extract_model_spec: Extract A Model Specification

In tidyAML: Automatic Machine Learning with 'tidymodels'

Extract A Model Specification

Description

Extract a model specification from a tidyAML model tibble.

Usage

extract_model_spec(.data, .model_id = NULL)

Arguments

.data	The model table that must have the class tidyaml_mod_spec_tbl.
.model_id	The model number that you want to select, Must be an integer or sequence of integers, ie. 1 or c(1,3,5) or 1:2

Details

This function allows you to get a model specification or more from a tibble with a class of "tidyaml_mod_spec_tbl". It allows you to select the model by the .model_id column. You can call the model id's by an integer or a sequence of integers.

Value

A tibble with the chosen model specification(s).

Author(s)

Steven P. Sanderson II, MPH

See Also

Other Extractor: extract_regression_residuals(), extract_wflw(), extract_wflw_fit(), extract_wflw_pred(), get_model()

Examples

spec_tbl <- fast_regression_parsnip_spec_tbl(
  .parsnip_fns = "linear_reg",
  .parsnip_eng = c("lm","glm")
)

extract_model_spec(spec_tbl, 1)
extract_model_spec(spec_tbl, 1:2)

tidyAML documentation built on May 29, 2024, 4:07 a.m.