
Internals Safely Make Workflow from Model Spec tibble
Source:R/internals-make-wflw.R
internal_make_wflw.Rd
Safely Make a workflow from a model spec tibble.
Arguments
- .model_tbl
The model table that is generated from a function like
fast_regression_parsnip_spec_tbl()
, must have a class of "tidyaml_mod_spec_tbl".- .rec_obj
The recipe object that is going to be used to make the workflow object.
Details
Create a model specification tibble that has a workflows::workflow()
list column.
See also
Other Internals:
internal_make_fitted_wflw()
,
internal_make_spec_tbl()
,
internal_make_wflw_predictions()
,
internal_set_args_to_tune()
,
make_classification_base_tbl()
,
make_regression_base_tbl()
Examples
library(recipes, quietly = TRUE)
library(dplyr, quietly = TRUE)
mod_spec_tbl <- fast_regression_parsnip_spec_tbl(
.parsnip_eng = c("lm","glm","gee"),
.parsnip_fns = "linear_reg"
)
rec_obj <- recipe(mpg ~ ., data = mtcars)
internal_make_wflw(mod_spec_tbl, rec_obj)
#> Error in `.f()`:
#> ! parsnip could not locate an implementation for `linear_reg` regression
#> model specifications using the `gee` engine.
#> ℹ The parsnip extension package multilevelmod implements support for this
#> specification.
#> ℹ Please install (if needed) and load to continue.
#> [[1]]
#> ══ Workflow ════════════════════════════════════════════════════════════════════
#> Preprocessor: Recipe
#> Model: linear_reg()
#>
#> ── Preprocessor ────────────────────────────────────────────────────────────────
#> 0 Recipe Steps
#>
#> ── Model ───────────────────────────────────────────────────────────────────────
#> Linear Regression Model Specification (regression)
#>
#> Computational engine: lm
#>
#>
#> [[2]]
#> NULL
#>
#> [[3]]
#> ══ Workflow ════════════════════════════════════════════════════════════════════
#> Preprocessor: Recipe
#> Model: linear_reg()
#>
#> ── Preprocessor ────────────────────────────────────────────────────────────────
#> 0 Recipe Steps
#>
#> ── Model ───────────────────────────────────────────────────────────────────────
#> Linear Regression Model Specification (regression)
#>
#> Computational engine: glm
#>
#>