glmnetcv_regressor: Learner for training GLMNet models for regression problems...
In iai: Interface to 'Interpretable AI' Modules
glmnetcv_regressor R Documentation
Learner for training GLMNet models for regression problems with
cross-validation
Description
Julia Equivalent:
IAI.GLMNetCVRegressor
Usage
glmnetcv_regressor(...)
Arguments
...
Use keyword arguments to set parameters on the resulting learner.
Refer to the Julia documentation for available parameters.
IAI Compatibility
Requires IAI version 2.1 or higher.
Examples
## Not run: lnr <- iai::glmnetcv_regressor()
iai documentation built on Oct. 19, 2024, 1:07 a.m.
R Package Documentation
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| glmnetcv_regressor | R Documentation |
Learner for training GLMNet models for regression problems with cross-validation
Description
Julia Equivalent:
IAI.GLMNetCVRegressor
Usage
glmnetcv_regressor(...)
Arguments
... |
Use keyword arguments to set parameters on the resulting learner. Refer to the Julia documentation for available parameters. |
IAI Compatibility
Requires IAI version 2.1 or higher.
Examples
## Not run: lnr <- iai::glmnetcv_regressor()
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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