man-roxygen/tunable-description.R
In brandon-mosqueda/SKM: Sparse Kernels Methods
#' @description
#' All the parameters marked as (__tunable__) accept a vector of values with
#' wich the grid is generated for grid search tuning or a list with the min
#' and max values for bayesian optimization tuning. The returned object contains
#' a `data.frame` with the hyperparameters combinations evaluated. In the end
#' the best combination of hyperparameters is used to fit the final model, which
#' is also returned and can be used to make new predictions.
brandon-mosqueda/SKM documentation built on Feb. 8, 2025, 5:24 p.m.
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#' @description
#' All the parameters marked as (__tunable__) accept a vector of values with
#' wich the grid is generated for grid search tuning or a list with the min
#' and max values for bayesian optimization tuning. The returned object contains
#' a `data.frame` with the hyperparameters combinations evaluated. In the end
#' the best combination of hyperparameters is used to fit the final model, which
#' is also returned and can be used to make new predictions.
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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