get_tuned_params: Get the best parameters after tuning with CCI.tuner
In CCI: Computational Test for Conditional Independence
get_tuned_params R Documentation
Get the best parameters after tuning with CCI.tuner
Description
Get the best parameters after tuning with CCI.tuner
Usage
get_tuned_params(tuned_model)
Arguments
tuned_model
A model object returned from the CCI.pretuner function. This object contains the tuned parameters and other relevant information.
Value
A named list of tuned parameters specific to the model method (e.g., mtry for random forest, eta, max_depth for xgboost). Returns NULL for unsupported methods.
CCI documentation built on Aug. 29, 2025, 5:17 p.m.
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| get_tuned_params | R Documentation |
Get the best parameters after tuning with CCI.tuner
Description
Get the best parameters after tuning with CCI.tuner
Usage
get_tuned_params(tuned_model)
Arguments
tuned_model |
A model object returned from the CCI.pretuner function. This object contains the tuned parameters and other relevant information. |
Value
A named list of tuned parameters specific to the model method (e.g., mtry for random forest, eta, max_depth for xgboost). Returns NULL for unsupported methods.
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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