fast_regression_parsnip_spec_tbl: Utility Regression call to 'parsnip'

In tidyAML: Automatic Machine Learning with 'tidymodels'

Utility Regression call to parsnip

Description

Creates a tibble of parsnip regression model specifications.

Usage

fast_regression_parsnip_spec_tbl(.parsnip_fns = "all", .parsnip_eng = "all")

Arguments

.parsnip_fns	The default for this is set to all. This means that all of the parsnip linear regression functions will be used, for example linear_reg(), or cubist_rules. You can also choose to pass a c() vector like c("linear_reg","cubist_rules")
.parsnip_eng	The default for this is set to all. This means that all of the parsnip linear regression engines will be used, for example lm, or glm. You can also choose to pass a c() vector like c('lm', 'glm')

Details

Creates a tibble of parsnip regression model specifications. This will create a tibble of 46 different regression model specifications which can be filtered. The model specs are created first and then filtered out. This will only create models for regression problems. To find all of the supported models in this package you can visit https://www.tidymodels.org/find/parsnip/

Value

A tibble with an added class of 'fst_reg_spec_tbl'

Author(s)

Steven P. Sanderson II, MPH

See Also

Other Utility: core_packages(), create_splits(), create_workflow_set(), fast_classification_parsnip_spec_tbl(), full_internal_make_wflw(), install_deps(), load_deps(), match_args()

Examples

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

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