gen_wrap_sl_lib: Generate customized wrapper for SuperLearner libraries
In CausalGPS: Matching on Generalized Propensity Scores with Continuous Exposures
View source: R/generate_wrap_sl_lib.R
gen_wrap_sl_lib R Documentation
Generate customized wrapper for SuperLearner libraries
Description
The function generates customized wrapper in order to have access to the
external libraries hyperparameters.
Usage
gen_wrap_sl_lib(lib_name, params, nthread)
Arguments
lib_name
The library name (e.g., m_xgboost).
params
A list that includes key-values for different parameters. Only
relevant parameters will be extracted, others will be ignored.
nthread
Number of threads available to be used by external libraries
(in case they can use it).
Value
Returns a list of TRUE and best used parameters, if the modified library for
the given library is implemented; otherwise, it returns a list of FALSE.
This function is also called for side effects.
CausalGPS documentation built on Sept. 30, 2023, 1:06 a.m.
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View source: R/generate_wrap_sl_lib.R
| gen_wrap_sl_lib | R Documentation |
Generate customized wrapper for SuperLearner libraries
Description
The function generates customized wrapper in order to have access to the external libraries hyperparameters.
Usage
gen_wrap_sl_lib(lib_name, params, nthread)
Arguments
lib_name |
The library name (e.g., |
params |
A list that includes key-values for different parameters. Only relevant parameters will be extracted, others will be ignored. |
nthread |
Number of threads available to be used by external libraries (in case they can use it). |
Value
Returns a list of TRUE and best used parameters, if the modified library for the given library is implemented; otherwise, it returns a list of FALSE. This function is also called for side effects.
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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