r-lib / generics

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#' Determine the minimum set of model fits
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#'
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#' `min_grid()` determines exactly what models should be fit in order to
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#'  evaluate the entire set of tuning parameter combinations. This is for
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#'  internal use only and the API may change in the near future.
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#' @param x A model specification.
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#' @param grid A tibble with tuning parameter combinations.
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#' @param ... Not currently used.
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#' @return A tibble with the minimum tuning parameters to fit and an additional
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#' list column with the parameter combinations used for prediction.
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#' @section Methods:
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#' \Sexpr[stage=render,results=rd]{generics:::methods_rd("min_grid")}
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#' @export
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min_grid <- function(x, grid, ...) {
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  UseMethod("min_grid")
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}

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Files Coverage
R/augment.R 0.00%
R/calculate.R 0.00%
R/coercion.R 0.00%
R/compile.R 0.00%
R/components.R 0.00%
R/docs.R 92.68%
R/equation.R 0.00%
R/estfun.R 0.00%
R/evaluate.R 0.00%
R/explain.R 0.00%
R/fit.R 0.00%
R/fit_xy.R 0.00%
R/generate.R 0.00%
R/glance.R 0.00%
R/hypothesize.R 0.00%
R/interpolate.R 0.00%
R/learn.R 0.00%
R/min_grid.R
New File
0.00%
R/prune.R 0.00%
R/refit.R 0.00%
R/required_pkgs.R 0.00%
R/sets.R 0.00%
R/specify.R 0.00%
R/tidy.R 0.00%
R/train.R 0.00%
R/tunable.R 0.00%
R/var_imp.R 0.00%
R/varying_args.R 0.00%
R/visualize.R 0.00%
Project Totals (29 files) 60.80%
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