
importance_lasso(object, s, ...)
|
Arguments
object |
Fitted elastic net model, as produced by
|
s |
Regularization parameter lambda. |
... |
Sent to |
Value
A feature imortance data frame.
Author(s)
Christofer Bäcklin
See Also
emil, fit_glmnet,
predict_glmnet, modeling_procedure
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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